{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T17:54:18Z","timestamp":1781546058464,"version":"3.54.5"},"reference-count":86,"publisher":"Association for Computing Machinery (ACM)","issue":"2","license":[{"start":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T00:00:00Z","timestamp":1781481600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the Natural Science Foundation of China","doi-asserted-by":"crossref","award":["62132010, 62472243"],"award-info":[{"award-number":["62132010, 62472243"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"crossref"}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["Proc. ACM Interact. Mob. Wearable Ubiquitous Technol."],"published-print":{"date-parts":[[2026,6,15]]},"abstract":"<jats:p>Applying Vision-Language Models (VLMs) to pervasive personal videos introduces profound privacy risks. This paper addresses the critical yet unexplored inferential privacy threat, specifically the risk of inferring sensitive personal attributes from seemingly benign data. To address this gap, we crowdsourced a dataset of 508 everyday personal videos from 58 individuals, and benchmarked VLM inference capabilities against human performance. Our findings reveal three key insights: (1) VLMs surpass recruited human evaluators in inferential accuracy, analyzing temporal behavioral patterns rather than relying solely on object recognition. (2) Inferential risk is strongly correlated with specific video characteristics and prompting strategies. (3) VLM-driven explanation towards the inference is unreliable, as we observe a disconnect between the model's reasoning and evidential impact, where ubiquitous objects often serve as misleading confounders.<\/jats:p>","DOI":"10.1145\/3810199","type":"journal-article","created":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T17:06:41Z","timestamp":1781543201000},"page":"1-38","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["The Pervasive Blind Spot: Benchmarking VLM Inference Risks on Everyday Personal Videos"],"prefix":"10.1145","volume":"10","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-4145-117X","authenticated-orcid":false,"given":"Shuning","family":"Zhang","sequence":"first","affiliation":[{"name":"Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-3109-3301","authenticated-orcid":false,"given":"Zhaoxin","family":"Li","sequence":"additional","affiliation":[{"name":"Communication university of China, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0003-1398-0589","authenticated-orcid":false,"given":"Changxi","family":"Wen","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5413-0132","authenticated-orcid":false,"given":"Ying","family":"Ma","sequence":"additional","affiliation":[{"name":"School of Computing and Information Systems, University of Melbourne, Melbourne, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7947-6743","authenticated-orcid":false,"given":"Simin","family":"Li","sequence":"additional","affiliation":[{"name":"Beihang University, Beijing, China and The Chinese University of Hong Kong, Hong Kong, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-7955-5861","authenticated-orcid":false,"given":"Gengrui","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-0312-2544","authenticated-orcid":false,"given":"Ziyi","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Information Sciences, University of Illinois at Urbana-Champaign, Champaign, Illinois, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0009-0370-5456","authenticated-orcid":false,"given":"Yibo","family":"Meng","sequence":"additional","affiliation":[{"name":"Cornell University, New York, New York, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0398-3842","authenticated-orcid":false,"given":"Hantao","family":"Zhao","sequence":"additional","affiliation":[{"name":"Southeast University, Nanjing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8041-7962","authenticated-orcid":false,"given":"Xin","family":"Yi","sequence":"additional","affiliation":[{"name":"Institute for Network Sciences and Cyberspace, Tsinghua University, Beijing, Chinaand Beijing Academy of Artificial Intelligence, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6331-6542","authenticated-orcid":false,"given":"Hewu","family":"Li","sequence":"additional","affiliation":[{"name":"Tsinghua University, Beijing, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,6,15]]},"reference":[{"key":"e_1_2_1_1_1","volume-title":"Sanity checks for saliency maps. Advances in neural information processing systems 31","author":"Adebayo Julius","year":"2018","unstructured":"Julius Adebayo, Justin Gilmer, Michael Muelly, Ian Goodfellow, Moritz Hardt, and Been Kim. 2018. Sanity checks for saliency maps. Advances in neural information processing systems 31 (2018)."},{"key":"e_1_2_1_2_1","volume-title":"Proceedings of the ACM on human-computer interaction 3, EICS","author":"Aiordachioae Adrian","year":"2019","unstructured":"Adrian Aiordachioae and Radu-Daniel Vatavu. 2019. Life-tags: a smartglasses-based system for recording and abstracting life with tag clouds. Proceedings of the ACM on human-computer interaction 3, EICS (2019), 1\u201322."},{"key":"e_1_2_1_3_1","volume-title":"Proceedings of the CHI Conference on Human Factors in Computing Systems. 1\u201321","author":"Asthana Sumit","year":"2024","unstructured":"Sumit Asthana, Jane Im, Zhe Chen, and Nikola Banovic. 2024. \u201cI know even if you don't tell me\u201d: Understanding Users' Privacy Preferences Regarding AI-based Inferences of Sensitive Information for Personalization. In Proceedings of the CHI Conference on Human Factors in Computing Systems. 1\u201321."},{"key":"e_1_2_1_4_1","doi-asserted-by":"crossref","first-page":"71","DOI":"10.1109\/MSP.2012.52","article-title":"The menlo report","volume":"10","author":"Bailey Michael","year":"2012","unstructured":"Michael Bailey, David Dittrich, Erin Kenneally, and Doug Maughan. 2012. The menlo report. IEEE Security & Privacy 10, 2 (2012), 71\u201375.","journal-title":"IEEE Security & Privacy"},{"key":"e_1_2_1_5_1","volume-title":"2025 IEEE\/ACM 47th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS). IEEE, 173\u2013184","author":"Bano Muneera","year":"2025","unstructured":"Muneera Bano, Hashini Gunatilake, and Rashina Hoda. 2025. What does a software engineer look like? exploring societal stereotypes in llms. In 2025 IEEE\/ACM 47th International Conference on Software Engineering: Software Engineering in Society (ICSE-SEIS). IEEE, 173\u2013184."},{"key":"e_1_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Tom L Beauchamp et al. 2008. The belmont report. The Oxford textbook of clinical research ethics (2008) 149\u2013155.","DOI":"10.1093\/oso\/9780195168655.003.0015"},{"key":"e_1_2_1_7_1","volume-title":"Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. 174\u2013184","author":"Bhattacharya Aditya","year":"2025","unstructured":"Aditya Bhattacharya, Tim Vanherwegen, and Katrien Verbert. 2025. \u201cShow Me How\u201d: Benefits and Challenges of Agent-Augmented Counterfactual Explanations for Non-Expert Users. In Proceedings of the 33rd ACM Conference on User Modeling, Adaptation and Personalization. 174\u2013184."},{"key":"e_1_2_1_8_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3699776","article-title":"Wear: An outdoor sports dataset for wearable and egocentric activity recognition","volume":"8","author":"Bock Marius","year":"2024","unstructured":"Marius Bock, Hilde Kuehne, Kristof Van Laerhoven, and Michael Moeller. 2024. Wear: An outdoor sports dataset for wearable and egocentric activity recognition. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, 4 (2024), 1\u201321.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_9_1","volume-title":"Yuanzhi Li, Scott Lundberg, et al.","author":"Bubeck S\u00e9bastien","year":"2023","unstructured":"S\u00e9bastien Bubeck, Varun Chandrasekaran, Ronen Eldan, Johannes Gehrke, Eric Horvitz, Ece Kamar, Peter Lee, Yin Tat Lee, Yuanzhi Li, Scott Lundberg, et al. 2023. Sparks of artificial general intelligence: Early experiments with gpt-4. arXiv preprint arXiv:2303.12712 (2023)."},{"key":"e_1_2_1_10_1","first-page":"1","article-title":"Mobivqa: Efficient on-device visual question answering","volume":"6","author":"Cao Qingqing","year":"2022","unstructured":"Qingqing Cao, Prerna Khanna, Nicholas D Lane, and Aruna Balasubramanian. 2022. Mobivqa: Efficient on-device visual question answering. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 2 (2022), 1\u201323.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_11_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3589294","article-title":"Measuring re-identification risk","volume":"1","author":"Carey CJ","year":"2023","unstructured":"CJ Carey, Travis Dick, Alessandro Epasto, Adel Javanmard, Josh Karlin, Shankar Kumar, Andres Mu\u00f1oz Medina, Vahab Mirrokni, Gabriel Henrique Nunes, Sergei Vassilvitskii, et al. 2023. Measuring re-identification risk. Proceedings of the ACM on Management of Data 1, 2 (2023), 1\u201326.","journal-title":"Proceedings of the ACM on Management of Data"},{"key":"e_1_2_1_12_1","volume-title":"International Conference on Computer Analysis of Images and Patterns. Springer, 13\u201322","author":"Castrill\u00f3n-Santana Modesto","year":"2023","unstructured":"Modesto Castrill\u00f3n-Santana, Elena S\u00e1nchez-Nielsen, David Freire-Obreg\u00f3n, Oliverio J Santana, Daniel Hern\u00e1ndez-Sosa, and Javier Lorenzo-Navarro. 2023. Evaluation of a Visual Question Answering Architecture for Pedestrian Attribute Recognition. In International Conference on Computer Analysis of Images and Patterns. Springer, 13\u201322."},{"key":"e_1_2_1_13_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3699747","article-title":"Sensor2text: Enabling natural language interactions for daily activity tracking using wearable sensors","volume":"8","author":"Chen Wenqiang","year":"2024","unstructured":"Wenqiang Chen, Jiaxuan Cheng, Leyao Wang, Wei Zhao, and Wojciech Matusik. 2024. Sensor2text: Enabling natural language interactions for daily activity tracking using wearable sensors. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, 4 (2024), 1\u201326.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_14_1","volume-title":"Proceedings of the international AAAI conference on web and social media","volume":"9","author":"Chen Xin","year":"2015","unstructured":"Xin Chen, Yu Wang, Eugene Agichtein, and Fusheng Wang. 2015. A comparative study of demographic attribute inference in twitter. In Proceedings of the international AAAI conference on web and social media, Vol. 9. 590\u2013593."},{"key":"e_1_2_1_15_1","doi-asserted-by":"crossref","first-page":"6994","DOI":"10.1109\/TCSVT.2022.3178144","article-title":"A simple visual-textual baseline for pedestrian attribute recognition","volume":"32","author":"Cheng Xinhua","year":"2022","unstructured":"Xinhua Cheng, Mengxi Jia, Qian Wang, and Jian Zhang. 2022. A simple visual-textual baseline for pedestrian attribute recognition. IEEE Transactions on Circuits and Systems for Video Technology 32, 10 (2022), 6994\u20137004.","journal-title":"IEEE Transactions on Circuits and Systems for Video Technology"},{"key":"e_1_2_1_16_1","first-page":"1","article-title":"Collective privacy management in social media: A cross-cultural validation","volume":"25","author":"Cho Hichang","year":"2018","unstructured":"Hichang Cho, Bart Knijnenburg, Alfred Kobsa, and Yao Li. 2018. Collective privacy management in social media: A cross-cultural validation. ACM Transactions on Computer-Human Interaction (TOCHI) 25, 3 (2018), 1\u201333.","journal-title":"ACM Transactions on Computer-Human Interaction (TOCHI)"},{"key":"e_1_2_1_17_1","volume-title":"Proceedings of the European conference on computer vision (ECCV). 720\u2013736","author":"Damen Dima","year":"2018","unstructured":"Dima Damen, Hazel Doughty, Giovanni Maria Farinella, Sanja Fidler, Antonino Furnari, Evangelos Kazakos, Davide Moltisanti, Jonathan Munro, Toby Perrert, Will Price, et al. 2018. Scaling egocentric vision: The epic-kitchens dataset. In Proceedings of the European conference on computer vision (ECCV). 720\u2013736."},{"key":"e_1_2_1_18_1","volume-title":"Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 416\u2013425","author":"Duddu Vasisht","year":"2022","unstructured":"Vasisht Duddu and Antoine Boutet. 2022. Inferring sensitive attributes from model explanations. In Proceedings of the 31st ACM International Conference on Information & Knowledge Management. 416\u2013425."},{"key":"e_1_2_1_19_1","volume-title":"Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 1\u201332","author":"Ehsan Upol","year":"2024","unstructured":"Upol Ehsan, Samir Passi, Q Vera Liao, Larry Chan, I-Hsiang Lee, Michael Muller, and Mark O Riedl. 2024. The who in XAI: how AI background shapes perceptions of AI explanations. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 1\u201332."},{"key":"e_1_2_1_20_1","first-page":"3","volume-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8","author":"Fan Lihua","year":"2024","unstructured":"Lihua Fan, Shuning Zhang, Yan Kong, Xin Yi, Yang Wang, Xuhai\u201c Orson\u201d Xu, Chun Yu, Hewu Li, and Yuanchun Shi. 2024. Evaluating the Privacy Valuation of Personal Data on Smartphones. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, 3 (2024), 1\u201333."},{"key":"e_1_2_1_21_1","volume-title":"Proceedings of the ACM on Human-Computer Interaction 5, CSCW2","author":"Anaraky Reza Ghaiumy","year":"2021","unstructured":"Reza Ghaiumy Anaraky, Yao Li, and Bart Knijnenburg. 2021. Difficulties of measuring culture in privacy studies. Proceedings of the ACM on Human-Computer Interaction 5, CSCW2 (2021), 1\u201326."},{"key":"e_1_2_1_22_1","volume-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 18995\u201319012","author":"Grauman Kristen","year":"2022","unstructured":"Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, et al. 2022. Ego4d: Around the world in 3,000 hours of egocentric video. In Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition. 18995\u201319012."},{"key":"e_1_2_1_23_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3161198","article-title":"Privacy-preserving image processing with binocular thermal cameras","volume":"1","author":"Griffiths Erin","year":"2018","unstructured":"Erin Griffiths, Salah Assana, and Kamin Whitehouse. 2018. Privacy-preserving image processing with binocular thermal cameras. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, 4 (2018), 1\u201325.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_24_1","volume-title":"Not my agent, not my boundary? elicitation of personal privacy boundaries in ai-delegated information sharing. arXiv preprint arXiv:2509.21712","author":"Guo Bingcan","year":"2025","unstructured":"Bingcan Guo, Eryue Xu, Zhiping Zhang, and Tianshi Li. 2025. Not my agent, not my boundary? elicitation of personal privacy boundaries in ai-delegated information sharing. arXiv preprint arXiv:2509.21712 (2025)."},{"key":"e_1_2_1_25_1","volume-title":"International conference on ubiquitous computing. Springer, 177\u2013193","author":"Hodges Steve","year":"2006","unstructured":"Steve Hodges, Lyndsay Williams, Emma Berry, Shahram Izadi, James Srinivasan, Alex Butler, Gavin Smyth, Narinder Kapur, and Ken Wood. 2006. SenseCam: A retrospective memory aid. In International conference on ubiquitous computing. Springer, 177\u2013193."},{"key":"e_1_2_1_26_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3749513","article-title":"Vinci: A Real-time Smart Assistant Based on Egocentric Vision-language Model for Portable Devices","volume":"9","author":"Huang Yifei","year":"2025","unstructured":"Yifei Huang, Jilan Xu, Baoqi Pei, Lijin Yang, Mingfang Zhang, Yuping He, Guo Chen, Xinyuan Chen, Yaohui Wang, Zheng Nie, et al. 2025. Vinci: A Real-time Smart Assistant Based on Egocentric Vision-language Model for Portable Devices. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 9, 3 (2025), 1\u201333.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_27_1","volume-title":"Evaluating Precise Geolocation Inference Capabilities of Vision Language Models. In Workshop on Datasets and Evaluators of AI Safety.","author":"Jay Neel","year":"2025","unstructured":"Neel Jay, Hieu Minh Nguyen, Hoang Trung Dung, and Jacob Haimes. 2025. Evaluating Precise Geolocation Inference Capabilities of Vision Language Models. In Workshop on Datasets and Evaluators of AI Safety."},{"key":"e_1_2_1_28_1","volume-title":"Proceedings of the 18th ACM Conference on Recommender Systems. 1283\u20131289","author":"Jeng Jia Hua","year":"2024","unstructured":"Jia Hua Jeng. 2024. Bridging Viewpoints in News with Recommender Systems. In Proceedings of the 18th ACM Conference on Recommender Systems. 1283\u20131289."},{"key":"e_1_2_1_29_1","unstructured":"Glenn Jocher Ayush Chaurasia and Jing Qiu. 2023. Ultralytics YOLOv8. https:\/\/github.com\/ultralytics\/ultralytics"},{"key":"e_1_2_1_30_1","volume-title":"Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing: Adjunct publication. 1307\u20131312","author":"Jung Jaeyeon","year":"2014","unstructured":"Jaeyeon Jung and Matthai Philipose. 2014. Courteous glass. In Proceedings of the 2014 ACM international joint conference on pervasive and ubiquitous computing: Adjunct publication. 1307\u20131312."},{"key":"e_1_2_1_31_1","volume-title":"International conference on ubiquitous computing. Springer, 273\u2013291","author":"Langheinrich Marc","year":"2001","unstructured":"Marc Langheinrich. 2001. Privacy by design\u2014principles of privacy-aware ubiquitous systems. In International conference on ubiquitous computing. Springer, 273\u2013291."},{"key":"e_1_2_1_32_1","volume-title":"Proceedings of the AAAI\/ACM Conference on AI, Ethics, and Society","volume":"7","author":"Leidinger Alina","year":"2024","unstructured":"Alina Leidinger and Richard Rogers. 2024. How are LLMs mitigating stereotyping harms? Learning from search engine studies. In Proceedings of the AAAI\/ACM Conference on AI, Ethics, and Society, Vol. 7. 839\u2013854."},{"key":"e_1_2_1_33_1","doi-asserted-by":"crossref","first-page":"3632","DOI":"10.1109\/TIFS.2023.3282384","article-title":"Privacy-enhancing face obfuscation guided by semantic-aware attribution maps","volume":"18","author":"Li Jingzhi","year":"2023","unstructured":"Jingzhi Li, Hua Zhang, Siyuan Liang, Pengwen Dai, and Xiaochun Cao. 2023. Privacy-enhancing face obfuscation guided by semantic-aware attribution maps. IEEE Transactions on Information Forensics and Security 18 (2023), 3632\u20133646.","journal-title":"IEEE Transactions on Information Forensics and Security"},{"key":"e_1_2_1_34_1","volume-title":"Forty-first International Conference on Machine Learning.","author":"Li Ling","year":"2024","unstructured":"Ling Li, Yu Ye, Bingchuan Jiang, and Wei Zeng. 2024. Georeasoner: Geo-localization with reasoning in street views using a large vision-language model. In Forty-first International Conference on Machine Learning."},{"key":"e_1_2_1_35_1","volume-title":"Proceedings of the ACM on Human-Computer Interaction 5, CSCW1","author":"Li Yao","year":"2021","unstructured":"Yao Li, Reza Ghaiumy Anaraky, and Bart Knijnenburg. 2021. How not to measure social network privacy: A cross-country investigation. Proceedings of the ACM on Human-Computer Interaction 5, CSCW1 (2021), 1\u201332."},{"key":"e_1_2_1_36_1","volume-title":"European conference on computer vision. Springer, 740\u2013755","author":"Lin Tsung-Yi","year":"2014","unstructured":"Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Doll\u00e1r, and C Lawrence Zitnick. 2014. Microsoft coco: Common objects in context. In European conference on computer vision. Springer, 740\u2013755."},{"key":"e_1_2_1_37_1","volume-title":"Proceedings of the 33rd ACM International Conference on Multimedia. 4875\u20134883","author":"Liu Feiran","year":"2025","unstructured":"Feiran Liu, Yuzhe Zhang, Xinyi Huang, Yinan Peng, Xinfeng Li, Lixu Wang, Yutong Shen, Ranjie Duan, Simeng Qin, Xiaojun Jia, et al. 2025. The eye of sherlock holmes: Uncovering user private attribute profiling via vision-language model agentic framework. In Proceedings of the 33rd ACM International Conference on Multimedia. 4875\u20134883."},{"key":"e_1_2_1_38_1","volume-title":"Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 1\u201320","author":"Ma Shuai","year":"2024","unstructured":"Shuai Ma, Xinru Wang, Ying Lei, Chuhan Shi, Ming Yin, and Xiaojuan Ma. 2024. \u201cAre you really sure?\u201d Understanding the effects of human self-confidence calibration in AI-assisted decision making. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 1\u201320."},{"key":"e_1_2_1_39_1","volume-title":"Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. 1\u201314","author":"Ma Ying","year":"2025","unstructured":"Ying Ma, Shiquan Zhang, Dongju Yang, Zhanna Sarsenbayeva, Jarrod Knibbe, and Jorge Goncalves. 2025. Raising Awareness of Location Information Vulnerabilities in Social Media Photos using LLMs. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. 1\u201314."},{"key":"e_1_2_1_40_1","volume-title":"31st USENIX Security Symposium (USENIX Security 22)","author":"Mehnaz Shagufta","year":"2022","unstructured":"Shagufta Mehnaz, Sayanton V Dibbo, Ehsanul Kabir, Ninghui Li, and Elisa Bertino. 2022. Are your sensitive attributes private? novel model inversion attribute inference attacks on classification models. In 31st USENIX Security Symposium (USENIX Security 22). 4579\u20134596."},{"key":"e_1_2_1_41_1","volume-title":"Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 17240\u201317292","author":"Mendes Ethan","year":"2024","unstructured":"Ethan Mendes, Yang Chen, James Hays, Sauvik Das, Wei Xu, and Alan Ritter. 2024. Granular Privacy Control for Geolocation with Vision Language Models. In Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing. 17240\u201317292."},{"key":"e_1_2_1_42_1","volume-title":"Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology. 1\u201326","author":"Monteiro Kyzyl","year":"2025","unstructured":"Kyzyl Monteiro, Yuchen Wu, and Sauvik Das. 2025. Imago Obscura: An Image Privacy AI Co-pilot to Enable Identification and Mitigation of Risks. In Proceedings of the 38th Annual ACM Symposium on User Interface Software and Technology. 1\u201326."},{"key":"e_1_2_1_43_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3712266","article-title":"Transient Authentication from First-Person-View Video","volume":"9","author":"Nguyen Le Ngu","year":"2025","unstructured":"Le Ngu Nguyen, Rainhard Dieter Findling, Maija Poikela, Si Zuo, and Stephan Sigg. 2025. Transient Authentication from First-Person-View Video. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 9, 1 (2025), 1\u201331.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_44_1","unstructured":"Yuxiang Nie Han Wang Yongjie Ye Haiyang Yu Weitao Jia Tao Zeng Hao Feng Xiang Fei Yang Li Xiaohui Lv et al. 2025. ChineseVideoBench: Benchmarking Multi-modal Large Models for Chinese Video Question Answering. arXiv preprint arXiv:2511.18399 (2025)."},{"key":"e_1_2_1_45_1","volume-title":"Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 1\u201313","author":"Nimmo Robert","year":"2024","unstructured":"Robert Nimmo, Marios Constantinides, Ke Zhou, Daniele Quercia, and Simone Stumpf. 2024. User Characteristics in Explainable AI: The Rabbit Hole of Personalization?. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 1\u201313."},{"key":"e_1_2_1_46_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3569501","article-title":"Privacy-enhancing technology and everyday augmented reality: Understanding bystanders' varying needs for awareness and consent","volume":"6","author":"O'Hagan Joseph","year":"2023","unstructured":"Joseph O'Hagan, Pejman Saeghe, Jan Gugenheimer, Daniel Medeiros, Karola Marky, Mohamed Khamis, and Mark McGill. 2023. Privacy-enhancing technology and everyday augmented reality: Understanding bystanders' varying needs for awareness and consent. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 6, 4 (2023), 1\u201335.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_47_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3432700","article-title":"Uncovering practical security and privacy threats for connected glasses with embedded video cameras","volume":"4","author":"Opaschi Octav","year":"2020","unstructured":"Octav Opaschi and Radu-Daniel Vatavu. 2020. Uncovering practical security and privacy threats for connected glasses with embedded video cameras. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 4, 4 (2020), 1\u201326.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_48_1","volume-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 8466\u20138475","author":"Orekondy Tribhuvanesh","year":"2018","unstructured":"Tribhuvanesh Orekondy, Mario Fritz, and Bernt Schiele. 2018. Connecting pixels to privacy and utility: Automatic redaction of private information in images. In Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition. 8466\u20138475."},{"key":"e_1_2_1_49_1","volume-title":"Proceedings of the IEEE international conference on computer vision. 3686\u20133695","author":"Orekondy Tribhuvanesh","year":"2017","unstructured":"Tribhuvanesh Orekondy, Bernt Schiele, and Mario Fritz. 2017. Towards a visual privacy advisor: Understanding and predicting privacy risks in images. In Proceedings of the IEEE international conference on computer vision. 3686\u20133695."},{"key":"e_1_2_1_50_1","volume-title":"International conference on machine learning. PmLR, 8748\u20138763","author":"Radford Alec","year":"2021","unstructured":"Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al. 2021. Learning transferable visual models from natural language supervision. In International conference on machine learning. PmLR, 8748\u20138763."},{"key":"e_1_2_1_51_1","volume-title":"European Conference on Computer Vision. Springer, 17\u201334","author":"Rao Anyi","year":"2020","unstructured":"Anyi Rao, Jiaze Wang, Linning Xu, Xuekun Jiang, Qingqiu Huang, Bolei Zhou, and Dahua Lin. 2020. A unified framework for shot type classification based on subject centric lens. In European Conference on Computer Vision. Springer, 17\u201334."},{"key":"e_1_2_1_52_1","volume-title":"Narseo Vallina-Rodriguez, and Serge Egelman.","author":"Reardon Joel","year":"2019","unstructured":"Joel Reardon, \u00c1lvaro Feal, Primal Wijesekera, Amit Elazari Bar On, Narseo Vallina-Rodriguez, and Serge Egelman. 2019. 50 ways to leak your data: An exploration of apps' circumvention of the android permissions system. In 28th USENIX security symposium (USENIX security 19). 603\u2013620."},{"key":"e_1_2_1_53_1","volume-title":"Role play with large language models. Nature 623, 7987","author":"Shanahan Murray","year":"2023","unstructured":"Murray Shanahan, Kyle McDonell, and Laria Reynolds. 2023. Role play with large language models. Nature 623, 7987 (2023), 493\u2013498."},{"key":"e_1_2_1_54_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3749515","article-title":"AdsDP: A Video Dataset for Recognizing and Examining Dark Patterns in iOS In-App Advertisements","volume":"9","author":"Shang Yuxuan","year":"2025","unstructured":"Yuxuan Shang, Guanxiao Wang, Mengxia Ren, Haomin Zhang, Xingming Chen, Haitao Xu, Chuan Yue, Shuai Hao, Bo Zhou, Wenrui Ma, et al. 2025. AdsDP: A Video Dataset for Recognizing and Examining Dark Patterns in iOS In-App Advertisements. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 9, 3 (2025), 1\u201331.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_55_1","first-page":"89373","article-title":"Privacylens: Evaluating privacy norm awareness of language models in action","volume":"37","author":"Shao Yijia","year":"2024","unstructured":"Yijia Shao, Tianshi Li, Weiyan Shi, Yanchen Liu, and Diyi Yang. 2024. Privacylens: Evaluating privacy norm awareness of language models in action. Advances in Neural Information Processing Systems 37 (2024), 89373\u201389407.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_1_56_1","volume-title":"Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems. 1\u201313","author":"Srivastava Animesh","year":"2017","unstructured":"Animesh Srivastava, Puneet Jain, Soteris Demetriou, Landon P Cox, and Kyu-Han Kim. 2017. CamForensics: Understanding visual privacy leaks in the wild. In Proceedings of the 15th ACM Conference on Embedded Network Sensor Systems. 1\u201313."},{"key":"e_1_2_1_57_1","volume-title":"The Twelfth International Conference on Learning Representations.","author":"Staab Robin","year":"2023","unstructured":"Robin Staab, Mark Vero, Mislav Balunovic, and Martin Vechev. 2023. Beyond Memorization: Violating Privacy via Inference with Large Language Models. In The Twelfth International Conference on Learning Representations."},{"key":"e_1_2_1_58_1","unstructured":"Stanford University Privacy Office. 2026. Data Use Agreement (DUA) FAQs. https:\/\/privacy.stanford.edu\/other-resources\/data-use- agreement-dua-faqs. [Accessed: 2026-02-01]."},{"key":"e_1_2_1_59_1","first-page":"1","article-title":"Rewind: Automatically Reconstructing Everyday Memories with First-Person Perspectives","volume":"2","author":"Tan Neille-Ann H","year":"2018","unstructured":"Neille-Ann H Tan, Han Sha, Eda Celen, Phucanh Tran, Kelly Wang, Gifford Cheung, Philip Hinch, and Jeff Huang. 2018. Rewind: Automatically Reconstructing Everyday Memories with First-Person Perspectives. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 2, 4 (2018), 1\u201320.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_60_1","volume-title":"A general inductive approach for analyzing qualitative evaluation data. American journal of evaluation 27, 2","author":"Thomas David R","year":"2006","unstructured":"David R Thomas. 2006. A general inductive approach for analyzing qualitative evaluation data. American journal of evaluation 27, 2 (2006), 237\u2013246."},{"key":"e_1_2_1_61_1","volume-title":"Private Attribute Inference from Images with Vision-Language Models. arXiv preprint arXiv:2404.10618","author":"T\u00f6mek\u00e7e Batuhan","year":"2024","unstructured":"Batuhan T\u00f6mek\u00e7e, Mark Vero, Robin Staab, and Martin Vechev. 2024. Private Attribute Inference from Images with Vision-Language Models. arXiv preprint arXiv:2404.10618 (2024)."},{"key":"e_1_2_1_62_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3631406","article-title":"Aragorn: A Privacy-Enhancing System for Mobile Cameras","volume":"7","author":"Venugopalan Hari","year":"2024","unstructured":"Hari Venugopalan, Zainul Abi Din, Trevor Carpenter, Jason Lowe-Power, Samuel T King, and Zubair Shafiq. 2024. Aragorn: A Privacy-Enhancing System for Mobile Cameras. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, 4 (2024), 1\u201331.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_63_1","volume-title":"The man behind the sound: Demystifying audio private attribute profiling via multimodal large language model agents. arXiv preprint arXiv:2507.10016","author":"Wang Lixu","year":"2025","unstructured":"Lixu Wang, Kaixiang Yao, Xinfeng Li, Dong Yang, Haoyang Li, Xiaofeng Wang, and Wei Dong. 2025. The man behind the sound: Demystifying audio private attribute profiling via multimodal large language model agents. arXiv preprint arXiv:2507.10016 (2025)."},{"key":"e_1_2_1_64_1","volume-title":"Pedestrian attribute recognition via clip based prompt vision-language fusion","author":"Wang Xiao","year":"2024","unstructured":"Xiao Wang, Jiandong Jin, Chenglong Li, Jin Tang, Cheng Zhang, and Wei Wang. 2024. Pedestrian attribute recognition via clip based prompt vision-language fusion. IEEE Transactions on Circuits and Systems for Video Technology (2024)."},{"key":"e_1_2_1_65_1","volume-title":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1\u201319","author":"Wang Xinru","year":"2023","unstructured":"Xinru Wang and Ming Yin. 2023. Watch out for updates: Understanding the effects of model explanation updates in ai-assisted decision making. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1\u201319."},{"key":"e_1_2_1_66_1","volume-title":"Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1\u201315","author":"Wang Yuntao","year":"2023","unstructured":"Yuntao Wang, Zirui Cheng, Xin Yi, Yan Kong, Xueyang Wang, Xuhai Xu, Yukang Yan, Chun Yu, Shwetak Patel, and Yuanchun Shi. 2023. Modeling the trade-off of privacy preservation and activity recognition on low-resolution images. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems. 1\u201315."},{"key":"e_1_2_1_67_1","volume-title":"Proceedings of the 19th ACM conference on computer-supported cooperative work & social computing. 539\u2013552","author":"Wang Yang","year":"2016","unstructured":"Yang Wang, Huichuan Xia, and Yun Huang. 2016. Examining American and Chinese internet users' contextual privacy preferences of behavioral advertising. In Proceedings of the 19th ACM conference on computer-supported cooperative work & social computing. 539\u2013552."},{"key":"e_1_2_1_68_1","volume-title":"Proceedings of the 2024 Conference on Human Information Interaction and Retrieval. 291\u2013302","author":"Wazzan Albatool","year":"2024","unstructured":"Albatool Wazzan, Stephen MacNeil, and Richard Souvenir. 2024. Comparing traditional and LLM-based search for image geolocation. In Proceedings of the 2024 Conference on Human Information Interaction and Retrieval. 291\u2013302."},{"key":"e_1_2_1_69_1","volume-title":"Denny Zhou, et al.","author":"Wei Jason","year":"2022","unstructured":"Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al. 2022. Chain-of-thought prompting elicits reasoning in large language models. Advances in neural information processing systems 35 (2022), 24824\u201324837."},{"key":"e_1_2_1_70_1","first-page":"2126","article-title":"Privacy-preserving deep action recognition: An adversarial learning framework and a new dataset","volume":"44","author":"Wu Zhenyu","year":"2020","unstructured":"Zhenyu Wu, Haotao Wang, Zhaowen Wang, Hailin Jin, and Zhangyang Wang. 2020. Privacy-preserving deep action recognition: An adversarial learning framework and a new dataset. IEEE Transactions on Pattern Analysis and Machine Intelligence 44, 4 (2020), 2126\u20132139.","journal-title":"IEEE Transactions on Pattern Analysis and Machine Intelligence"},{"key":"e_1_2_1_71_1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1145\/3699731","article-title":"ChatCam: Embracing LLMs for Contextual Chatting-to-Camera with Interest-Oriented Video Summarization","volume":"8","author":"Xiao Kaijie","year":"2024","unstructured":"Kaijie Xiao, Yi Gao, Fu Li, Weifeng Xu, Pengzhi Chen, and Wei Dong. 2024. ChatCam: Embracing LLMs for Contextual Chatting-to-Camera with Interest-Oriented Video Summarization. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, 4 (2024), 1\u201334.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_72_1","first-page":"1","article-title":"DIPA2: An Image Dataset with Cross-cultural Privacy Perception Annotations","volume":"7","author":"Xu Anran","year":"2024","unstructured":"Anran Xu, Zhongyi Zhou, Kakeru Miyazaki, Ryo Yoshikawa, Simo Hosio, and Koji Yatani. 2024. DIPA2: An Image Dataset with Cross-cultural Privacy Perception Annotations. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 7, 4 (2024), 1\u201330.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_73_1","first-page":"928","article-title":"Algorithms And System For Segmentation And Structure Analysis In Soccer Video","volume":"1","author":"Xu Peng","year":"2001","unstructured":"Peng Xu, Lexing Xie, Shih-Fu Chang, Ajay Divakaran, Anthony Vetro, Huifang Sun, et al. 2001. Algorithms And System For Segmentation And Structure Analysis In Soccer Video. In ICME, Vol. 1. 928\u2013931.","journal-title":"ICME"},{"key":"e_1_2_1_74_1","first-page":"1","article-title":"Mental-llm: Leveraging large language models for mental health prediction via online text data","volume":"8","author":"Xu Xuhai","year":"2024","unstructured":"Xuhai Xu, Bingsheng Yao, Yuanzhe Dong, Saadia Gabriel, Hong Yu, James Hendler, Marzyeh Ghassemi, Anind K Dey, and Dakuo Wang. 2024. Mental-llm: Leveraging large language models for mental health prediction via online text data. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 8, 1 (2024), 1\u201332.","journal-title":"Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"},{"key":"e_1_2_1_75_1","doi-asserted-by":"crossref","first-page":"258","DOI":"10.1093\/idpl\/ipy020","article-title":"Five fears about mass predictive personalization in an age of surveillance capitalism","volume":"8","author":"Yeung Karen","year":"2018","unstructured":"Karen Yeung. 2018. Five fears about mass predictive personalization in an age of surveillance capitalism. International Data Privacy Law 8, 3(2018), 258\u2013269.","journal-title":"International Data Privacy Law"},{"key":"e_1_2_1_76_1","first-page":"120735","article-title":"A synthetic dataset for personal attribute inference","volume":"37","author":"Yukhymenko Hanna","year":"2024","unstructured":"Hanna Yukhymenko, Robin Staab, Mark Vero, and Martin Vechev. 2024. A synthetic dataset for personal attribute inference. Advances in Neural Information Processing Systems 37 (2024), 120735\u2013120779.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_2_1_77_1","volume-title":"Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 1\u201319","author":"Zhang Lotus","year":"2024","unstructured":"Lotus Zhang, Abigale Stangl, Tanusree Sharma, Yu-Yun Tseng, Inan Xu, Danna Gurari, Yang Wang, and Leah Findlater. 2024. Designing Accessible Obfuscation Support for Blind Individuals' Visual Privacy Management. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems. 1\u201319."},{"key":"e_1_2_1_78_1","volume-title":"Evaluating the Efficacy of Large Language Models for Generating Fine-Grained Visual Privacy Policies in Homes. arXiv preprint arXiv:2508.00321","author":"Zhang Shuning","year":"2025","unstructured":"Shuning Zhang, Ying Ma, Xin Yi, and Hewu Li. 2025. Evaluating the Efficacy of Large Language Models for Generating Fine-Grained Visual Privacy Policies in Homes. arXiv preprint arXiv:2508.00321 (2025)."},{"key":"e_1_2_1_79_1","unstructured":"Shuning Zhang Lyumanshan Ye Xin Yi Jingyu Tang Bo Shui Haobin Xing Pengfei Liu and Hewu Li. 2024. \u201cGhost of the past\u201d: identifying and resolving privacy leakage from LLM's memory through proactive user interaction. arXiv preprint arXiv:2410.14931 (2024)."},{"key":"e_1_2_1_80_1","volume-title":"Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction. arXiv preprint arXiv:2410.15044","author":"Zhang Shuning","year":"2024","unstructured":"Shuning Zhang, Xin Yi, Haobin Xing, Lyumanshan Ye, Yongquan Hu, and Hewu Li. 2024. Adanonymizer: Interactively Navigating and Balancing the Duality of Privacy and Output Performance in Human-LLM Interaction. arXiv preprint arXiv:2410.15044 (2024)."},{"key":"e_1_2_1_81_1","volume-title":"Through Their Eyes: User Perceptions on Sensitive Attribute Inference of Social Media Videos by Visual Language Models. arXiv preprint arXiv:2508.07658","author":"Zhang Shuning","year":"2025","unstructured":"Shuning Zhang, Gengrui Zhang, Yibo Meng, Ziyi Zhang, Hantao Zhao, Xin Yi, and Hewu Li. 2025. Through Their Eyes: User Perceptions on Sensitive Attribute Inference of Social Media Videos by Visual Language Models. arXiv preprint arXiv:2508.07658 (2025)."},{"key":"e_1_2_1_82_1","volume-title":"Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. 1\u20138.","author":"Zhang Ziyang","year":"2025","unstructured":"Ziyang Zhang, Chong Bao, Xiaokun Pan, Chia-Ming Chang, Takeo Igarashi, and Guofeng Zhang. 2025. Through the Lens of Privacy: Exploring Privacy Protection in Vision-Language Model Interactions on Smart Glasses. In Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. 1\u20138."},{"key":"e_1_2_1_83_1","volume-title":"Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work. 67\u201376","author":"Zhao Chen","year":"2012","unstructured":"Chen Zhao, Pamela Hinds, and Ge Gao. 2012. How and to whom people share: the role of culture in self-disclosure in online communities. In Proceedings of the ACM 2012 Conference on Computer Supported Cooperative Work. 67\u201376."},{"key":"e_1_2_1_84_1","volume-title":"Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. 1\u201328","author":"Zhou Jijie","year":"2025","unstructured":"Jijie Zhou, Eryue Xu, Yaoyao Wu, and Tianshi Li. 2025. Rescriber: Smaller-LLM-Powered User-Led Data Minimization for LLM-Based Chatbots. In Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems. 1\u201328."},{"key":"e_1_2_1_85_1","volume-title":"Proceedings of the 47th international acm sigir conference on research and development in information retrieval. 2749\u20132754","author":"Zhou Zhongliang","year":"2024","unstructured":"Zhongliang Zhou, Jielu Zhang, Zihan Guan, Mengxuan Hu, Ni Lao, Lan Mu, Sheng Li, and Gengchen Mai. 2024. Img2Loc: Revisiting image geolocalization using multi-modality foundation models and image-based retrieval-augmented generation. In Proceedings of the 47th international acm sigir conference on research and development in information retrieval. 2749\u20132754."},{"key":"e_1_2_1_86_1","volume-title":"8th annual arts, humanities, social sciences & education conference. 1\u201322.","author":"Zimmer Franziska","unstructured":"Franziska Zimmer, Katrin Scheibe, Mechtild Stock, and Wolfgang G Stock. 2019. Echo chambers and filter bubbles of fake news in social media. Man-made or produced by algorithms. In 8th annual arts, humanities, social sciences & education conference. 1\u201322."}],"container-title":["Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3810199","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,15]],"date-time":"2026-06-15T17:13:45Z","timestamp":1781543625000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3810199"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,6,15]]},"references-count":86,"journal-issue":{"issue":"2","published-print":{"date-parts":[[2026,6,15]]}},"alternative-id":["10.1145\/3810199"],"URL":"https:\/\/doi.org\/10.1145\/3810199","relation":{},"ISSN":["2474-9567"],"issn-type":[{"value":"2474-9567","type":"electronic"}],"subject":[],"published":{"date-parts":[[2026,6,15]]},"assertion":[{"value":"2026-06-15","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}