{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T06:45:58Z","timestamp":1782369958220,"version":"3.54.5"},"publisher-location":"New York, NY, USA","reference-count":70,"publisher":"ACM","license":[{"start":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T00:00:00Z","timestamp":1776038400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/legalcode"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2026,4,13]]},"DOI":"10.1145\/3772318.3791762","type":"proceedings-article","created":{"date-parts":[[2026,4,13]],"date-time":"2026-04-13T04:12:21Z","timestamp":1776053541000},"page":"1-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":0,"title":["Beyond PII: How Users Attempt to Estimate and Mitigate Implicit LLM Inference"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0009-0004-7420-7052","authenticated-orcid":false,"given":"Synthia","family":"Qia Wang","sequence":"first","affiliation":[{"name":"Computer Science Department, University of Chicago, Chicago, Illinois, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0007-3242-9353","authenticated-orcid":false,"given":"Sai Teja","family":"Peddinti","sequence":"additional","affiliation":[{"name":"Google Inc., Mountain View, California, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0008-8450-9627","authenticated-orcid":false,"given":"Nina","family":"Taft","sequence":"additional","affiliation":[{"name":"Google, Sunnyvale, California, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9315-5201","authenticated-orcid":false,"given":"Nick","family":"Feamster","sequence":"additional","affiliation":[{"name":"Department of Computer Science, University of Chicago, Chicago, Illinois, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2026,4,13]]},"reference":[{"key":"e_1_3_3_3_2_2","unstructured":"Arooj Ahmed. 2025. ChatGPT Usage Statistics: Numbers Behind Its Worldwide Growth and Reach. Digital Information World. https:\/\/www.digitalinformationworld.com\/2025\/05\/chatgpt-stats-in-numbers-growth-usage-and-global-impact.html Last updated August 10 2025; accessed 2025-09-11."},{"key":"e_1_3_3_3_3_2","doi-asserted-by":"crossref","unstructured":"Moatsum Alawida Bayan Abu\u00a0Shawar Oludare\u00a0Isaac Abiodun Abid Mehmood Abiodun\u00a0Esther Omolara and Ahmad\u00a0K Al\u00a0Hwaitat. 2024. Unveiling the dark side of chatgpt: Exploring cyberattacks and enhancing user awareness. Information 15 1 (2024) 27.","DOI":"10.3390\/info15010027"},{"key":"e_1_3_3_3_4_2","doi-asserted-by":"crossref","unstructured":"Shahad Alkamli and Reham Alabduljabbar. 2024. Understanding privacy concerns in ChatGPT: A data-driven approach with LDA topic modeling. Heliyon 10 20 (2024).","DOI":"10.1016\/j.heliyon.2024.e39087"},{"key":"e_1_3_3_3_5_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-78642-7_53"},{"key":"e_1_3_3_3_6_2","doi-asserted-by":"publisher","DOI":"10.1145\/3584931.3606990"},{"key":"e_1_3_3_3_7_2","volume-title":"The ChatGPT Effect: How An A.I. Is Now Being Used To Spy On Social Media And Siphon Information","author":"Brewster Thomas","year":"2023","unstructured":"Thomas Brewster. 2023. The ChatGPT Effect: How An A.I. Is Now Being Used To Spy On Social Media And Siphon Information. Forbes. https:\/\/www.forbes.com\/sites\/thomasbrewster\/2023\/11\/16\/chatgpt-becomes-a-social-media-spy-assistant\/ Accessed: [Current Date, e.g., Aug. 26, 2025]."},{"key":"e_1_3_3_3_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/SP46214.2022.9833649"},{"key":"e_1_3_3_3_9_2","unstructured":"Nicholas Carlini Daphne Ippolito Matthew Jagielski Katherine Lee Florian Tramer and Chiyuan Zhang. 2023. Quantifying Memorization Across Neural Language Models. arxiv:https:\/\/arXiv.org\/abs\/2202.07646\u00a0[cs.LG] https:\/\/arxiv.org\/abs\/2202.07646"},{"key":"e_1_3_3_3_10_2","first-page":"2633","volume-title":"30th USENIX security symposium (USENIX Security 21)","author":"Carlini Nicholas","year":"2021","unstructured":"Nicholas Carlini, Florian Tramer, Eric Wallace, Matthew Jagielski, Ariel Herbert-Voss, Katherine Lee, Adam Roberts, Tom Brown, Dawn Song, Ulfar Erlingsson, et\u00a0al. 2021. Extracting training data from large language models. In 30th USENIX security symposium (USENIX Security 21). 2633\u20132650."},{"key":"e_1_3_3_3_11_2","first-page":"305","volume-title":"International conference on human-computer interaction","author":"Chalhoub George","year":"2020","unstructured":"George Chalhoub and Ivan Flechais. 2020. \u201cAlexa, are you spying on me?\u201d: Exploring the Effect of User Experience on the Security and Privacy of Smart Speaker Users. In International conference on human-computer interaction. Springer, 305\u2013325."},{"key":"e_1_3_3_3_12_2","doi-asserted-by":"publisher","DOI":"10.1109\/PST58708.2023.10320174"},{"key":"e_1_3_3_3_13_2","doi-asserted-by":"publisher","DOI":"10.1145\/3708359.3712156"},{"key":"e_1_3_3_3_14_2","doi-asserted-by":"publisher","DOI":"10.1145\/3733816.3760759"},{"key":"e_1_3_3_3_15_2","doi-asserted-by":"crossref","unstructured":"Yubin Choi Assem Zhunis Wenchao Dong Joseph Seering Sangchul Park Meeyoung Cha and Hyojin Chin. 2025. Privacy disclosure to large language models: A large-scale study on awareness benefits and concerns in health contexts across three countries. Computers in Human Behavior Reports 20 (2025) 100841.","DOI":"10.1016\/j.chbr.2025.100841"},{"key":"e_1_3_3_3_16_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613905.3650818"},{"key":"e_1_3_3_3_17_2","doi-asserted-by":"crossref","unstructured":"Evan\u00a0N Crothers Nathalie Japkowicz and Herna\u00a0L Viktor. 2023. Machine-generated text: A comprehensive survey of threat models and detection methods. IEEE Access 11 (2023) 70977\u201371002.","DOI":"10.1109\/ACCESS.2023.3294090"},{"key":"e_1_3_3_3_18_2","doi-asserted-by":"crossref","unstructured":"Badhan\u00a0Chandra Das M\u00a0Hadi Amini and Yanzhao Wu. 2025. Security and privacy challenges of large language models: A survey. Comput. Surveys 57 6 (2025) 1\u201339.","DOI":"10.1145\/3712001"},{"key":"e_1_3_3_3_19_2","unstructured":"Department for Science Innovation and Technology and Feryal Clark MP. 2024. Public attitudes to data and AI: Tracker survey (Wave 4) report. https:\/\/www.gov.uk\/government\/publications\/public-attitudes-to-data-and-ai-tracker-survey-wave-4\/public-attitudes-to-data-and-ai-tracker-survey-wave-4-report Accessed: [Current Date e.g. Aug. 26 2025]."},{"key":"e_1_3_3_3_20_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2024.acl-long.741"},{"key":"e_1_3_3_3_21_2","first-page":"272","volume-title":"Proceedings of the 10th conference of the Pacific Association for computational linguistics","volume":"263","author":"Estival Dominique","year":"2007","unstructured":"Dominique Estival, Tanja Gaustad, Son\u00a0Bao Pham, Will Radford, and Ben Hutchinson. 2007. Author profiling for English emails. In Proceedings of the 10th conference of the Pacific Association for computational linguistics , Vol.\u00a0263. 272."},{"key":"e_1_3_3_3_22_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.findings-emnlp.148"},{"key":"e_1_3_3_3_23_2","unstructured":"Huseyin\u00a0A Inan Osman Ramadan Lukas Wutschitz Daniel Jones Victor R\u00fchle James Withers and Robert Sim. 2021. Training data leakage analysis in language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2101.05405 (2021)."},{"key":"e_1_3_3_3_24_2","first-page":"34","volume-title":"International workshop on chatbot research and design","author":"Ischen Carolin","year":"2019","unstructured":"Carolin Ischen, Theo Araujo, Hilde Voorveld, Guda Van\u00a0Noort, and Edith Smit. 2019. Privacy concerns in chatbot interactions. In International workshop on chatbot research and design. Springer, 34\u201348."},{"key":"e_1_3_3_3_25_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642420"},{"key":"e_1_3_3_3_26_2","doi-asserted-by":"publisher","DOI":"10.52202\/075280-0911"},{"key":"e_1_3_3_3_27_2","first-page":"184","volume-title":"International Symposium on Human Aspects of Information Security and Assurance","author":"Kimbel Angelika","year":"2024","unstructured":"Angelika Kimbel, Magdalena Glas, and G\u00fcnther Pernul. 2024. Security and Privacy Perspectives on Using ChatGPT at the Workplace: An Interview Study. In International Symposium on Human Aspects of Information Security and Assurance. Springer, 184\u2013197."},{"key":"e_1_3_3_3_28_2","doi-asserted-by":"publisher","unstructured":"Michal Kosinski David Stillwell and Thore Graepel. 2013. Private traits and attributes are predictable from digital records of human behavior. Proceedings of the National Academy of Sciences 110 15 (2013) 5802\u20135805. arXiv:https:\/\/www.pnas.org\/doi\/pdf\/10.1073\/pnas.121877211010.1073\/pnas.1218772110","DOI":"10.1073\/pnas.1218772110"},{"key":"e_1_3_3_3_29_2","unstructured":"Jabari Kwesi Jiaxun Cao Riya Manchanda and Pardis Emami-Naeini. 2025. Exploring User Security and Privacy Attitudes and Concerns Toward the Use of General-Purpose LLM Chatbots for Mental Health. arxiv:https:\/\/arXiv.org\/abs\/2507.10695\u00a0[cs.CY] https:\/\/arxiv.org\/abs\/2507.10695"},{"key":"e_1_3_3_3_30_2","doi-asserted-by":"crossref","unstructured":"Jooyoung Lee Sarah Rajtmajer Eesha Srivatsavaya and Shomir Wilson. 2021. Digital inequality through the lens of self-disclosure. Proceedings on Privacy Enhancing Technologies (2021).","DOI":"10.2478\/popets-2021-0052"},{"key":"e_1_3_3_3_31_2","doi-asserted-by":"publisher","DOI":"10.1145\/3617072.3617106"},{"key":"e_1_3_3_3_32_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.findings-emnlp.272"},{"key":"e_1_3_3_3_33_2","doi-asserted-by":"publisher","unstructured":"Qinbin Li Junyuan Hong Chulin Xie Jeffrey Tan Rachel Xin Junyi Hou Xavier Yin Zhun Wang Dan Hendrycks Zhangyang Wang Bo Li Bingsheng He and Dawn Song. 2024. LLM-PBE: Assessing Data Privacy in Large Language Models. Proc. VLDB Endow. 17 11 (July 2024) 3201\u20133214. 10.14778\/3681954.3681994","DOI":"10.14778\/3681954.3681994"},{"key":"e_1_3_3_3_34_2","unstructured":"Tianshi Li Sauvik Das Hao-Ping Lee Dakuo Wang Bingsheng Yao and Zhiping Zhang. 2024. Human-Centered Privacy Research in the Age of Large Language Models. arxiv:https:\/\/arXiv.org\/abs\/2402.01994\u00a0[cs.HC] https:\/\/arxiv.org\/abs\/2402.01994"},{"key":"e_1_3_3_3_35_2","doi-asserted-by":"publisher","unstructured":"Xiao\u2010Bai Li Xiaoping Liu and Luvai Motiwalla. 2020. Valuing Personal Data with Privacy Consideration. Decision Sciences 52 (05 2020). 10.1111\/deci.12442","DOI":"10.1111\/deci.12442"},{"key":"e_1_3_3_3_36_2","unstructured":"Yi Liu Gelei Deng Zhengzi Xu Yuekang Li Yaowen Zheng Ying Zhang Lida Zhao Tianwei Zhang Kailong Wang and Yang Liu. 2023. Jailbreaking chatgpt via prompt engineering: An empirical study. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2305.13860 (2023)."},{"key":"e_1_3_3_3_37_2","doi-asserted-by":"publisher","DOI":"10.1109\/SP61157.2025.00092"},{"key":"e_1_3_3_3_38_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642840"},{"key":"e_1_3_3_3_39_2","doi-asserted-by":"publisher","DOI":"10.1109\/SP46215.2023.10179300"},{"key":"e_1_3_3_3_40_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713540"},{"key":"e_1_3_3_3_41_2","volume-title":"Proceedings on Privacy Enhancing Technologies","author":"Malki Lisa\u00a0Mekioussa","year":"2025","unstructured":"Lisa\u00a0Mekioussa Malki et\u00a0al. 2025. \u201cHoovered up as a data point\u201d: Exploring Privacy Behaviours, Awareness, and Concerns Among UK Users of LLM-based Conversational Agents. In Proceedings on Privacy Enhancing Technologies. ACM."},{"key":"e_1_3_3_3_42_2","doi-asserted-by":"publisher","unstructured":"R.\u00a0Thomas McCoy Paul Smolensky Tal Linzen Jianfeng Gao and Asli Celikyilmaz. 2023. How Much Do Language Models Copy From Their Training Data? Evaluating Linguistic Novelty in Text Generation Using RAVEN. Transactions of the Association for Computational Linguistics 11 (2023) 652\u2013670. 10.1162\/tacl_a_00567","DOI":"10.1162\/tacl_a_00567"},{"key":"e_1_3_3_3_43_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642542"},{"key":"e_1_3_3_3_44_2","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2022.emnlp-main.570"},{"key":"e_1_3_3_3_45_2","unstructured":"Niloofar Mireshghallah Maria Antoniak Yash More Yejin Choi and Golnoosh Farnadi. 2024. Trust no bot: Discovering personal disclosures in human-llm conversations in the wild. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.11438 (2024)."},{"key":"e_1_3_3_3_46_2","unstructured":"Yuta Nakamura Shouhei Hanaoka Yukihiro Nomura Naoto Hayashi Osamu Abe Shuntaro Yada Shoko Wakamiya and Eiji Aramaki. 2020. Kart: Privacy leakage framework of language models pre-trained with clinical records. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2101.00036 (2020)."},{"key":"e_1_3_3_3_47_2","doi-asserted-by":"crossref","unstructured":"Krishna\u00a0Kanth Nakka Ahmed Frikha Ricardo Mendes Xue Jiang and Xuebing Zhou. 2024. PII-Compass: Guiding LLM training data extraction prompts towards the target PII via grounding. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2407.02943 (2024).","DOI":"10.18653\/v1\/2024.privatenlp-1.7"},{"key":"e_1_3_3_3_48_2","unstructured":"Helen Nissenbaum. 2004. Privacy as contextual integrity. Wash. L. Rev. 79 (2004) 119."},{"key":"e_1_3_3_3_49_2","doi-asserted-by":"crossref","unstructured":"Rahil Parikh Christophe Dupuy and Rahul Gupta. 2022. Canary extraction in natural language understanding models. (2022). https:\/\/www.amazon.science\/publications\/canary-extraction-in-natural-language-understanding-models","DOI":"10.18653\/v1\/2022.acl-short.61"},{"key":"e_1_3_3_3_50_2","unstructured":"F\u00e1bio Perez and Ian Ribeiro. 2022. Ignore previous prompt: Attack techniques for language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2211.09527 (2022)."},{"key":"e_1_3_3_3_51_2","doi-asserted-by":"crossref","unstructured":"Sandra Peter Kai Riemer and Jevin\u00a0D West. 2025. The benefits and dangers of anthropomorphic conversational agents. Proceedings of the National Academy of Sciences 122 22 (2025) e2415898122.","DOI":"10.1073\/pnas.2415898122"},{"key":"e_1_3_3_3_52_2","doi-asserted-by":"publisher","DOI":"10.1145\/3411764.3445625"},{"key":"e_1_3_3_3_53_2","doi-asserted-by":"crossref","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.","DOI":"10.52202\/079017-2837"},{"key":"e_1_3_3_3_54_2","doi-asserted-by":"crossref","unstructured":"Hongjin Shim Jaeho Cho and Yoon\u00a0Hi Sung. 2024. Unveiling secrets to AI agents: Exploring the interplay of conversation type self-disclosure and privacy insensitivity. Asian Communication Research 21 2 (2024) 195\u2013216.","DOI":"10.20879\/acr.2024.21.019"},{"key":"e_1_3_3_3_55_2","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.41"},{"key":"e_1_3_3_3_56_2","volume-title":"The Twelfth International Conference on Learning Representations","author":"Staab Robin","year":"2024","unstructured":"Robin Staab, Mark Vero, Mislav Balunovic, and Martin Vechev. 2024. Beyond Memorization: Violating Privacy via Inference with Large Language Models. In The Twelfth International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=kmn0BhQk7p"},{"key":"e_1_3_3_3_57_2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-35894-4_13"},{"key":"e_1_3_3_3_58_2","first-page":"93","volume-title":"Twenty-First Symposium on Usable Privacy and Security (SOUPS 2025)","author":"Tolsdorf Jan","year":"2025","unstructured":"Jan Tolsdorf, Alan\u00a0F Luo, Monica Kodwani, Junho Eum, Mahmood Sharif, Michelle\u00a0L Mazurek, and Adam\u00a0J Aviv. 2025. Safety Perceptions of Generative { AI} Conversational Agents: Uncovering Perceptual Differences in Trust, Risk, and Fairness. In Twenty-First Symposium on Usable Privacy and Security (SOUPS 2025). 93\u2013112."},{"key":"e_1_3_3_3_59_2","doi-asserted-by":"crossref","unstructured":"Batuhan T\u00f6mek\u00e7e Mark Vero Robin Staab and Martin Vechev. 2024. Private attribute inference from images with vision-language models. Advances in Neural Information Processing Systems 37 (2024) 103619\u2013103651.","DOI":"10.52202\/079017-3291"},{"key":"e_1_3_3_3_60_2","unstructured":"Laura Weidinger John Mellor Maribeth Rauh Conor Griffin Jonathan Uesato Po-Sen Huang Myra Cheng Mia Glaese Borja Balle Atoosa Kasirzadeh et\u00a0al. 2021. Ethical and social risks of harm from language models. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2112.04359 (2021)."},{"key":"e_1_3_3_3_61_2","doi-asserted-by":"publisher","DOI":"10.1145\/3491102.3517688"},{"key":"e_1_3_3_3_62_2","doi-asserted-by":"publisher","unstructured":"Justin Woodring Katherine Perez and Aisha Ali-Gombe. 2024. Enhancing privacy policy comprehension through Privacify: A user-centric approach using advanced language models. Computers & Security 145 (2024) 103997. 10.1016\/j.cose.2024.103997","DOI":"10.1016\/j.cose.2024.103997"},{"key":"e_1_3_3_3_63_2","series-title":"(NIPS \u201924)","volume-title":"Proceedings of the 38th International Conference on Neural Information Processing Systems","author":"Yukhymenko Hanna","year":"2025","unstructured":"Hanna Yukhymenko, Robin Staab, Mark Vero, and Martin Vechev. 2025. A synthetic dataset for personal attribute inference. In Proceedings of the 38th International Conference on Neural Information Processing Systems (Vancouver, BC, Canada) (NIPS \u201924). Curran Associates Inc., Red Hook, NY, USA, Article 3837, 45\u00a0pages."},{"key":"e_1_3_3_3_64_2","doi-asserted-by":"publisher","DOI":"10.1145\/3372297.3417880"},{"key":"e_1_3_3_3_65_2","unstructured":"Xiao Zhan Juan\u00a0Carlos Carrillo William Seymour and Jose Such. 2025. Malicious LLM-Based Conversational AI Makes Users Reveal Personal Information. arXiv preprint arXiv:https:\/\/arXiv.org\/abs\/2506.11680 (2025)."},{"key":"e_1_3_3_3_66_2","doi-asserted-by":"publisher","DOI":"10.1145\/3733816.3760750"},{"key":"e_1_3_3_3_67_2","doi-asserted-by":"publisher","DOI":"10.1145\/3733816.3760751"},{"key":"e_1_3_3_3_68_2","unstructured":"Tianyi Zhang Varsha Kishore Felix Wu Kilian\u00a0Q. Weinberger and Yoav Artzi. 2020. BERTScore: Evaluating Text Generation with BERT. arxiv:https:\/\/arXiv.org\/abs\/1904.09675\u00a0[cs.CL] https:\/\/arxiv.org\/abs\/1904.09675"},{"key":"e_1_3_3_3_69_2","doi-asserted-by":"publisher","DOI":"10.1145\/3613904.3642385"},{"key":"e_1_3_3_3_70_2","doi-asserted-by":"publisher","DOI":"10.1145\/3706598.3713701"},{"key":"e_1_3_3_3_71_2","doi-asserted-by":"crossref","unstructured":"No\u00e9 Zufferey Sarah Abdelwahab\u00a0Gaballah Karola Marky and Verena Zimmermann. 2025. \u201cAI is from the devil.\u201d Behaviors and Concerns Toward Personal Data Sharing with LLM-based Conversational Agents. Proceedings on Privacy Enhancing Technologies 2025 3 (2025) 5\u201328.","DOI":"10.56553\/popets-2025-0086"}],"event":{"name":"CHI 2026: CHI Conference on Human Factors in Computing Systems","location":"Barcelona Spain","acronym":"CHI '26","sponsor":["SIGCHI ACM Special Interest Group on Computer-Human Interaction"]},"container-title":["Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3772318.3791762","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,6,25]],"date-time":"2026-06-25T05:46:58Z","timestamp":1782366418000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3772318.3791762"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,4,13]]},"references-count":70,"alternative-id":["10.1145\/3772318.3791762","10.1145\/3772318"],"URL":"https:\/\/doi.org\/10.1145\/3772318.3791762","relation":{},"subject":[],"published":{"date-parts":[[2026,4,13]]},"assertion":[{"value":"2026-04-13","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}