{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,2,1]],"date-time":"2026-02-01T03:21:25Z","timestamp":1769916085507,"version":"3.49.0"},"publisher-location":"New York, NY, USA","reference-count":56,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,7,1]],"date-time":"2024-07-01T00:00:00Z","timestamp":1719792000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,7]]},"DOI":"10.1145\/3634737.3657019","type":"proceedings-article","created":{"date-parts":[[2024,6,28]],"date-time":"2024-06-28T11:51:38Z","timestamp":1719575498000},"page":"1261-1271","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["VLIA: Navigating Shadows with Proximity for Highly Accurate Visited Location Inference Attack against Federated Recommendation Models"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6871-3304","authenticated-orcid":false,"given":"Thirasara","family":"Ariyarathna","sequence":"first","affiliation":[{"name":"University of New South Wales, Kensington, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0619-6361","authenticated-orcid":false,"given":"Meisam","family":"Mohammady","sequence":"additional","affiliation":[{"name":"Iowa State University of Science and Technology, Ames, USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4425-7388","authenticated-orcid":false,"given":"Hye-Young (Helen)","family":"Paik","sequence":"additional","affiliation":[{"name":"University of New South Wales, Kensington, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1835-3475","authenticated-orcid":false,"given":"Salil S","family":"Kanhere","sequence":"additional","affiliation":[{"name":"University of New South Wales, Kensington, Australia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2024,7]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978318"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2008.4497446"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/2505395.2505398"},{"key":"e_1_3_2_1_4_1","volume-title":"Location-based advertising on mobile devices: A literature review and analysis. Management review quarterly 66, 3","author":"Bauer Christine","year":"2016","unstructured":"Christine Bauer and Christine Strauss. 2016. Location-based advertising on mobile devices: A literature review and analysis. Management review quarterly 66, 3 (2016), 159--194."},{"key":"e_1_3_2_1_5_1","volume-title":"Cheng Soon Ong, and Lexing Xie","author":"Chen Dawei","year":"2016","unstructured":"Dawei Chen, Cheng Soon Ong, and Lexing Xie. 2016. Learning Points and Routes to Recommend Trajectories. CoRR abs\/1608.07051 (2016). arXiv:1608.07051 http:\/\/arxiv.org\/abs\/1608.07051"},{"key":"e_1_3_2_1_6_1","volume-title":"Differentially private trajectory data publication. arXiv preprint arXiv:1112.2020","author":"Chen Rui","year":"2011","unstructured":"Rui Chen, Benjamin Fung, and Bipin C Desai. 2011. Differentially private trajectory data publication. arXiv preprint arXiv:1112.2020 (2011)."},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.jnca.2020.102736"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2011.5767890"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1080\/17538947.2017.1326535"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1145\/3308560.3316535"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2015.7113313"},{"key":"e_1_3_2_1_12_1","volume-title":"Unique in the crowd: The privacy bounds of human mobility. Scientific reports 3, 1","author":"De Montjoye Yves-Alexandre","year":"2013","unstructured":"Yves-Alexandre De Montjoye, C\u00e9sar A Hidalgo, Michel Verleysen, and Vincent D Blondel. 2013. Unique in the crowd: The privacy bounds of human mobility. Scientific reports 3, 1 (2013), 1--5."},{"key":"e_1_3_2_1_13_1","volume-title":"Pareto Paths with SHARC","author":"Delling Daniel","unstructured":"Daniel Delling and Dorothea Wagner. 2009. Pareto Paths with SHARC. In Experimental Algorithms, Jan Vahrenhold (Ed.). Springer Berlin Heidelberg, Berlin, Heidelberg, 125--136."},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.1145\/2591796.2591883"},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2012.2190726"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.1145\/2660267.2660270"},{"key":"e_1_3_2_1_17_1","first-page":"16937","article-title":"Inverting gradients-how easy is it to break privacy in federated learning","volume":"33","author":"Geiping Jonas","year":"2020","unstructured":"Jonas Geiping, Hartmut Bauermeister, Hannah Dr\u00f6ge, and Michael Moeller. 2020. Inverting gradients-how easy is it to break privacy in federated learning? Advances in Neural Information Processing Systems 33 (2020), 16937--16947.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_18_1","unstructured":"Google. 2023. Google Maps. https:\/\/www.google.com\/maps\/"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.1109\/TSSC.1968.300136"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.1145\/3560486"},{"key":"e_1_3_2_1_21_1","unstructured":"Baidu Inc. 2023. Baidu Maps. https:\/\/map.baidu.com\/"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDE.2006.71"},{"key":"e_1_3_2_1_23_1","volume-title":"AAAI","volume":"2","author":"Letchner Julia","year":"2006","unstructured":"Julia Letchner, John Krumm, and Eric Horvitz. 2006. Trip Router with Individualized Preferences (TRIP): Incorporating Personalization into Route Planning.. In AAAI, Vol. 2."},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.1145\/3292500.3330660"},{"key":"e_1_3_2_1_25_1","doi-asserted-by":"publisher","DOI":"10.1109\/ICDMW.2011.149"},{"key":"e_1_3_2_1_26_1","volume-title":"Threats to federated learning: A survey. arXiv preprint arXiv:2003.02133","author":"Lyu Lingjuan","year":"2020","unstructured":"Lingjuan Lyu, Han Yu, and Qiang Yang. 2020. Threats to federated learning: A survey. arXiv preprint arXiv:2003.02133 (2020)."},{"key":"e_1_3_2_1_27_1","unstructured":"H. Brendan McMahan Eider Moore Daniel Ramage Seth Hampson and Blaise Ag\u00fcera y Arcas. 2017. Communication-Efficient Learning of Deep Networks from Decentralized Data. arXiv:1602.05629 [cs.LG]"},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00029"},{"key":"e_1_3_2_1_29_1","doi-asserted-by":"crossref","unstructured":"Xuying Meng Suhang Wang Kai Shu Jundong Li Bo Chen Huan Liu and Yujun Zhang. 2018. Personalized Privacy-Preserving Social Recommendation. In AAAI. 3796--3803. https:\/\/www.aaai.org\/ocs\/index.php\/AAAI\/AAAI18\/paper\/view\/16768","DOI":"10.1609\/aaai.v32i1.11714"},{"key":"e_1_3_2_1_30_1","unstructured":"Waze Mobile. 2023. Waze. https:\/\/www.waze.com\/"},{"key":"e_1_3_2_1_31_1","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2013.2262376"},{"key":"e_1_3_2_1_32_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.future.2020.10.007"},{"key":"e_1_3_2_1_33_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2008.33"},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2019.00065"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2022.108441"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eswa.2016.11.018"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/COMST.2018.2873950"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"publisher","DOI":"10.14722\/diss.2020.23004"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D16-1264"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2011.18"},{"key":"e_1_3_2_1_41_1","volume-title":"A Survey on Federated Recommendation Systems. arXiv preprint arXiv:2301.00767","author":"Sun Zehua","year":"2022","unstructured":"Zehua Sun, Yonghui Xu, Yong Liu, Wei He, Yali Jiang, Fangzhao Wu, and Lizhen Cui. 2022. A Survey on Federated Recommendation Systems. arXiv preprint arXiv:2301.00767 (2022)."},{"key":"e_1_3_2_1_42_1","volume-title":"Subject membership inference attacks in federated learning. arXiv preprint arXiv:2206.03317","author":"Suri Anshuman","year":"2022","unstructured":"Anshuman Suri, Pallika Kanani, Virendra J Marathe, and Daniel W Peterson. 2022. Subject membership inference attacks in federated learning. arXiv preprint arXiv:2206.03317 (2022)."},{"key":"e_1_3_2_1_43_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.eng.2018.02.005"},{"key":"e_1_3_2_1_44_1","volume-title":"Fanzhang Peng, and Xin Lin.","author":"Wang Jingyuan","year":"2019","unstructured":"Jingyuan Wang, Ning Wu, Wayne Xin Zhao, Fanzhang Peng, and Xin Lin. 2019. Empowering A* Search Algorithms with Neural Networks for Personalized Route Recommendation. CoRR abs\/1907.08489 (2019). arXiv:1907.08489 http:\/\/arxiv.org\/abs\/1907.08489"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2021.3068479"},{"key":"e_1_3_2_1_46_1","volume-title":"Fedgnn: Federated graph neural network for privacy-preserving recommendation. arXiv preprint arXiv:2102.04925","author":"Wu Chuhan","year":"2021","unstructured":"Chuhan Wu, Fangzhao Wu, Yang Cao, Yongfeng Huang, and Xing Xie. 2021. Fedgnn: Federated graph neural network for privacy-preserving recommendation. arXiv preprint arXiv:2102.04925 (2021)."},{"key":"e_1_3_2_1_47_1","volume-title":"John M Carroll, and Mary Beth Rosson.","author":"Xu Heng","year":"2011","unstructured":"Heng Xu, Xin Robert Luo, John M Carroll, and Mary Beth Rosson. 2011. The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision support systems 51, 1 (2011), 42--52."},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"publisher","DOI":"10.1080\/13658816.2017.1400548"},{"key":"e_1_3_2_1_49_1","volume-title":"Privacy risk in machine learning: Analyzing the connection to overfitting. In 2018 IEEE 31st computer security foundations symposium (CSF)","author":"Yeom Samuel","unstructured":"Samuel Yeom, Irene Giacomelli, Matt Fredrikson, and Somesh Jha. 2018. Privacy risk in machine learning: Analyzing the connection to overfitting. In 2018 IEEE 31st computer security foundations symposium (CSF). IEEE, 268--282."},{"key":"e_1_3_2_1_50_1","volume-title":"Privacy risk in machine learning: Analyzing the connection to overfitting. In 2018 IEEE 31st computer security foundations symposium (CSF)","author":"Yeom Samuel","unstructured":"Samuel Yeom, Irene Giacomelli, Matt Fredrikson, and Somesh Jha. 2018. Privacy risk in machine learning: Analyzing the connection to overfitting. In 2018 IEEE 31st computer security foundations symposium (CSF). IEEE, 268--282."},{"key":"e_1_3_2_1_51_1","volume-title":"Lizhen Cui, Tieke He, and Hongzhi Yin.","author":"Yuan Wei","year":"2023","unstructured":"Wei Yuan, Chaoqun Yang, Quoc Viet Hung Nguyen, Lizhen Cui, Tieke He, and Hongzhi Yin. 2023. Interaction-level membership inference attack against federated recommender systems. arXiv preprint arXiv:2301.10964 (2023)."},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"publisher","DOI":"10.1109\/TKDE.2023.3295601"},{"key":"e_1_3_2_1_53_1","volume-title":"Konda Reddy Mopuri, and Hakan Bilen","author":"Zhao Bo","year":"2020","unstructured":"Bo Zhao, Konda Reddy Mopuri, and Hakan Bilen. 2020. idlg: Improved deep leakage from gradients. arXiv preprint arXiv:2001.02610 (2020)."},{"key":"e_1_3_2_1_54_1","volume-title":"A survey of point-of-interest recommendation in location-based social networks. arXiv preprint arXiv:1607.00647","author":"Zhao Shenglin","year":"2016","unstructured":"Shenglin Zhao, Irwin King, and Michael R Lyu. 2016. A survey of point-of-interest recommendation in location-based social networks. arXiv preprint arXiv:1607.00647 (2016)."},{"key":"e_1_3_2_1_55_1","unstructured":"Yu Zheng and Hao Fu. 2011. Geolife GPS trajectory dataset - User Guide."},{"key":"e_1_3_2_1_56_1","volume-title":"Deep leakage from gradients. Advances in neural information processing systems 32","author":"Zhu Ligeng","year":"2019","unstructured":"Ligeng Zhu, Zhijian Liu, and Song Han. 2019. Deep leakage from gradients. Advances in neural information processing systems 32 (2019)."}],"event":{"name":"ASIA CCS '24: 19th ACM Asia Conference on Computer and Communications Security","location":"Singapore Singapore","acronym":"ASIA CCS '24","sponsor":["SIGSAC ACM Special Interest Group on Security, Audit, and Control"]},"container-title":["Proceedings of the 19th ACM Asia Conference on Computer and Communications Security"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3634737.3657019","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T23:44:07Z","timestamp":1750290247000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3634737.3657019"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,7]]},"references-count":56,"alternative-id":["10.1145\/3634737.3657019","10.1145\/3634737"],"URL":"https:\/\/doi.org\/10.1145\/3634737.3657019","relation":{},"subject":[],"published":{"date-parts":[[2024,7]]},"assertion":[{"value":"2024-07-01","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}