Trajectory Recovery From Ash: User Privacy Is NOT Preserved in Aggregated Mobility Data

21 February 2017

Yong Li

Depeng Jin

Papers citing "Trajectory Recovery From Ash: User Privacy Is NOT Preserved in Aggregated Mobility Data"

39 / 39 papers shown

Title
Investigating Vulnerabilities of GPS Trip Data to Trajectory-User Linking Attacks Benedikt Ströbl Alexandra Kapp 59 0 0 12 Feb 2025
Expanding Perspectives on Data Privacy: Insights from Rural Togo Zoe Kahn Meyebinesso Farida Carelle Pere Emily L. Aiken Nitin Kohli J. Blumenstock 16 1 0 26 Sep 2024
Demystifying Trajectory Recovery From Ash: An Open-Source Evaluation and Enhancement Nicholas D'Silva Toran Shahi Øyvind Timian Dokk Husveg Adith Sanjeeve Erik Buchholz S. Kanhere 23 0 0 23 Sep 2024
Protecting Vehicle Location Privacy with Contextually-Driven Synthetic Location Generation Sourabh Yadav Chenyang Yu Xinpeng Xie Yan Huang Chenxi Qiu AAML 21 0 0 14 Sep 2024
Generative Models for Synthetic Urban Mobility Data: A Systematic Literature Review Alexandra Kapp J. Hansmeyer Helena Mihaljević 39 15 0 12 Jul 2024
Collection, usage and privacy of mobility data in the enterprise and public administrations Alexandra Kapp 19 4 0 04 Jul 2024
Towards more accurate and useful data anonymity vulnerability measures Paul Francis David Wagner 31 1 0 11 Mar 2024
Chain-of-Planned-Behaviour Workflow Elicits Few-Shot Mobility Generation in LLMs Chenyang Shao Fengli Xu Bingbing Fan Jingtao Ding Yuan Yuan Meng Wang Yong Li LRM 13 6 0 15 Feb 2024
On the Privacy of Selection Mechanisms with Gaussian Noise Jonathan Lebensold Doina Precup Borja Balle 21 0 0 09 Feb 2024
An Algorithm for Streaming Differentially Private Data Girish Kumar Thomas Strohmer Roman Vershynin 42 2 0 26 Jan 2024
A Critical Perceptual Pre-trained Model for Complex Trajectory Recovery Dedong Li Ziyue Li Zhishuai Li Lei Bai Qingyuan Gong Lijun Sun Wolf Ketter Rui Zhao 32 5 0 05 Nov 2023
Privacy Preserving Large Language Models: ChatGPT Case Study Based Vision and Framework Imdad Ullah Najm Hassan S. Gill Basem Suleiman T. Ahanger Zawar Shah Junaid Qadir S. Kanhere 35 16 0 19 Oct 2023
CATS: Conditional Adversarial Trajectory Synthesis for Privacy-Preserving Trajectory Data Publication Using Deep Learning Approaches Jinmeng Rao Song Gao Sijia Zhu 22 19 0 20 Sep 2023
Publishing Wikipedia usage data with strong privacy guarantees Temilola Adeleye Skye Berghel Damien Desfontaines Michael Hay Isaac Johnson ... Thomas Magerlein G. Modena David Pujol Daniel Simmons-Marengo H. Triedman 23 7 0 30 Aug 2023
Privacy Guarantees for Personal Mobility Data in Humanitarian Response Nitin Kohli Emily L. Aiken J. Blumenstock 22 7 0 15 Jun 2023
Digital Privacy Under Attack: Challenges and Enablers Baobao Song Mengyue Deng Shiva Raj Pokhrel Qiujun Lan R. Doss Gang Li AAML 26 3 0 18 Feb 2023
Membership Inference Attacks Against Latent Factor Model Dazhi Hu AAML 17 1 0 15 Dec 2022
Towards Standardized Mobility Reports with User-Level Privacy Alexandra Kapp Saskia Nuñez von Voigt Helena Mihaljević Florian Tschorsch 34 2 0 19 Sep 2022
Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions Chulin Xie Zhong Cao Yunhui Long Diange Yang Ding Zhao Bo-wen Li 11 4 0 08 Sep 2022
Differentially Private Multivariate Time Series Forecasting of Aggregated Human Mobility With Deep Learning: Input or Gradient Perturbation? Héber H. Arcolezi Jean-François Couchot Denis Renaud Bechara al Bouna X. Xiao AI4TS 23 5 0 01 May 2022
Differential Privacy in Aggregated Mobility Networks: Balancing Privacy and Utility Ammar Haydari Chen-Nee Chuah Michael Zhang Jane Macfarlane S. Peisert 6 2 0 10 Dec 2021
Utility-Optimized Synthesis of Differentially Private Location Traces Mehmet Emre Gursoy Vivekanand Rajasekar Ling Liu 10 11 0 14 Sep 2020
In Search of Lost Utility: Private Location Data Szilvia Lestyán G. Ács Gergely Biczók 14 9 0 04 Aug 2020
LSTM-TrajGAN: A Deep Learning Approach to Trajectory Privacy Protection Jinmeng Rao Song Gao Yuhao Kang Qunying Huang 11 104 0 14 Jun 2020
Privately Connecting Mobility to Infectious Diseases via Applied Cryptography A. Bampoulidis A. Bruni Lukas Helminger Daniel Kales Christian Rechberger Roman Walch 16 19 0 05 May 2020
Nowhere to Hide: Cross-modal Identity Leakage between Biometrics and Devices Chris Xiaoxuan Lu Yang Li Yuanbo Xiangli Zhengxiong Li 18 2 0 21 Jan 2020
Differentially Private Aggregated Mobility Data Publication Using Moving Characteristics Zhili Chen Xiaoli Kan Shun Zhang Lin Chen Yan Xu Hong Zhong 6 22 0 10 Aug 2019
Protecting Spatiotemporal Event Privacy in Continuous Location-Based Services Yang Cao Yonghui Xiao Li Xiong Liquan Bai Masatoshi Yoshikawa 18 33 0 25 Jul 2019
A Differentially Private Algorithm for Range Queries on Trajectories Soheila Ghane Lars Kulik Kotagiri Ramamoharao 6 3 0 18 Jul 2019
Privacy in trajectory micro-data publishing : a survey M. Fiore Panagiota Katsikouli Elli Zavou M. Cunche F. Fessant Dominique Le Hello Ulrich Aivodji Baptiste Olivier Tony Quertier Razvan Stanica 28 58 0 26 Mar 2019
Privacy Preserving Location Data Publishing: A Machine Learning Approach Sina shaham Ming Ding Bo Liu Shuping Dang Zihuai Lin Jun Li 21 58 0 24 Feb 2019
Measuring Membership Privacy on Aggregate Location Time-Series Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro 11 23 0 20 Feb 2019
Please Forget Where I Was Last Summer: The Privacy Risks of Public Location (Meta)Data Kostas Drakonakis Panagiotis Ilia S. Ioannidis Jason Polakis 6 29 0 03 Jan 2019
Generative Models for Simulating Mobility Trajectories Vaibhav Kulkarni Natasa Tagasovska Thibault Vatter B. Garbinato 11 36 0 30 Nov 2018
Capstone: Mobility Modeling on Smartphones to Achieve Privacy by Design Vaibhav Kulkarni A. Moro B. Chapuis B. Garbinato 18 3 0 17 Feb 2018
Knock Knock, Who's There? Membership Inference on Aggregate Location Data Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro MIACV 11 265 0 21 Aug 2017
More Flexible Differential Privacy: The Application of Piecewise Mixture Distributions in Query Release David B. Smith Kanchana Thilakarathna M. Kâafar 34 4 0 05 Jul 2017
What Does The Crowd Say About You? Evaluating Aggregation-based Location Privacy Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro 16 56 0 01 Mar 2017
Data for Development: the D4D Challenge on Mobile Phone Data V. Blondel M. Esch C. Chan Fabrice Clérot Pierre Deville Etienne Huens F. Morlot Z. Smoreda Cezary Ziemlicki 48 234 0 29 Sep 2012