Dissecting Distribution Inference
Authors: Anshuman Suri, Yifu Lu, Yanjin Chen, David Evans | Published: 2022-12-15 | Updated: 2024-04-05
Privacy Risk Management
Vicious Classifiers: Assessing Inference-time Data Reconstruction Risk in Edge Computing
Authors: Mohammad Malekzadeh, Deniz Gunduz | Published: 2022-12-08 | Updated: 2024-10-01
Reconstructing Training Data from Model Gradient, Provably
Authors: Zihan Wang, Jason D. Lee, Qi Lei | Published: 2022-12-07 | Updated: 2023-06-10
On the Vulnerability of Data Points under Multiple Membership Inference Attacks and Target Models
Authors: Mauro Conti, Jiaxin Li, Stjepan Picek | Published: 2022-10-28
Extracted BERT Model Leaks More Information than You Think!
Authors: Xuanli He, Chen Chen, Lingjuan Lyu, Qiongkai Xu | Published: 2022-10-21 | Updated: 2022-10-31
Proof of Unlearning: Definitions and Instantiation
Authors: Jiasi Weng, Shenglong Yao, Yuefeng Du, Junjie Huang, Jian Weng, Cong Wang | Published: 2022-10-20 | Updated: 2022-10-21
How Does a Deep Learning Model Architecture Impact Its Privacy? A Comprehensive Study of Privacy Attacks on CNNs and Transformers
Authors: Guangsheng Zhang, Bo Liu, Huan Tian, Tianqing Zhu, Ming Ding, Wanlei Zhou | Published: 2022-10-20 | Updated: 2024-02-02
A Comprehensive Survey on Edge Data Integrity Verification: Fundamentals and Future Trends
Authors: Yao Zhao, Youyang Qu, Yong Xiang, Md Palash Uddin, Dezhong Peng, Longxiang Gao | Published: 2022-10-20 | Updated: 2024-08-07
Attribute Inference Attacks in Online Multiplayer Video Games: a Case Study on Dota2
Authors: Pier Paolo Tricomi, Lisa Facciolo, Giovanni Apruzzese, Mauro Conti | Published: 2022-10-17 | Updated: 2023-04-30
Stochastic Differentially Private and Fair Learning
Authors: Andrew Lowy, Devansh Gupta, Meisam Razaviyayn | Published: 2022-10-17 | Updated: 2023-06-03