PLeak: Prompt Leaking Attacks against Large Language Model Applications
Authors: Bo Hui, Haolin Yuan, Neil Gong, Philippe Burlina, Yinzhi Cao | Published: 2024-05-10 | Updated: 2024-05-14
Membership Inference
Model Inversion Robustness: Can Transfer Learning Help?
Authors: Sy-Tuyen Ho, Koh Jun Hao, Keshigeyan Chandrasegaran, Ngoc-Bao Nguyen, Ngai-Man Cheung | Published: 2024-05-09
IPFed: Identity protected federated learning for user authentication
Authors: Yosuke Kaga, Yusei Suzuki, Kenta Takahashi | Published: 2024-05-07
The Federation Strikes Back: A Survey of Federated Learning Privacy Attacks, Defenses, Applications, and Policy Landscape
Authors: Joshua C. Zhao, Saurabh Bagchi, Salman Avestimehr, Kevin S. Chan, Somali Chaterji, Dimitris Dimitriadis, Jiacheng Li, Ninghui Li, Arash Nourian, Holger R. Roth | Published: 2024-05-06 | Updated: 2025-03-22
Evaluations of Machine Learning Privacy Defenses are Misleading
Authors: Michael Aerni, Jie Zhang, Florian Tramèr | Published: 2024-04-26 | Updated: 2024-09-05
Reliable Model Watermarking: Defending Against Theft without Compromising on Evasion
Authors: Hongyu Zhu, Sichu Liang, Wentao Hu, Fangqi Li, Ju Jia, Shilin Wang | Published: 2024-04-21
Optimization of Lightweight Malware Detection Models For AIoT Devices
Authors: Felicia Lo, Shin-Ming Cheng, Rafael Kaliski | Published: 2024-04-06
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning
Authors: Hongsheng Hu, Shuo Wang, Tian Dong, Minhui Xue | Published: 2024-04-04
Privacy Backdoors: Enhancing Membership Inference through Poisoning Pre-trained Models
Authors: Yuxin Wen, Leo Marchyok, Sanghyun Hong, Jonas Geiping, Tom Goldstein, Nicholas Carlini | Published: 2024-04-01
Protecting Copyrighted Material with Unique Identifiers in Large Language Model Training
Authors: Shuai Zhao, Linchao Zhu, Ruijie Quan, Yi Yang | Published: 2024-03-23 | Updated: 2024-08-12