Optimal Differentially Private Model Training with Public Data
Authors: Andrew Lowy, Zeman Li, Tianjian Huang, Meisam Razaviyayn | Published: 2023-06-26 | Updated: 2024-09-09
Privacy Protection Method
Adversarial Robustness in Unsupervised Machine Learning: A Systematic Review
Authors: Mathias Lundteigen Mohus, Jinyue Li | Published: 2023-06-01
A Note On Interpreting Canary Exposure
Authors: Matthew Jagielski | Published: 2023-05-31 | Updated: 2023-06-02
Inferring Private Personal Attributes of Virtual Reality Users from Head and Hand Motion Data
Authors: Vivek Nair, Christian Rack, Wenbo Guo, Rui Wang, Shuixian Li, Brandon Huang, Atticus Cull, James F. O'Brien, Marc Latoschik, Louis Rosenberg, Dawn Song | Published: 2023-05-30 | Updated: 2023-06-10
Membership Inference Attacks against Language Models via Neighbourhood Comparison
Authors: Justus Mattern, Fatemehsadat Mireshghallah, Zhijing Jin, Bernhard Schölkopf, Mrinmaya Sachan, Taylor Berg-Kirkpatrick | Published: 2023-05-29 | Updated: 2023-08-07
LLMs Can Understand Encrypted Prompt: Towards Privacy-Computing Friendly Transformers
Authors: Xuanqi Liu, Zhuotao Liu | Published: 2023-05-28 | Updated: 2023-12-15
Improved Privacy-Preserving PCA Using Optimized Homomorphic Matrix Multiplication
Authors: Xirong Ma | Published: 2023-05-27 | Updated: 2023-08-17
Evaluating Privacy Leakage in Split Learning
Authors: Xinchi Qiu, Ilias Leontiadis, Luca Melis, Alex Sablayrolles, Pierre Stock | Published: 2023-05-22 | Updated: 2024-01-19
Quantifying Association Capabilities of Large Language Models and Its Implications on Privacy Leakage
Authors: Hanyin Shao, Jie Huang, Shen Zheng, Kevin Chen-Chuan Chang | Published: 2023-05-22 | Updated: 2024-02-09
In the Name of Fairness: Assessing the Bias in Clinical Record De-identification
Authors: Yuxin Xiao, Shulammite Lim, Tom Joseph Pollard, Marzyeh Ghassemi | Published: 2023-05-18 | Updated: 2024-01-03