Differentially Private Linear Regression with Linked Data
Authors: Shurong Lin, Elliot Paquette, Eric D. Kolaczyk | Published: 2023-08-01 | Updated: 2024-05-08
プライバシー保護手法
Compressed Private Aggregation for Scalable and Robust Federated Learning over Massive Networks
Authors: Natalie Lang, Nir Shlezinger, Rafael G. L. D'Oliveira, Salim El Rouayheb | Published: 2023-08-01
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
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