ProPILE: Probing Privacy Leakage in Large Language Models
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プライバシー侵害
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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
The privacy issue of counterfactual explanations: explanation linkage attacks
Authors: Sofie Goethals, Kenneth Sörensen, David Martens | Published: 2022-10-21
COOKIEGRAPH: Understanding and Detecting First-Party Tracking Cookies
Authors: Shaoor Munir, Sandra Siby, Umar Iqbal, Steven Englehardt, Zubair Shafiq, Carmela Troncoso | Published: 2022-08-25 | Updated: 2023-11-27
Joint Privacy Enhancement and Quantization in Federated Learning
Authors: Natalie Lang, Elad Sofer, Tomer Shaked, Nir Shlezinger | Published: 2022-08-23
Decentralized Collaborative Learning with Probabilistic Data Protection
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A Review of Federated Learning in Energy Systems
Authors: Xu Cheng, Chendan Li, Xiufeng Liu | Published: 2022-08-20
Statistical Feature-based Personal Information Detection in Mobile Network Traffic
Authors: Shuang Zhao, Shuhui Chen, Ziling Wei | Published: 2021-12-23
Distributed Machine Learning and the Semblance of Trust
Authors: Dmitrii Usynin, Alexander Ziller, Daniel Rueckert, Jonathan Passerat-Palmbach, Georgios Kaissis | Published: 2021-12-21