ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models
Authors: Jin Xie, Ruishi He, Songze Li, Xiaojun Jia, Shouling Ji | Published: 2025-04-29
プライバシー侵害
DP-2Stage: Adapting Language Models as Differentially Private Tabular Data Generators
Authors: Tejumade Afonja, Hui-Po Wang, Raouf Kerkouche, Mario Fritz | Published: 2024-12-03 | Updated: 2025-04-29
ProPILE: Probing Privacy Leakage in Large Language Models
Authors: Siwon Kim, Sangdoo Yun, Hwaran Lee, Martin Gubri, Sungroh Yoon, Seong Joon Oh | Published: 2023-07-04
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
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
Authors: Tsuyoshi Idé, Rudy Raymond | Published: 2022-08-23 | Updated: 2022-08-24
A Review of Federated Learning in Energy Systems
Authors: Xu Cheng, Chendan Li, Xiufeng Liu | Published: 2022-08-20