A Survey of Data Security: Practices from Cybersecurity and Challenges of Machine Learning
Authors: Padmaksha Roy, Jaganmohan Chandrasekaran, Erin Lanus, Laura Freeman, Jeremy Werner | Published: 2023-10-06 | Updated: 2023-12-04
プライバシー保護手法
SABLE: Secure And Byzantine robust LEarning
Authors: Antoine Choffrut, Rachid Guerraoui, Rafael Pinot, Renaud Sirdey, John Stephan, Martin Zuber | Published: 2023-09-11 | Updated: 2023-12-14
Threshold KNN-Shapley: A Linear-Time and Privacy-Friendly Approach to Data Valuation
Authors: Jiachen T. Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal | Published: 2023-08-30 | Updated: 2023-11-26
Generating tabular datasets under differential privacy
Authors: Gianluca Truda | Published: 2023-08-28
ULDP-FL: Federated Learning with Across Silo User-Level Differential Privacy
Authors: Fumiyuki Kato, Li Xiong, Shun Takagi, Yang Cao, Masatoshi Yoshikawa | Published: 2023-08-23 | Updated: 2024-06-16
Bias-Aware Minimisation: Understanding and Mitigating Estimator Bias in Private SGD
Authors: Moritz Knolle, Robert Dorfman, Alexander Ziller, Daniel Rueckert, Georgios Kaissis | Published: 2023-08-23
Large-Scale Public Data Improves Differentially Private Image Generation Quality
Authors: Ruihan Wu, Chuan Guo, Kamalika Chaudhuri | Published: 2023-08-04
Differentially Private Linear Regression with Linked Data
Authors: Shurong Lin, Elliot Paquette, Eric D. Kolaczyk | Published: 2023-08-01 | Updated: 2024-05-08
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