A Cautionary Tale: On the Role of Reference Data in Empirical Privacy Defenses
Authors: Caelin G. Kaplan, Chuan Xu, Othmane Marfoq, Giovanni Neglia, Anderson Santana de Oliveira | Published: 2023-10-18
Privacy Protection Method
Privacy-Preserving Graph Embedding based on Local Differential Privacy
Authors: Zening Li, Rong-Hua Li, Meihao Liao, Fusheng Jin, Guoren Wang | Published: 2023-10-17 | Updated: 2024-08-04
Private Synthetic Data Meets Ensemble Learning
Authors: Haoyuan Sun, Navid Azizan, Akash Srivastava, Hao Wang | Published: 2023-10-15
DPZero: Private Fine-Tuning of Language Models without Backpropagation
Authors: Liang Zhang, Bingcong Li, Kiran Koshy Thekumparampil, Sewoong Oh, Niao He | Published: 2023-10-14 | Updated: 2024-06-06
Privacy-Preserving Financial Anomaly Detection via Federated Learning & Multi-Party Computation
Authors: Sunpreet Arora, Andrew Beams, Panagiotis Chatzigiannis, Sebastian Meiser, Karan Patel, Srinivasan Raghuraman, Peter Rindal, Harshal Shah, Yizhen Wang, Yuhang Wu, Hao Yang, Mahdi Zamani | Published: 2023-10-06
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
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