EIFFeL: Ensuring Integrity for Federated Learning
Authors: Amrita Roy Chowdhury, Chuan Guo, Somesh Jha, Laurens van der Maaten | Published: 2021-12-23 | Updated: 2022-09-12
プライバシー保護
Mitigating Leakage from Data Dependent Communications in Decentralized Computing using Differential Privacy
Authors: Riad Ladjel, Nicolas Anciaux, Aurélien Bellet, Guillaume Scerri | Published: 2021-12-23
Flatee: Federated Learning Across Trusted Execution Environments
Authors: Arup Mondal, Yash More, Ruthu Hulikal Rooparaghunath, Debayan Gupta | Published: 2021-11-12
Secure Machine Learning in the Cloud Using One Way Scrambling by Deconvolution
Authors: Yiftach Savransky, Roni Mateless, Gilad Katz | Published: 2021-11-04
A Cyber Threat Intelligence Sharing Scheme based on Federated Learning for Network Intrusion Detection
Authors: Mohanad Sarhan, Siamak Layeghy, Nour Moustafa, Marius Portmann | Published: 2021-11-04
DP-XGBoost: Private Machine Learning at Scale
Authors: Nicolas Grislain, Joan Gonzalvez | Published: 2021-10-25
Addressing Privacy Threats from Machine Learning
Authors: Mary Anne Smart | Published: 2021-10-25
Differentially Private Coordinate Descent for Composite Empirical Risk Minimization
Authors: Paul Mangold, Aurélien Bellet, Joseph Salmon, Marc Tommasi | Published: 2021-10-22 | Updated: 2022-10-21
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy
Authors: Xiaolan Gu, Ming Li, Li Xiong | Published: 2021-10-22
Privacy in Open Search: A Review of Challenges and Solutions
Authors: Samuel Sousa, Christian Guetl, Roman Kern | Published: 2021-10-20 | Updated: 2022-04-04