MERLIN — Malware Evasion with Reinforcement LearnINg
Authors: Tony Quertier, Benjamin Marais, Stéphane Morucci, Bertrand Fournel | Published: 2022-03-24 | Updated: 2022-03-30
プライバシー保護
SoK: Differential Privacy on Graph-Structured Data
Authors: Tamara T. Mueller, Dmitrii Usynin, Johannes C. Paetzold, Daniel Rueckert, Georgios Kaissis | Published: 2022-03-17
Quantum Differential Privacy: An Information Theory Perspective
Authors: Christoph Hirche, Cambyse Rouzé, Daniel Stilck França | Published: 2022-02-22 | Updated: 2023-04-06
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
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