SoK: Privacy Preserving Machine Learning using Functional Encryption: Opportunities and Challenges
Authors: Prajwal Panzade, Daniel Takabi | Published: 2022-04-11 | Updated: 2022-09-02
Privacy Protection
Stability and Generalization of Differentially Private Minimax Problems
Authors: Yilin Kang, Yong Liu, Jian Li, Weiping Wang | Published: 2022-04-11 | Updated: 2022-04-22
HBFL: A Hierarchical Blockchain-based Federated Learning Framework for a Collaborative IoT Intrusion Detection
Authors: Mohanad Sarhan, Wai Weng Lo, Siamak Layeghy, Marius Portmann | Published: 2022-04-08
Distributed data analytics
Authors: Richard Mortier, Hamed Haddadi, Sandra Servia, Liang Wang | Published: 2022-03-26
MERLIN — Malware Evasion with Reinforcement LearnINg
Authors: Tony Quertier, Benjamin Marais, Stéphane Morucci, Bertrand Fournel | Published: 2022-03-24 | Updated: 2022-03-30
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