SecFL: Confidential Federated Learning using TEEs
Authors: Do Le Quoc, Christof Fetzer | Published: 2021-10-03 | Updated: 2021-10-07
連合学習
Fairness-Driven Private Collaborative Machine Learning
Authors: Dana Pessach, Tamir Tassa, Erez Shmueli | Published: 2021-09-29
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers
Authors: Antoine Boutet, Thomas Lebrun, Jan Aalmoes, Adrien Baud | Published: 2021-09-26
SGDE: Secure Generative Data Exchange for Cross-Silo Federated Learning
Authors: Eugenio Lomurno, Alberto Archetti, Lorenzo Cazzella, Stefano Samele, Leonardo Di Perna, Matteo Matteucci | Published: 2021-09-24 | Updated: 2022-09-07
The More, the Better? A Study on Collaborative Machine Learning for DGA Detection
Authors: Arthur Drichel, Benedikt Holmes, Justus von Brandt, Ulrike Meyer | Published: 2021-09-24
DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning
Authors: Md Tamjid Hossain, Shafkat Islam, Shahriar Badsha, Haoting Shen | Published: 2021-09-21
SoK: Machine Learning Governance
Authors: Varun Chandrasekaran, Hengrui Jia, Anvith Thudi, Adelin Travers, Mohammad Yaghini, Nicolas Papernot | Published: 2021-09-20
Dubhe: Towards Data Unbiasedness with Homomorphic Encryption in Federated Learning Client Selection
Authors: Shulai Zhang, Zirui Li, Quan Chen, Wenli Zheng, Jingwen Leng, Minyi Guo | Published: 2021-09-08
Private Multi-Task Learning: Formulation and Applications to Federated Learning
Authors: Shengyuan Hu, Zhiwei Steven Wu, Virginia Smith | Published: 2021-08-30 | Updated: 2023-10-17
Secure Neuroimaging Analysis using Federated Learning with Homomorphic Encryption
Authors: Dimitris Stripelis, Hamza Saleem, Tanmay Ghai, Nikhil Dhinagar, Umang Gupta, Chrysovalantis Anastasiou, Greg Ver Steeg, Srivatsan Ravi, Muhammad Naveed, Paul M. Thompson, Jose Luis Ambite | Published: 2021-08-07 | Updated: 2021-11-09