Blockchain-based Monitoring for Poison Attack Detection in Decentralized Federated Learning
Authors: Ranwa Al Mallah, David Lopez | Published: 2022-09-30
ポイズニング
A Snapshot of the Frontiers of Client Selection in Federated Learning
Authors: Gergely Dániel Németh, Miguel Ángel Lozano, Novi Quadrianto, Nuria Oliver | Published: 2022-09-27 | Updated: 2023-01-02
Federated Learning from Pre-Trained Models: A Contrastive Learning Approach
Authors: Yue Tan, Guodong Long, Jie Ma, Lu Liu, Tianyi Zhou, Jing Jiang | Published: 2022-09-21
Characterizing Internal Evasion Attacks in Federated Learning
Authors: Taejin Kim, Shubhranshu Singh, Nikhil Madaan, Carlee Joe-Wong | Published: 2022-09-17 | Updated: 2023-10-21
Dataset Inference for Self-Supervised Models
Authors: Adam Dziedzic, Haonan Duan, Muhammad Ahmad Kaleem, Nikita Dhawan, Jonas Guan, Yannis Cattan, Franziska Boenisch, Nicolas Papernot | Published: 2022-09-16 | Updated: 2023-01-13
Preserving Privacy in Federated Learning with Ensemble Cross-Domain Knowledge Distillation
Authors: Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David Doermann, Arun Innanje | Published: 2022-09-10
Reducing Certified Regression to Certified Classification for General Poisoning Attacks
Authors: Zayd Hammoudeh, Daniel Lowd | Published: 2022-08-29 | Updated: 2022-12-29
Membership-Doctor: Comprehensive Assessment of Membership Inference Against Machine Learning Models
Authors: Xinlei He, Zheng Li, Weilin Xu, Cory Cornelius, Yang Zhang | Published: 2022-08-22
Fed-FSNet: Mitigating Non-I.I.D. Federated Learning via Fuzzy Synthesizing Network
Authors: Jingcai Guo, Song Guo, Jie Zhang, Ziming Liu | Published: 2022-08-21 | Updated: 2023-04-25
Byzantines can also Learn from History: Fall of Centered Clipping in Federated Learning
Authors: Kerem Ozfatura, Emre Ozfatura, Alptekin Kupcu, Deniz Gunduz | Published: 2022-08-21 | Updated: 2024-01-01