Tracing Back the Malicious Clients in Poisoning Attacks to Federated
Learning

Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning

9 July 2024

Minghong Fang

Neil Zhenqiang Gong

Papers citing "Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning"

5 / 5 papers shown

Title
UTrace: Poisoning Forensics for Private Collaborative Learning Evan Rose Hidde Lycklama Harsh Chaudhari Anwar Hithnawi Alina Oprea 45 1 0 23 Sep 2024
FLCert: Provably Secure Federated Learning against Poisoning Attacks Xiaoyu Cao Zaixi Zhang Jinyuan Jia Neil Zhenqiang Gong FedML OOD 77 59 0 02 Oct 2022
Poison Forensics: Traceback of Data Poisoning Attacks in Neural Networks Shawn Shan A. Bhagoji Haitao Zheng Ben Y. Zhao AAML 94 50 0 13 Oct 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 117 611 0 27 Dec 2020
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018