Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey

13 February 2022

Papers citing "Defense Strategies Toward Model Poisoning Attacks in Federated Learning: A Survey"

5 / 5 papers shown

Title
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis Chao Feng Alberto Huertas Celdrán Jan von der Assen Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller OOD AAML 52 8 0 11 Jul 2024
A Systematic Survey of Blockchained Federated Learning Zhilin Wang Qin Hu Minghui Xu Zhuang Yan Yawei Wang Xiuzhen Cheng FedML 48 45 0 05 Oct 2021
Robust Blockchained Federated Learning with Model Validation and Proof-of-Stake Inspired Consensus Hang Chen Syed Ali Asif Jihong Park Chien-Chung Shen M. Bennis FedML 33 42 0 09 Jan 2021
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 106 611 0 27 Dec 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 191 434 0 04 Mar 2020