Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning

21 April 2023

Papers citing "Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated Learning"

7 / 7 papers shown

Title
Test-Time Backdoor Detection for Object Detection Models Hangtao Zhang Yichen Wang Shihui Yan Chenyu Zhu Ziqi Zhou Linshan Hou Shengshan Hu Minghui Li Yanjun Zhang L. Zhang AAML 54 0 0 19 Mar 2025
PB-UAP: Hybrid Universal Adversarial Attack For Image Segmentation Yufei Song Ziqi Zhou Minghui Li X. U. Wang Hangtao Zhang Menghao Deng Wei Wan Shengshan Hu L. Zhang AAML 103 4 0 21 Dec 2024
DarkFed: A Data-Free Backdoor Attack in Federated Learning Minghui Li Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Leo Yu Zhang Yichen Wang FedML 29 5 0 06 May 2024
Detector Collapse: Backdooring Object Detection to Catastrophic Overload or Blindness Hangtao Zhang Shengshan Hu Yichen Wang Leo Yu Zhang Ziqi Zhou Xianlong Wang Yanjun Zhang Chao Chen 29 2 0 17 Apr 2024
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification Zirui Gong Liyue Shen Yanjun Zhang Leo Yu Zhang Jingwei Wang Guangdong Bai Yong Xiang AAML 36 6 0 13 Nov 2023
A Four-Pronged Defense Against Byzantine Attacks in Federated Learning Wei Wan Shengshan Hu Minghui Li Jianrong Lu Longling Zhang Leo Yu Zhang Hai Jin AAML FedML 42 20 0 07 Aug 2023
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 117 611 0 27 Dec 2020