BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning

31 May 2024

Papers citing "BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning"

9 / 9 papers shown

Title
Toward Malicious Clients Detection in Federated Learning Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 16 0 0 14 May 2025
TrojanDam: Detection-Free Backdoor Defense in Federated Learning through Proactive Model Robustification utilizing OOD Data Yanbo Dai Songze Li Zihan Gan Xueluan Gong AAML FedML 32 0 0 22 Apr 2025
DeBackdoor: A Deductive Framework for Detecting Backdoor Attacks on Deep Models with Limited Data Dorde Popovic Amin Sadeghi Ting Yu Sanjay Chawla Issa M. Khalil AAML 49 0 0 27 Mar 2025
Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu Zikai Zhang Rui Hu FedML AAML 57 1 0 01 Nov 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 28 0 0 29 Sep 2024
Mitigating Backdoor Attack by Injecting Proactive Defensive Backdoor Shaokui Wei Hongyuan Zha Baoyuan Wu AAML 51 3 0 25 May 2024
Data Poisoning Attacks Against Multimodal Encoders Ziqing Yang Xinlei He Zheng Li Michael Backes Mathias Humbert Pascal Berrang Yang Zhang AAML 108 45 0 30 Sep 2022
SentiNet: Detecting Localized Universal Attacks Against Deep Learning Systems Edward Chou Florian Tramèr Giancarlo Pellegrino AAML 168 287 0 02 Dec 2018
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 177 1,031 0 29 Nov 2018