Protect Federated Learning Against Backdoor Attacks via Data-Free
Trigger Generation

Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation

22 August 2023

Ming Hu

Yang Liu

Papers citing "Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation"

5 / 5 papers shown

Title
FedQP: Towards Accurate Federated Learning using Quadratic Programming Guided Mutation Jiawen Weng Zeke Xia Ran Li Ming Hu Mingsong Chen FedML 69 0 0 24 Nov 2024
Semantic-guided Prompt Organization for Universal Goal Hijacking against LLMs Yihao Huang Chong Wang Xiaojun Jia Qing-Wu Guo Felix Juefei Xu Jian Zhang G. Pu Yang Liu 30 8 0 23 May 2024
SAME: Sample Reconstruction against Model Extraction Attacks Yi Xie Jie M. Zhang Shiqian Zhao Tianwei Zhang Xiaofeng Chen AAML MIACV 43 4 0 17 Dec 2023
Personalization as a Shortcut for Few-Shot Backdoor Attack against Text-to-Image Diffusion Models Yihao Huang Felix Juefei Xu Qing-Wu Guo Jie M. Zhang Yutong Wu Ming Hu Tianlin Li Geguang Pu Yang Liu DiffM 11 32 0 18 May 2023
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 169 355 0 07 Dec 2020