Towards a Defense Against Federated Backdoor Attacks Under Continuous Training

24 May 2022

Papers citing "Towards a Defense Against Federated Backdoor Attacks Under Continuous Training"

7 / 7 papers shown

Title
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning Runhua Xu Shiqi Gao Chao Li J. Joshi Jianxin Li 48 2 0 08 Feb 2025
BrainCodec: Neural fMRI codec for the decoding of cognitive brain states Yuto Nishimura Masataka Sawayama Ayumu Yamashita Hideki Nakayama Kaoru Amano 32 2 0 06 Oct 2024
Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand Junfeng Guo Yiming Li Lixu Wang Shu-Tao Xia Heng-Chiao Huang Cong Liu Boheng Li 30 50 0 09 Oct 2023
Mithridates: Auditing and Boosting Backdoor Resistance of Machine Learning Pipelines Eugene Bagdasaryan Vitaly Shmatikov AAML 24 2 0 09 Feb 2023
BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning Zhenting Wang Juan Zhai Shiqing Ma AAML 131 97 0 26 May 2022
Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free Tianlong Chen Zhenyu (Allen) Zhang Yihua Zhang Shiyu Chang Sijia Liu Zhangyang Wang AAML 46 25 0 24 May 2022
Opportunities of Federated Learning in Connected, Cooperative and Automated Industrial Systems S. Savazzi M. Nicoli M. Bennis Sanaz Kianoush Luca Barbieri FedML AIFin AI4CE 40 125 0 09 Jan 2021