BayBFed: Bayesian Backdoor Defense for Federated Learning

23 January 2023

Kavita Kumari

Phillip Rieger

Hossein Fereidooni

Murtuza Jadliwala

Papers citing "BayBFed: Bayesian Backdoor Defense for Federated Learning"

20 / 20 papers shown

Title
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 35 0 0 22 Apr 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 77 0 0 24 Feb 2025
Do We Really Need to Design New Byzantine-robust Aggregation Rules? Minghong Fang Seyedsina Nabavirazavi Zhuqing Liu Wei Sun S. Iyengar Haibo Yang AAML OOD 76 6 0 29 Jan 2025
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version) Phillip Rieger Alessandro Pegoraro Kavita Kumari Tigist Abera Jonathan Knauer A. Sadeghi AAML 43 2 0 11 Jan 2025
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning Bin Li Xiaoye Miao Yongheng Shang Xinkui Zhao AAML 44 0 0 08 Jan 2025
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks D. Nguyen Phi Le Nguyen T. Nguyen Hieu H. Pham D. Tran FedML 24 0 0 05 Nov 2024
"No Matter What You Do": Purifying GNN Models via Backdoor Unlearning Jiale Zhang Chengcheng Zhu Bosen Rao Hao Sui Xiaobing Sun Bing Chen Chunyi Zhou Shouling Ji AAML 30 0 0 02 Oct 2024
ACE: A Model Poisoning Attack on Contribution Evaluation Methods in Federated Learning Zhangchen Xu Fengqing Jiang Luyao Niu Jinyuan Jia Bo Li Radha Poovendran FedML 38 1 0 31 May 2024
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning Songze Li Yanbo Dai AAML FedML 30 7 0 31 May 2024
Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning Yujie Zhang Neil Zhenqiang Gong Michael K. Reiter FedML 35 1 0 10 May 2024
The last Dance : Robust backdoor attack via diffusion models and bayesian approach Orson Mengara DiffM 32 4 0 05 Feb 2024
FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning Hossein Fereidooni Alessandro Pegoraro Phillip Rieger Alexandra Dmitrienko Ahmad-Reza Sadeghi AAML 13 12 0 07 Dec 2023
FLTracer: Accurate Poisoning Attack Provenance in Federated Learning Xinyu Zhang Qingyu Liu Zhongjie Ba Yuan Hong Tianhang Zheng Feng Lin Liwang Lu Kui Ren AAML 26 10 0 20 Oct 2023
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks Jorge Castillo Phillip Rieger Hossein Fereidooni Qian Chen Ahmad Sadeghi FedML AAML 28 8 0 03 Oct 2023
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs Shanshan Han Baturalp Buyukates Zijian Hu Han Jin Weizhao Jin ... Qifan Zhang Yuhui Zhang Carlee Joe-Wong Salman Avestimehr Chaoyang He SILM 21 12 0 08 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 16 4 0 06 Jun 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 19 14 0 20 Apr 2023
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 22 22 0 14 Oct 2022
MUDGUARD: Taming Malicious Majorities in Federated Learning using Privacy-Preserving Byzantine-Robust Clustering Rui Wang Xingkai Wang H. Chen Jérémie Decouchant S. Picek Z. Liu K. Liang 29 1 0 22 Aug 2022
FLTrust: Byzantine-robust Federated Learning via Trust Bootstrapping Xiaoyu Cao Minghong Fang Jia Liu Neil Zhenqiang Gong FedML 106 611 0 27 Dec 2020