DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

3 January 2022

Phillip Rieger

Papers citing "DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection"

23 / 23 papers shown

Title
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of Things Kai Li Conggai Li Xin Yuan Shenghong Li Sai Zou ... W. Ni Dusit Niyato Abbas Jamalipour Falko Dressler Ozgur B. Akan AI4CE 39 0 0 26 May 2025
Toward Malicious Clients Detection in Federated Learning Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 80 0 0 14 May 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu Zikai Zhang Rui Hu AAML FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 249 2 0 11 Mar 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 169 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 136 8 0 29 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali Reda Bellafqira Gouenou Coatrieux AAML FedML 95 0 0 21 Jan 2025
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning Bin Li Xiaoye Miao Yongheng Shang Xinkui Zhao AAML 135 0 0 08 Jan 2025
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 118 0 0 29 Sep 2024
A Learning-Based Attack Framework to Break SOTA Poisoning Defenses in Federated Learning Yuxin Yang Qiang Li Chenfei Nie Yuan Hong Meng Pang Binghui Wang AAML FedML 103 1 0 21 Jul 2024
BoBa: Boosting Backdoor Detection through Data Distribution Inference in Federated Learning Ning Wang Shanghao Shi Yang Xiao Yimin Chen Y. T. Hou W. Lou FedML AAML 100 1 0 12 Jul 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 97 2 0 31 May 2024
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning Naveen Kumar Krishna Mohan Aravind Machiry AAML 106 1 0 05 Apr 2024
Backdoor Threats from Compromised Foundation Models to Federated Learning Xi Li Songhe Wang Chen Henry Wu Hao Zhou Jiaqi Wang 176 13 0 31 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 88 8 0 03 Oct 2023
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks Ehsanul Kabir Zeyu Song Md Rafi Ur Rashid Shagufta Mehnaz 66 7 0 10 Aug 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 85 16 0 20 Apr 2023
Learning to Backdoor Federated Learning Henger Li Chen Wu Senchun Zhu Zizhan Zheng FedML 82 10 0 06 Mar 2023
On the Vulnerability of Backdoor Defenses for Federated Learning Pei Fang Jinghui Chen FedML 77 34 0 19 Jan 2023
FedTracker: Furnishing Ownership Verification and Traceability for Federated Learning Model Shuo Shao Wenyuan Yang Hanlin Gu Zhan Qin Lixin Fan Qiang Yang Kui Ren FedML 89 33 0 14 Nov 2022
Watermarking in Secure Federated Learning: A Verification Framework Based on Client-Side Backdooring Wenyuan Yang Shuo Shao Yue Yang Xiyao Liu Ximeng Liu Zhihua Xia Gerald Schaefer Hui Fang FedML 79 24 0 14 Nov 2022
CrowdGuard: Federated Backdoor Detection in Federated Learning Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 106 22 0 14 Oct 2022
More is Better (Mostly): On the Backdoor Attacks in Federated Graph Neural Networks Jing Xu Rui Wang Stefanos Koffas K. Liang S. Picek FedML AAML 112 28 0 07 Feb 2022
Securing Federated Sensitive Topic Classification against Poisoning Attacks Tianyue Chu Álvaro García-Recuero Costas Iordanou Georgios Smaragdakis Nikolaos Laoutaris 113 9 0 31 Jan 2022