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FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients

Knowledge Discovery and Data Mining (KDD), 2022

19 July 2022

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Papers citing "FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients"

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Title
RobustFSM: Submodular Maximization in Federated Setting with Malicious Clients Duc A. Tran Dung Truong Duy Le FedML 120 0 0 03 Nov 2025
POLAR: Policy-based Layerwise Reinforcement Learning Method for Stealthy Backdoor Attacks in Federated Learning Kuai Yu X. Wu Peishen Yan Qingqian Yang Linshan Jiang Hao Wang Yang Hua Tao Song Haibing Guan AAML FedML 96 0 0 21 Oct 2025
Enhancing the Effectiveness and Durability of Backdoor Attacks in Federated Learning through Maximizing Task Distinction Zhaoxin Wang Handing Wang Cong Tian Yaochu Jin FedML AAML 84 0 0 23 Sep 2025
Hybrid Reputation Aggregation: A Robust Defense Mechanism for Adversarial Federated Learning in 5G and Edge Network Environments Saeid Sheikhi Panos Kostakos Lauri Lovén AAML 102 0 0 22 Sep 2025
MARS: A Malignity-Aware Backdoor Defense in Federated Learning Wei Wan Yuxuan Ning Zhicong Huang Cheng Hong Shengshan Hu Ziqi Zhou Y. Zhang Tianqing Zhu Wanlei Zhou L. Zhang AAML 100 3 0 21 Sep 2025
Poison to Detect: Detection of Targeted Overfitting in Federated Learning Soumia Zohra El Mestari Maciej Krzysztof Zuziak Gabriele Lenzini 76 0 0 15 Sep 2025
FEDEXCHANGE: Bridging the Domain Gap in Federated Object Detection for Free Haolin Yuan Jingtao Li Weiming Zhuang C. L. Philip Chen Lingjuan Lyu FedML 76 0 0 01 Sep 2025
FLAegis: A Two-Layer Defense Framework for Federated Learning Against Poisoning Attacks Enrique Mármol Campos Aurora González-Vidal José Luis Hernández Ramos A. Gómez-Skarmeta AAML 36 0 0 26 Aug 2025
FedUP: Efficient Pruning-based Federated Unlearning for Model Poisoning Attacks Nicolò Romandini Cristian Borcea R. Montanari Luca Foschini AAML MU 106 0 0 19 Aug 2025
Don't Reach for the Stars: Rethinking Topology for Resilient Federated Learning Mirko Konstantin Anirban Mukhopadhyay FedML 132 10 0 07 Aug 2025
Heterogeneity-Oblivious Robust Federated Learning Weiyao Zhang Jinyang Li Qi Song Miao Wang Chungang Lin Haitong Luo Xuying Meng Yujun Zhang AAML 143 0 0 05 Aug 2025
FedBAP: Backdoor Defense via Benign Adversarial Perturbation in Federated Learning Xinhai Yan Libing Wu Zhuangzhuang Zhang Bingyi Liu Lijuan Huo Jing Wang FedML 120 0 0 26 Jul 2025
AnalogFed: Federated Discovery of Analog Circuit Topologies with Generative AI Qiufeng Li Shu Hong Jian Gao Xuan Zhang Tian Lan Weidong Cao 116 3 0 20 Jul 2025
BackFed: An Efficient & Standardized Benchmark Suite for Backdoor Attacks in Federated Learning Thinh Dao Dung Thuy Nguyen Khoa D. Doan Kok-Seng Wong FedML SILM 88 0 0 07 Jul 2025
Privacy-Preserving Federated Learning Scheme with Mitigating Model Poisoning Attacks: Vulnerabilities and CountermeasuresIEEE Transactions on Dependable and Secure Computing (IEEE TDSC), 2025 Jiahui Wu Fucai Luo Tiecheng Sun Haiyan Wang Weizhe Zhang 130 0 0 30 Jun 2025
Zero-Trust Foundation Models: A New Paradigm for Secure and Collaborative Artificial Intelligence for Internet of ThingsIEEE Internet of Things Journal (IEEE IoT J.), 2025 Kai Li Conggai Li Xin Yuan Shenghong Li Sai Zou ... W. Ni Dusit Niyato Abbas Jamalipour Falko Dressler Ozgur B. Akan AI4CE 131 8 0 26 May 2025
Defending the Edge: Representative-Attention Defense against Backdoor Attacks in Federated Learning Chibueze Peace Obioma Youcheng Sun Mustafa A. Mustafa AAML 165 0 0 15 May 2025
Toward Malicious Clients Detection in Federated LearningACM Asia Conference on Computer and Communications Security (AsiaCCS), 2025 Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 285 2 0 14 May 2025
Bant: Byzantine Antidote via Trial Function and Trust Scores Gleb Molodtsov Daniil Medyakov Sergey Skorik Nikolas Khachaturov Shahane Tigranyan Vladimir Aletov A. Avetisyan Martin Takáč Aleksandr Beznosikov AAML 481 1 0 12 May 2025
Two Heads Are Better than One: Model-Weight and Latent-Space Analysis for Federated Learning on Non-iid Data against Poisoning Attacks Xingyu Lyu Ning Wang Yang Xiao Shixiong Li Tao Li Danjue Chen Yimin Chen AAML FedML 171 1 0 30 Mar 2025
Byzantine-Robust Federated Learning Using Generative Adversarial Networks Usama Zafar André Teixeira Salman Toor FedML AAML 274 1 0 26 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning Binghui Zhang Luis Mares De La Cruz Binghui Wang FedML 132 0 0 15 Mar 2025
Robustness and Cybersecurity in the EU Artificial Intelligence ActConference on Fairness, Accountability and Transparency (FAccT), 2025 Henrik Nolte Miriam Rateike Michèle Finck 304 6 0 22 Feb 2025
Provably Robust Federated Reinforcement LearningThe Web Conference (WWW), 2025 Minghong Fang Xilong Wang Neil Zhenqiang Gong FedML 252 7 0 12 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 205 0 0 03 Feb 2025
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence Huiwen Liu Feida Zhu Ling Cheng 276 0 0 06 Jan 2025
Vertical Federated Unlearning via Backdoor CertificationIEEE Transactions on Services Computing (TSC), 2024 Mengde Han Tianqing Zhu Lefeng Zhang Huan Huo Wanlei Zhou FedML MU 244 10 0 16 Dec 2024
How to Defend Against Large-scale Model Poisoning Attacks in Federated Learning: A Vertical Solution Jinbo Wang Ruijin Wang Fengli Zhang FedML AAML 211 0 0 16 Nov 2024
Act in Collusion: A Persistent Distributed Multi-Target Backdoor in Federated Learning Tao Liu Wu Yang Chen Xu Jiguang Lv Huanran Wang Yuhang Zhang Shuchun Xu Dapeng Man AAML FedML 260 1 0 06 Nov 2024
Formal Logic-guided Robust Federated Learning against Poisoning Attacks Dung T. Nguyen Ziyan An Taylor T. Johnson Meiyi Ma Kevin Leach AAML OOD 264 1 0 05 Nov 2024
FedBlock: A Blockchain Approach to Federated Learning against Backdoor AttacksBigData Congress [Services Society] (BSS), 2024 D. Nguyen Phi Le Nguyen T. Nguyen Hieu H. Pham D. Tran FedML 117 2 0 05 Nov 2024
FedCAP: Robust Federated Learning via Customized Aggregation and PersonalizationAsia-Pacific Computer Systems Architecture Conference (ACSA), 2024 Youpeng Li Xiang Wang Fuxun Yu Lichao Sun Wenbin Zhang Xuyu Wang FedML 716 1 0 16 Oct 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Syed Irfan Ali Meerza Jian-Dong Liu 174 5 0 02 Oct 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated LearningNeural Information Processing Systems (NeurIPS), 2024 M. A. Khan Yasra Chandio Fatima M. Anwar AAML 212 3 0 30 Sep 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated LearningComputer Vision and Pattern Recognition (CVPR), 2024 Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 283 2 0 29 Sep 2024
The poison of dimensionality Lê-Nguyên Hoang 225 3 0 25 Sep 2024
DAMe: Personalized Federated Social Event Detection with Dual Aggregation MechanismInternational Conference on Information and Knowledge Management (CIKM), 2024 Xiaoyan Yu Yifan Wei Pu Li Shuaishuai Zhou Hao Peng Li Sun Liehuang Zhu Philip S. Yu FedML 230 2 0 01 Sep 2024
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense Qilei Li A. Abdelmoniem FedML AAML 140 0 0 05 Aug 2024
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning Chenfei Nie Qiang Li Yuxin Yang Yuede Ji Binghui Wang 195 1 0 29 Jul 2024
Tackling Selfish Clients in Federated Learning Andrea Augello Ashish Gupta G. Re Sajal K. Das FedML 211 1 0 22 Jul 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 245 1 0 21 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 326 7 0 13 Jul 2024
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses Yuxin Yang Qiang Li Jinyuan Jia Yuan Hong Binghui Wang AAML FedML 181 19 0 12 Jul 2024
DART: A Solution for Decentralized Federated Learning Model Robustness Analysis Chao Feng Alberto Huertas Celdrán Jan von der Assen Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller OOD AAML 169 13 0 11 Jul 2024
Tracing Back the Malicious Clients in Poisoning Attacks to Federated Learning Yuqi Jia Minghong Fang Hongbin Liu Jinghuai Zhang Neil Zhenqiang Gong AAML 160 3 0 09 Jul 2024
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape Tuan Nguyen Dung Thuy Nguyen Khoa D. Doan Kok-Seng Wong AAML 158 3 0 05 Jul 2024
Defending Against Sophisticated Poisoning Attacks with RL-based Aggregation in Federated Learning Yujing Wang Hainan Zhang Sijia Wen Wangjie Qiu Binghui Guo AAML 154 1 0 20 Jun 2024
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning Yi Liu Cong Wang Lizhen Qu AAML 148 4 0 18 Jun 2024
Byzantine-Robust Decentralized Federated LearningConference on Computer and Communications Security (CCS), 2024 Minghong Fang Zifan Zhang Hairi Prashant Khanduri Jia Liu Songtao Lu Yuchen Liu Neil Zhenqiang Gong AAML FedML OOD 251 49 0 14 Jun 2024
A Novel Defense Against Poisoning Attacks on Federated Learning: LayerCAM Augmented with Autoencoder Jingjing Zheng Xin Yuan Kai Li Wei Ni Eduardo Tovar Jon Crowcroft FedML AAML 180 0 0 02 Jun 2024