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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"

48 / 98 papers shown

Title
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 263 6 0 31 May 2024
EmInspector: Combating Backdoor Attacks in Federated Self-Supervised Learning Through Embedding Inspection Yuwen Qian Shuchi Wu Kang Wei Ming Ding Di Xiao Tao Xiang Chuan Ma Song Guo FedML AAML 158 2 0 21 May 2024
A GAN-Based Data Poisoning Attack Against Federated Learning Systems and Its Countermeasure Wei Sun Bo Gao Ke Xiong Yuwei Wang AAML FedML 203 5 0 19 May 2024
Enabling Privacy-Preserving and Publicly Auditable Federated Learning Huang Zeng Anjia Yang Jian Weng Min-Rong Chen Fengjun Xiao Yi Liu Ye Yao 209 0 0 07 May 2024
DarkFed: A Data-Free Backdoor Attack in Federated LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2024 Minghui Li Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Leo Yu Zhang Yichen Wang FedML 160 11 0 06 May 2024
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency Yueqi Xie Minghong Fang Neil Zhenqiang Gong AAML 199 20 0 24 Apr 2024
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning Naveen Kumar Krishna Mohan Aravind Machiry AAML 327 3 0 05 Apr 2024
FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning Tianhang Zheng Baochun Li FedML AAML 266 2 0 26 Feb 2024
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated LearningIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2024 Yu Jiang Jiyuan Shen Ziyao Liu Chee Wei Tan Kwok-Yan Lam AAML FedML 263 13 0 16 Jan 2024
SENet: Visual Detection of Online Social Engineering Attack Campaigns Irfan Ozen Karthika Subramani Phani Vadrevu R. Perdisci 126 4 0 10 Jan 2024
SkyMask: Attack-agnostic Robust Federated Learning with Fine-grained Learnable Masks Peishen Yan Hao Wang Tao Song Yang Hua Ruhui Ma Ningxin Hu M. Haghighat Haibing Guan AAML FedML 150 4 0 19 Dec 2023
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder ApproachIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Kai Li Jingjing Zheng Xinnan Yuan W. Ni Ozgur B. Akan H. Vincent Poor AAML 193 27 0 30 Nov 2023
Eliminating Domain Bias for Federated Learning in Representation SpaceNeural Information Processing Systems (NeurIPS), 2023 Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 202 60 0 25 Nov 2023
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update AmplificationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Zirui Gong Liyue Shen Yanjun Zhang Leo Yu Zhang Jingwei Wang Guangdong Bai Yong Xiang AAML 198 11 0 13 Nov 2023
A Survey on Federated Unlearning: Challenges, Methods, and Future DirectionsACM Computing Surveys (ACM Comput. Surv.), 2023 Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 278 89 0 31 Oct 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 191 18 0 20 Oct 2023
Competitive Advantage Attacks to Decentralized Federated Learning Yuqi Jia Minghong Fang Neil Zhenqiang Gong FedML 219 1 0 20 Oct 2023
FLrce: Resource-Efficient Federated Learning with Early-Stopping Strategy Ziru Niu Senior Member Ieee Hai Dong •. A. K. Qin Senior Member Ieee Tao Gu 209 15 0 15 Oct 2023
Sentinel: An Aggregation Function to Secure Decentralized Federated LearningEuropean Conference on Artificial Intelligence (ECAI), 2023 Chao Feng Alberto Huertas Celdrán Janosch Baltensperger Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller 169 8 0 12 Oct 2023
RECESS Vaccine for Federated Learning: Proactive Defense Against Model Poisoning AttacksNeural Information Processing Systems (NeurIPS), 2023 Haonan Yan Wenjing Zhang Qian Chen Xiaoguang Li Wenhai Sun Hui Li Xiao-La Lin AAML 101 14 0 09 Oct 2023
Kick Bad Guys Out! Conditionally Activated Anomaly Detection in Federated Learning with Zero-Knowledge Proof Verification Shanshan Han Wenxuan Wu Baturalp Buyukates Weizhao Jin Qifan Zhang Yuhang Yao Salman Avestimehr Chaoyang He AAML 370 1 0 06 Oct 2023
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual PerspectiveAAAI Conference on Artificial Intelligence (AAAI), 2023 Zhen Qin Feiyi Chen Chen Zhi Xueqiang Yan Shuiguang Deng AAML FedML 124 12 0 28 Sep 2023
PA-iMFL: Communication-Efficient Privacy Amplification Method against Data Reconstruction Attack in Improved Multi-Layer Federated LearningIEEE Internet of Things Journal (IEEE IoT J.), 2023 Jianhua Wang Xiaolin Chang Jelena Mivsić Vojislav B. Mivsić Zhi Chen Junchao Fan 151 5 0 25 Sep 2023
Fed-LSAE: Thwarting Poisoning Attacks against Federated Cyber Threat Detection System via Autoencoder-based Latent Space InspectionJournal of Information Security and Applications (JISA), 2023 Tran Duc Luong Vuong Minh Tien N. H. Quyen Do Thi Thu Hien Phan The Duy V. Pham AAML 134 6 0 20 Sep 2023
FTA: Stealthy and Adaptive Backdoor Attack with Flexible Triggers on Federated Learning Yanqi Qiao Dazhuang Liu Congwen Chen Rui Wang Kaitai Liang FedML AAML 207 2 0 31 Aug 2023
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning AttacksIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Ehsanul Kabir Zeyu Song Md Rafi Ur Rashid Shagufta Mehnaz 130 21 0 10 Aug 2023
Backdoor Federated Learning by Poisoning Backdoor-Critical LayersInternational Conference on Learning Representations (ICLR), 2023 Haomin Zhuang Mingxian Yu Hao Wang Yang Hua Jian Li Xu Yuan FedML 117 25 0 08 Aug 2023
Federated Distributionally Robust Optimization with Non-Convex Objectives: Algorithm and AnalysisIEEE Transactions on Mobile Computing (IEEE TMC), 2023 Yang Jiao Kai Yang Dongjin Song 273 4 0 25 Jul 2023
G $^2$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering Hao Yu Chuan Ma Meng Liu Xuhong Zhang Ming Ding Tao Xiang Shouling Ji Xinwang Liu AAML FedML 145 14 0 08 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 212 6 0 06 Jun 2023
Covert Communication Based on the Poisoning Attack in Federated Learning Junchuan Liang Rong Wang FedML 143 1 0 02 Jun 2023
Learning Subpocket Prototypes for Generalizable Structure-based Drug DesignInternational Conference on Machine Learning (ICML), 2023 Zaixin Zhang Qi Liu 161 43 0 22 May 2023
FedGT: Identification of Malicious Clients in Federated Learning with Secure AggregationIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 M. Xhemrishi Johan Ostman Antonia Wachter-Zeh Alexandre Graell i Amat FedML 242 21 0 09 May 2023
Denial-of-Service or Fine-Grained Control: Towards Flexible Model Poisoning Attacks on Federated LearningInternational Joint Conference on Artificial Intelligence (IJCAI), 2023 Hangtao Zhang Zeming Yao L. Zhang Shengshan Hu Chao Chen Alan Liew Zhetao Li 218 17 0 21 Apr 2023
Protecting Federated Learning from Extreme Model Poisoning Attacks via Multidimensional Time Series Anomaly Detection Edoardo Gabrielli Dimitri Belli Vittorio Miori Gabriele Tolomei AAML 218 6 0 29 Mar 2023
Backdoor Defense via Deconfounded Representation LearningComputer Vision and Pattern Recognition (CVPR), 2023 Zaixin Zhang Qi Liu Zhicai Wang Zepu Lu Qingyong Hu AAML 123 47 0 13 Mar 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research DirectionsEngineering applications of artificial intelligence (Eng. Appl. Artif. Intell.), 2023 Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 154 86 0 03 Mar 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and PrivacyThe Web Conference (WWW), 2023 Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 316 61 0 21 Feb 2023
WW-FL: Secure and Private Large-Scale Federated Learning F. Marx T. Schneider Ajith Suresh Tobias Wehrle Christian Weinert Hossein Yalame FedML 295 5 0 20 Feb 2023
Poisoning Attacks and Defenses in Federated Learning: A Survey S. Sagar Chang-Sun Li S. W. Loke Jinho Choi OOD FedML 178 11 0 14 Jan 2023
AFLGuard: Byzantine-robust Asynchronous Federated LearningAsia-Pacific Computer Systems Architecture Conference (ACSA), 2022 Minghong Fang Jia-Wei Liu Neil Zhenqiang Gong Elizabeth S. Bentley AAML 133 35 0 13 Dec 2022
Untargeted Attack against Federated Recommendation Systems via Poisonous Item Embeddings and the DefenseAAAI Conference on Artificial Intelligence (AAAI), 2022 Yang Yu Qi Liu Likang Wu Runlong Yu Sanshi Lei Yu Zaixin Zhang FedML 130 60 0 11 Dec 2022
FedLesScan: Mitigating Stragglers in Serverless Federated Learning M. Elzohairy Mohak Chadha Anshul Jindal Andreas Grafberger Jiatao Gu Michael Gerndt Osama Abboud FedML 257 7 0 10 Nov 2022
FedRecover: Recovering from Poisoning Attacks in Federated Learning using Historical InformationIEEE Symposium on Security and Privacy (IEEE S&P), 2022 Xiaoyu Cao Jinyuan Jia Zaixi Zhang Neil Zhenqiang Gong FedML MU AAML 182 105 0 20 Oct 2022
ScionFL: Efficient and Robust Secure Quantized Aggregation Y. Ben-Itzhak Helen Mollering Benny Pinkas T. Schneider Ajith Suresh Oleksandr Tkachenko S. Vargaftik Christian Weinert Hossein Yalame Avishay Yanai 189 11 0 13 Oct 2022
FLCert: Provably Secure Federated Learning against Poisoning AttacksIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Xiaoyu Cao Zaixi Zhang Jinyuan Jia Neil Zhenqiang Gong FedML OOD 313 76 0 02 Oct 2022
Privacy-Preserving Federated Recurrent Neural NetworksProceedings on Privacy Enhancing Technologies (PoPETs), 2022 Sinem Sav Abdulrahman Diaa Apostolos Pyrgelis Jean-Philippe Bossuat Jean-Pierre Hubaux FedML 197 9 0 28 Jul 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed LearningProceedings of the IEEE (Proc. IEEE), 2022 Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 289 63 0 18 Feb 2022