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

19 July 2022

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

50 / 78 papers shown

Title
Defending the Edge: Representative-Attention for Mitigating Backdoor Attacks in Federated Learning Chibueze Peace Obioma Youcheng Sun Mustafa A. Mustafa AAML 24 0 0 15 May 2025
Trial and Trust: Addressing Byzantine Attacks with Comprehensive Defense Strategy Gleb Molodtsov Daniil Medyakov Sergey Skorik Nikolas Khachaturov Shahane Tigranyan Vladimir Aletov A. Avetisyan Martin Takáč Aleksandr Beznosikov AAML 35 0 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 51 0 0 30 Mar 2025
Robust Federated Learning Against Poisoning Attacks: A GAN-Based Defense Framework Usama Zafar André Teixeira Salman Toor FedML AAML 59 0 0 26 Mar 2025
FedTilt: Towards Multi-Level Fairness-Preserving and Robust Federated Learning Binghui Zhang Luis Mares De La Cruz Binghui Wang FedML 53 0 0 15 Mar 2025
Provably Robust Federated Reinforcement Learning Minghong Fang Xilong Wang Neil Zhenqiang Gong FedML 70 0 0 12 Feb 2025
Decoding FL Defenses: Systemization, Pitfalls, and Remedies M. A. Khan Virat Shejwalkar Yasra Chandio Amir Houmansadr Fatima M. Anwar AAML 38 0 0 03 Feb 2025
Proof-of-Data: A Consensus Protocol for Collaborative Intelligence Huiwen Liu Feida Zhu Ling Cheng 44 0 0 06 Jan 2025
Vertical Federated Unlearning via Backdoor Certification Mengde Han Tianqing Zhu Lefeng Zhang Huan Huo Wanlei Zhou FedML MU 74 2 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 29 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 35 0 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 36 0 0 05 Nov 2024
FedBlock: A Blockchain Approach to Federated Learning against Backdoor Attacks D. Nguyen Phi Le Nguyen T. Nguyen Hieu H. Pham D. Tran FedML 31 0 0 05 Nov 2024
FedCAP: Robust Federated Learning via Customized Aggregation and Personalization Youpeng Li Xuben Wang Fuxun Yu Lichao Sun Wenbin Zhang Xuyu Wang FedML 79 0 0 16 Oct 2024
EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning Syed Irfan Ali Meerza Jian-Dong Liu 37 2 0 02 Oct 2024
HYDRA-FL: Hybrid Knowledge Distillation for Robust and Accurate Federated Learning M. A. Khan Yasra Chandio Fatima M. Anwar AAML 31 0 0 30 Sep 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 36 0 0 29 Sep 2024
The poison of dimensionality Lê-Nguyên Hoang 33 2 0 25 Sep 2024
DAMe: Personalized Federated Social Event Detection with Dual Aggregation Mechanism Xiaoyan Yu Yifan Wei Pu Li Shuaishuai Zhou Hao Peng Li Sun Liehuang Zhu Philip S. Yu FedML 29 1 0 01 Sep 2024
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense Qilei Li A. Abdelmoniem FedML AAML 26 0 0 05 Aug 2024
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning Chenfei Nie Qiang Li Yuxin Yang Yuede Ji Binghui Wang 42 1 0 29 Jul 2024
Tackling Selfish Clients in Federated Learning Andrea Augello Ashish Gupta G. Re Sajal K. Das FedML 23 0 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 42 1 0 21 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 63 1 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 60 11 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 54 8 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 38 1 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 33 1 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 30 0 0 20 Jun 2024
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning Yi Liu Cong Wang Xingliang Yuan AAML 49 2 0 18 Jun 2024
Byzantine-Robust Decentralized Federated Learning Minghong Fang Zifan Zhang Hairi Prashant Khanduri Jia Liu Songtao Lu Yuchen Liu Neil Zhenqiang Gong AAML FedML OOD 46 18 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 48 0 0 02 Jun 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 55 1 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 40 0 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 42 2 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 31 0 0 07 May 2024
DarkFed: A Data-Free Backdoor Attack in Federated Learning Minghui Li Wei Wan Yuxuan Ning Shengshan Hu Lulu Xue Leo Yu Zhang Yichen Wang FedML 32 5 0 06 May 2024
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency Yueqi Xie Minghong Fang Neil Zhenqiang Gong AAML 34 7 0 24 Apr 2024
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning Naveen Kumar Krishna Mohan Aravind Machiry AAML 36 1 0 05 Apr 2024
FedReview: A Review Mechanism for Rejecting Poisoned Updates in Federated Learning Tianhang Zheng Baochun Li FedML AAML 23 0 0 26 Feb 2024
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning Yu Jiang Jiyuan Shen Ziyao Liu Chee Wei Tan Kwok-Yan Lam AAML FedML 42 5 0 16 Jan 2024
SENet: Visual Detection of Online Social Engineering Attack Campaigns Irfan Ozen Karthika Subramani Phani Vadrevu R. Perdisci 41 2 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 33 2 0 19 Dec 2023
Data-Agnostic Model Poisoning against Federated Learning: A Graph Autoencoder Approach Kai Li Jingjing Zheng Xinnan Yuan W. Ni Ozgur B. Akan H. Vincent Poor AAML 24 15 0 30 Nov 2023
Eliminating Domain Bias for Federated Learning in Representation Space Jianqing Zhang Yang Hua Jian Cao Hao Wang Tao Song Zhengui Xue Ruhui Ma Haibing Guan FedML 76 33 0 25 Nov 2023
AGRAMPLIFIER: Defending Federated Learning Against Poisoning Attacks Through Local Update Amplification Zirui Gong Liyue Shen Yanjun Zhang Leo Yu Zhang Jingwei Wang Guangdong Bai Yong Xiang AAML 39 6 0 13 Nov 2023
A Survey on Federated Unlearning: Challenges, Methods, and Future Directions Ziyao Liu Yu Jiang Jiyuan Shen Minyi Peng Kwok-Yan Lam Xingliang Yuan Xiaoning Liu MU 34 44 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 36 10 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 33 4 0 15 Oct 2023
Sentinel: An Aggregation Function to Secure Decentralized Federated Learning Chao Feng Alberto Huertas Celdrán Janosch Baltensperger Enrique Tomás Martínez Beltrán Gérome Bovet Burkhard Stiller 41 6 0 12 Oct 2023