Papers citing 'Provably Secure Federated Learning against Malicious Clients'

Title
Adversarial Node Placement in Decentralized Federated Learning: Maximum Spanning-Centrality Strategy and Performance AnalysisIEEE Internet of Things Journal (IEEE IoT J.), 2025 Adam Piaseczny Eric Ruzomberka Rohit Parasnis Christopher G. Brinton 106 0 0 10 Nov 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
Fine-grained Manipulation Attacks to Local Differential Privacy Protocols for Data Streams Xinyu Li Xuebin Ren Shusen Yang Liang Shi Chia-Mu Yu AAML 263 0 0 02 May 2025
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 143 0 0 22 Apr 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
SafeSplit: A Novel Defense Against Client-Side Backdoor Attacks in Split Learning (Full Version)Network and Distributed System Security Symposium (NDSS), 2025 Phillip Rieger Alessandro Pegoraro Kavita Kumari Tigist Abera Jonathan Knauer A. Sadeghi AAML 373 5 0 11 Jan 2025
A Unified Solution to Diverse Heterogeneities in One-shot Federated LearningKnowledge Discovery and Data Mining (KDD), 2024 Jun Bai Yiliao Song Di Wu Atul Sajjanhar Yong Xiang Wei Zhou Xiaohui Tao Yan Li Jian Wang FedML 275 2 0 28 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
Tackling Selfish Clients in Federated Learning Andrea Augello Ashish Gupta G. Re Sajal K. Das FedML 211 1 0 22 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 203 3 0 12 Jul 2024
Distributed Backdoor Attacks on Federated Graph Learning and Certified Defenses Yuxin Yang Qiang Li Jinyuan Jia Yuan Hong Binghui Wang AAML FedML 177 19 0 12 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 156 3 0 09 Jul 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 183 3 0 16 Jun 2024
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning Songze Li Yanbo Dai AAML FedML 192 17 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 146 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 195 5 0 19 May 2024
Model Poisoning Attacks to Federated Learning via Multi-Round Consistency Yueqi Xie Minghong Fang Neil Zhenqiang Gong AAML 183 20 0 24 Apr 2024
FCert: Certifiably Robust Few-Shot Classification in the Era of Foundation Models Yanting Wang Wei Zou Jinyuan Jia 185 3 0 12 Apr 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
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 256 4 0 05 Jan 2024
Predicting Infant Brain Connectivity with Federated Multi-Trajectory GNNs using Scarce Data Michalis Pistos Gang Li Weili Lin Dinggang Shen I. Rekik 207 1 0 01 Jan 2024
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive SurveyIEEE Communications Surveys and Tutorials (COMST), 2023 Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 222 70 0 14 Dec 2023
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 151 32 0 07 Dec 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 198 60 0 25 Nov 2023
The Impact of Adversarial Node Placement in Decentralized Federated Learning Networks Adam Piaseczny Eric Ruzomberka Rohit Parasnis Christopher G. Brinton FedML 209 2 0 14 Nov 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 183 18 0 20 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 120 12 0 28 Sep 2023
Mitigating Cross-client GANs-based Attack in Federated Learning Hong Huang Xinyu Lei Tao Xiang AAML 316 2 0 25 Jul 2023
Trustworthy Federated Learning: A Survey A. Tariq M. Serhani F. Sallabi Tariq Qayyum E. Barka K. Shuaib FedML 239 16 0 19 May 2023
DABS: Data-Agnostic Backdoor attack at the Server in Federated Learning Wenqiang Sun Sen Li Yuchang Sun Jun Zhang FedML AAML 44 0 0 02 May 2023
MDENet: Multi-modal Dual-embedding Networks for Malware Open-set Recognition Jingcai Guo Yuanyuan Xu Wenchao Xu Yufeng Zhan Yuxia Sun Song Guo 167 12 0 02 May 2023
An Experimental Study of Byzantine-Robust Aggregation Schemes in Federated LearningIEEE Transactions on Big Data (IEEE Trans. Big Data), 2023 Shenghui Li Edith C.H. Ngai Thiemo Voigt FedML AAML 139 81 0 14 Feb 2023
BayBFed: Bayesian Backdoor Defense for Federated LearningIEEE Symposium on Security and Privacy (IEEE S&P), 2023 Kavita Kumari Phillip Rieger Hossein Fereidooni Murtuza Jadliwala A. Sadeghi AAML FedML 191 41 0 23 Jan 2023
On the Vulnerability of Backdoor Defenses for Federated LearningAAAI Conference on Artificial Intelligence (AAAI), 2023 Pei Fang Jinghui Chen FedML 140 53 0 19 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
Resilience of Wireless Ad Hoc Federated Learning against Model Poisoning AttacksInternational Conference on Trust, Privacy and Security in Intelligent Systems and Applications (ICPSISA), 2022 Naoya Tezuka H. Ochiai Yuwei Sun Hiroshi Esaki AAML 114 5 0 07 Nov 2022
Addressing Heterogeneity in Federated Learning via Distributional TransformationEuropean Conference on Computer Vision (ECCV), 2022 Haolin Yuan Bo Hui Yuchen Yang Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao FedML OOD 132 14 0 26 Oct 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated LearningInternational Conference on Learning Representations (ICLR), 2022 Kaiyuan Zhang Guanhong Tao Qiuling Xu Shuyang Cheng Shengwei An ... Shiwei Feng Guangyu Shen Pin-Yu Chen Shiqing Ma Xiangyu Zhang FedML 183 66 0 23 Oct 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
CrowdGuard: Federated Backdoor Detection in Federated LearningNetwork and Distributed System Security Symposium (NDSS), 2022 Phillip Rieger T. Krauß Markus Miettinen Alexandra Dmitrienko Ahmad-Reza Sadeghi Technical University Darmstadt AAML FedML 215 33 0 14 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 309 76 0 02 Oct 2022
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning AttacksConference on Computer and Communications Security (CCS), 2022 Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 329 17 0 08 Sep 2022
Cerberus: Exploring Federated Prediction of Security EventsConference on Computer and Communications Security (CCS), 2022 Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 210 19 0 07 Sep 2022
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated LearningEuropean Symposium on Research in Computer Security (ESORICS), 2022 Ashish Gupta Tie-Mei Luo Mao V. Ngo Sajal K. Das AAML FedML 149 23 0 14 Aug 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future DirectionsItalian National Conference on Sensors (INS), 2022 Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 134 72 0 20 Jul 2022
FLDetector: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious ClientsKnowledge Discovery and Data Mining (KDD), 2022 Zaixi Zhang Xiaoyu Cao Jin Jia Neil Zhenqiang Gong AAML FedML 203 299 0 19 Jul 2022
Fine-grained Poisoning Attack to Local Differential Privacy Protocols for Mean and Variance EstimationUSENIX Security Symposium (USENIX Security), 2022 Xiaoguang Li Ninghui Li Wenhai Sun Neil Zhenqiang Gong Hui Li AAML 331 29 0 24 May 2022
CELEST: Federated Learning for Globally Coordinated Threat DetectionIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2022 Talha Ongun Simona Boboila Alina Oprea Tina Eliassi-Rad Jason Hiser Jack W. Davidson FedML 267 8 0 23 May 2022