Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging

11 September 2019

Papers citing "Byzantine-Robust Federated Machine Learning through Adaptive Model Averaging"

50 / 78 papers shown

Title
DSFL: A Dual-Server Byzantine-Resilient Federated Learning Framework via Group-Based Secure Aggregation Charuka Herath Y. Rahulamathavan Varuna De Silva S. Lambotharan FedML 88 1 0 10 Sep 2025
Don't Reach for the Stars: Rethinking Topology for Resilient Federated Learning Mirko Konstantin Anirban Mukhopadhyay FedML 160 11 0 07 Aug 2025
Defending the Edge: Representative-Attention Defense against Backdoor Attacks in Federated Learning Chibueze Peace Obioma Youcheng Sun Mustafa A. Mustafa AAML 193 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 305 2 0 14 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 159 0 0 22 Apr 2025
Multi-Target Federated Backdoor Attack Based on Feature AggregationPattern Recognition (Pattern Recogn.), 2025 Lingguag Hao K. Hao Bing Wei Xue-song Tang FedML AAML 340 0 0 23 Feb 2025
Do We Really Need to Design New Byzantine-robust Aggregation Rules?Network and Distributed System Security Symposium (NDSS), 2025 Minghong Fang Seyedsina Nabavirazavi Zhuqing Liu Wei Sun S. Iyengar Haibo Yang AAML OOD 354 16 0 29 Jan 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 401 5 0 11 Jan 2025
Client Contribution Normalization for Enhanced Federated LearningIEEE India Conference (INDICON), 2024 Mayank Kumar Kundalwal Anurag Saraswat Ishan Mishra Deepak Mishra FedML 176 0 0 10 Nov 2024
Byzantine-Robust Federated Learning: An Overview With Focus on Developing Sybil-based Attacks to Backdoor Augmented Secure Aggregation Protocols Atharv Deshmukh AAML FedML 177 1 0 30 Oct 2024
Achieving Byzantine-Resilient Federated Learning via Layer-Adaptive Sparsified Model AggregationIEEE Workshop/Winter Conference on Applications of Computer Vision (WACV), 2024 Jiahao Xu Zikai Zhang Rui Hu 233 10 0 02 Sep 2024
Heterogeneity: An Open Challenge for Federated On-board Machine Learning Maria Hartmann Grégoire Danoy Pascal Bouvry FedML 183 0 0 13 Aug 2024
Mitigating Malicious Attacks in Federated Learning via Confidence-aware Defense Qilei Li A. Abdelmoniem FedML AAML 148 0 0 05 Aug 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 269 1 0 21 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 185 13 0 11 Jul 2024
Threats and Defenses in Federated Learning Life Cycle: A Comprehensive Survey and Challenges Yanli Li Zhongliang Guo Nan Yang Huaming Chen Dong Yuan Weiping Ding FedML 261 15 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 215 3 0 16 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 275 52 0 14 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 291 6 0 31 May 2024
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning Songze Li Yanbo Dai AAML FedML 204 18 0 31 May 2024
Trust Driven On-Demand Scheme for Client Deployment in Federated Learning M. Chahoud Azzam Mourad Hadi Otrok Jamal Bentahar Mohsen Guizani 128 4 0 01 May 2024
Aggressive or Imperceptible, or Both: Network Pruning Assisted Hybrid Byzantines in Federated Learning Emre Ozfatura Kerem Ozfatura Alptekin Kupcu Deniz Gunduz AAML 174 0 0 09 Apr 2024
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks Yichang Xu Ming Yin Minghong Fang Neil Zhenqiang Gong OOD FedML 216 13 0 05 Mar 2024
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 175 34 0 07 Dec 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
Federated Learning: A Cutting-Edge Survey of the Latest Advancements and ApplicationsComputer Communications (Comput. Commun.), 2023 Azim Akhtarshenas Mohammad Ali Vahedifar Navid Ayoobi B. Maham Tohid Alizadeh Sina Ebrahimi David López-Pérez FedML 196 17 0 08 Oct 2023
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor AttacksAsia-Pacific Computer Systems Architecture Conference (ACSA), 2023 Jorge Castillo Phillip Rieger Hossein Fereidooni Qian Chen Ahmad Sadeghi FedML AAML 137 9 0 03 Oct 2023
Adversarial Client Detection via Non-parametric Subspace Monitoring in the Internet of Federated ThingsIISE Transactions (IISE Trans.), 2023 Xianjian Xie Xiaochen Xian Dan Li Andi Wang 134 0 0 02 Oct 2023
SPFL: A Self-purified Federated Learning Method Against Poisoning AttacksIEEE Transactions on Information Forensics and Security (IEEE TIFS), 2023 Zizhen Liu Weiyang He Chip-Hong Chang Jing Ye Huawei Li Xiaowei Li 198 10 0 19 Sep 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 134 22 0 10 Aug 2023
A Four-Pronged Defense Against Byzantine Attacks in Federated LearningACM Multimedia (ACM MM), 2023 Wei Wan Shengshan Hu Minghui Li Jianrong Lu Longling Zhang Leo Yu Zhang Hai Jin AAML FedML 206 32 0 07 Aug 2023
Fedward: Flexible Federated Backdoor Defense Framework with Non-IID DataIEEE International Conference on Multimedia and Expo (ICME), 2023 Zekai Chen Fuyi Wang Zhiwei Zheng Ximeng Liu Yujie Lin FedML AAML 220 4 0 01 Jul 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 232 6 0 06 Jun 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 258 17 0 21 Apr 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 89 0 03 Mar 2023
Mitigating Backdoors in Federated Learning with FLD Yi-Wen Lin Pengyuan Zhou Zhiqian Wu Yong Liao FedML 97 2 0 01 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 344 62 0 21 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated LearningFuture generations computer systems (FGCS), 2023 Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 217 34 0 20 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 211 43 0 23 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 161 35 0 13 Dec 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 235 36 0 14 Oct 2022
A Secure Federated Learning Framework for Residential Short Term Load ForecastingIEEE Transactions on Smart Grid (IEEE Trans. Smart Grid), 2022 Muhammad Akbar Husnoo A. Anwar N. Hosseinzadeh S. Islam A. N. Mahmood R. Doss 206 47 0 29 Sep 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 154 73 0 20 Jul 2022
Using Anomaly Detection to Detect Poisoning Attacks in Federated Learning Applications Ali Raza Shujun Li K. Tran L. Koehl Kim Duc Tran AAML 331 7 0 18 Jul 2022
Defending against the Label-flipping Attack in Federated Learning N. Jebreel J. Domingo-Ferrer David Sánchez Alberto Blanco-Justicia AAML 133 45 0 05 Jul 2022
Blades: A Unified Benchmark Suite for Byzantine Attacks and Defenses in Federated LearningInternational Conference on Internet-of-Things Design and Implementation (IoTDI), 2022 Shenghui Li Edith C.H. Ngai Fanghua Ye Li Ju Tianru Zhang Thiemo Voigt AAML FedML 298 15 0 10 Jun 2022
A Survey of Graph-Theoretic Approaches for Analyzing the Resilience of Networked Control Systems Mohammad Pirani A. Mitra S. Sundaram AI4CE 148 10 0 25 May 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 317 64 0 18 Feb 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challengesInformation Fusion (Inf. Fusion), 2022 Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 181 277 0 20 Jan 2022
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model InspectionNetwork and Distributed System Security Symposium (NDSS), 2022 Phillip Rieger T. D. Nguyen Markus Miettinen A. Sadeghi FedML AAML 245 195 0 03 Jan 2022