Backdoor Attacks in Federated Learning

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  1. DecoyTrace: Toxic Decoys for Active Defense in Decentralized Federated Learning

    Sep 28, 2026Pedro Beltrán-López, Enrique Tomás Martínez Beltrán, Pantaleone Nespoli +2Byzantine-Robust Federated LearningBackdoor Attacks in Federated Learning

    Department of Information and Communication Engineering, University of Murcia, Murcia, 30100, Spain

  2. Fine-grained Distributed Backdoor Attacks in Federated Learning

    Sep 7, 2026Jian Wang, Hong Shen, Wei Ke +1Backdoor Attacks in Federated LearningFederated Learning

    Faculty of Applied Sciences, Macao Polytechnic University, R. de Luís Gonzaga Gomes, Macao, 999078, China · Faculty of Cyberspace Security, Guangzhou University of Software, No.548 Guangcong South Road, High-tech Industrial Park, Conghua Economic Development Zone, Guangzhou, 501900, China · School of Engineering and Technology, Central Queensland University, Bruce Highway, Norman Gardens, Rockhampton, Queensland, 4702, Australia +1

  3. Backdoors Leave Structural Traces: FedMAST for Backdoor Detection and Containment in Federated Learning

    Sep 4, 2026Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul IslamFederated Learning AggregationByzantine-Robust Federated Learning

    Department of Computer Science Kennesaw State University Marietta, USA

  4. CACTUS: Mask-Guided Semantic Clean-Label Backdoors in Decentralized Federated Learning

    Sep 2, 2026Chao Feng, Burkhard StillerBackdoor AttacksBackdoor Attacks in Federated Learning

    Communication Systems Group, Department of Informatics University of Zurich, Switzerland

  5. Understanding Backdoor Vulnerabilities in Vertical Federated Learning: The Gap Between Research and Practice

    Aug 13, 2026Ziqi Zhao, Jialin Lu, Junjie Shan +3Backdoor AttacksBackdoor Attacks in Federated Learning

    School of Computing and Data Science, The University of Hong Kong, Hong Kong SAR, China

  6. Analysis of Federated Aggregation under Model Poisoning and Backdoor Attacks: A Reconstructed Cross-Dataset and Cross-Architecture Benchmark

    Aug 11, 2026Soumya Mazumdar, Vineet Kumar Rakesh, Tapas SamantaFederated Learning AggregationByzantine-Robust Federated Learning

    Department of Computer Science and Business Systems Gargi Memorial Institute of Technology Affiliated to Maulana Abul Kalam Azad University of Technology Balarampur, Mouza Beralia, Baruipur, Kolkata 700144, West Bengal, India · Computer and Informatics Group, Variable Energy Cyclotron Centre 1/AF, Bidhannagar, Kolkata 700064, West Bengal, India · Engineering Sciences, Homi Bhabha National Institute Anushaktinagar, Mumbai, Maharashtra 400094, India

  7. Bypassing Krum: Selection-Aware Backdoor Attacks in Federated Learning

    Aug 6, 2026Srinivasan Subramanian, Md. Abdullah Al Hafiz Khan, Kazi Aminul IslamFederated Learning AggregationByzantine-Robust Federated Learning

    Department of Computer Science Kennesaw State University Marietta, USA

  8. Robust and Personalized Federated Learning for Aircraft-Engine Prognostics under Benign and Adversarial Client Heterogeneity

    Aug 4, 2026Chinmoy Mitra, Md. Mehedi Hasan Nipu, Mohammad Sakib Mahmood +2Federated Learning AggregationRUL Estimation

    Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Kazla, Rajshahi, 6204, Bangladesh · Department of Electrical and Computer Engineering, North South University, Dhaka 1229, Bangladesh. · Department of Computer Science, Missouri State University, Springfield, MO, 65809, USA. +2

  9. TriShield: Zero-Utility-Loss Defense Against Privacy Backdoors in Federated Language Model Fine-Tuning via Orthogonal Gradient Projection and Optimizer State Entanglement

    Jul 30, 2026Cheng WeiBackdoor AttacksBackdoor Attacks in Federated Learning

    Honor Device Co., Ltd., Shenzhen, China

  10. Defending Against Backdoor Attacks via Alignment Checking in Model-Contrastive Federated Learning

    Jul 29, 2026Hongliang Zhang, Zhongyuan Yu, Guijuan Wang +4Federated Learning AggregationByzantine-Robust Federated Learning

    Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), Jinan, 250353, China · College of computer science and technology, China University of Petroleum, Qingdao, 266580, China · School of Computer Science and Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China

  11. FedLSG: LLM-Enhanced Semantic Calibration for Federated Graph Backdoor Defense

    Jul 22, 2026Chenyu Zhou, Yabin Peng, Wei Huang +3Graph Neural NetworksBackdoor Attacks

    Southeast University Purple Mountain Laboratories · Institute of AI for Industries Chinese Academy of Sciences · Purple Mountain Laboratories

  12. Color Matters: Trigger Color Affects Success in Federated Backdoor Attacks

    Jun 24, 2026Kavindu Herath, Joshua C. Zhao, Saurabh BagchiBackdoor AttacksBackdoor Attacks in Federated Learning

    Department of Electrical and Computer Engineering, Purdue University, West Lafayette, USA

  13. SCRUB-FL: Sanitizing and Cleansing Representations via Unlearning of Backdoors

    Jun 21, 2026Osama Wehbi, Sarhad Arisdakessian, Omar Abdel Wahab +2Backdoor Attacks in Federated LearningFederated Learning

    Department of Computer and Software Engineering, Polytechnique Montréal, Montreal, Quebec, Canada · Department of Computer Science, Khalifa University, Abu Dhabi, UAE

  14. Your Privacy My Cloak: Backdoor Attacks on Differentially Private Federated Learning

    Jun 15, 2026Xiaolin Li, Ning Wang, Ninghui Li +1Backdoor Attacks in Federated LearningDifferentially Private Federated Learning

    Purdue University West Lafayette, IN, USA · University of South Florida Tampa, FL, USA

  15. Model Poisoning Against Federated Model Adaptation with Chain of Bit-Flips

    Jun 8, 2026Bastien Vuillod, Kevin Hector, Pierre-Alain Moellic +2Adversarial AttacksBackdoor Attacks in Federated Learning

    CEA-Leti, Mines Saint-Etienne, Equipe Commune SAS, F-13541 Gardanne, France · Mines Saint-Etienne, CEA-Leti, Centre CMP, Equipe commune SAS, F-13541 Gardanne, France

  16. Can Quantum Federated Learning Withstand Circuit-Level Backdoors?

    May 18, 2026Aakar Mathur, Mohammed Ruknuddin, Ashish GuptaBackdoor Attacks in Federated LearningQuantum Machine Learning

    BITS Pilani Dubai Campus, Dubai, UAE

  17. FedSurrogate: Backdoor Defense in Federated Learning via Layer Criticality and Surrogate Replacement

    May 11, 2026Fatima Z. Abacha, Sin G. Teo, Yuanxiang Wu +2Backdoor AttacksBackdoor Attacks in Federated Learning

    The University of Manchester, UK · Institute for Infocomm Research, A*STAR, Singapore · Monash University, Australia +1

  18. Unveiling Hidden Threats: Using Fractal Triggers to Boost Stealthiness of Distributed Backdoor Attacks in Federated Learning

    Nov 12, 2025Jian Wang, Hong Shen, Chan-Tong LamAdversarial AttacksBackdoor Attacks in Federated Learning

    Faculty of Applied Sciences, Macao Polytechnic University, Macao SAR, China · School of Cyberspace Security, Guangzhou University of Software, Guangzhou, China · School of Engineering and Technology, Central Queensland University, Australia

  19. FLAT: Revealing Hidden Latent-Conditioned Backdoor Failures in Federated Learning

    Aug 6, 2025Tuan Nguyen, Sze Jue Yang, Khoa D. Doan +2Backdoor Attacks in Federated LearningFederated Learning

    College of Engineering and Computer Science, VinUniversity, Hanoi, Vietnam · VinUni-Illinois Smart Health Center, VinUniversity, Hanoi, Vietnam · Siebel School of Computing and Data Science, University of Illinois Urbana-Champaign, Urbana, IL, USA +1