DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection

3 January 2022

Phillip Rieger

Papers citing "DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection"

50 / 64 papers shown

Title
Toward Malicious Clients Detection in Federated Learning Zhihao Dou Jiaqi Wang Wei Sun Zhuqing Liu Minghong Fang AAML 26 0 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 37 0 0 22 Apr 2025
Robust Federated Learning Against Poisoning Attacks: A GAN-Based Defense Framework Usama Zafar André Teixeira Salman Toor FedML AAML 54 0 0 26 Mar 2025
Detecting Backdoor Attacks in Federated Learning via Direction Alignment Inspection Jiahao Xu Zikai Zhang Rui Hu AAML FedML Presented at ResearchTrend Connect \| FedML on 28 Mar 2025 145 0 0 11 Mar 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 77 0 0 24 Feb 2025
Provably Robust Federated Reinforcement Learning Minghong Fang Xilong Wang Neil Zhenqiang Gong FedML 65 0 0 12 Feb 2025
Do We Really Need to Design New Byzantine-robust Aggregation Rules? Minghong Fang Seyedsina Nabavirazavi Zhuqing Liu Wei Sun S. Iyengar Haibo Yang AAML OOD 76 6 0 29 Jan 2025
FedCLEAN: byzantine defense by CLustering Errors of Activation maps in Non-IID federated learning environments Mehdi Ben Ghali R. Bellafqira G. Coatrieux AAML FedML 43 0 0 21 Jan 2025
Gradient Purification: Defense Against Poisoning Attack in Decentralized Federated Learning Bin Li Xiaoye Miao Yongheng Shang Xinkui Zhao AAML 44 0 0 08 Jan 2025
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
Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu Zikai Zhang Rui Hu FedML AAML 60 1 0 01 Nov 2024
Meta Stackelberg Game: Robust Federated Learning against Adaptive and Mixed Poisoning Attacks Tao Li Henger Li Yunian Pan Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 26 5 0 22 Oct 2024
Adversarially Guided Stateful Defense Against Backdoor Attacks in Federated Deep Learning Hassan Ali Surya Nepal S. Kanhere S. Jha AAML FedML 24 1 0 15 Oct 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 34 0 0 29 Sep 2024
Celtibero: Robust Layered Aggregation for Federated Learning Borja Molina-Coronado AAML 39 1 0 26 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 34 1 0 21 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 28 1 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 54 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
Non-Cooperative Backdoor Attacks in Federated Learning: A New Threat Landscape Tuan Nguyen Dung Thuy Nguyen Khoa D. Doan Kok-Seng Wong AAML 31 1 0 05 Jul 2024
Venomancer: Towards Imperceptible and Target-on-Demand Backdoor Attacks in Federated Learning Son Nguyen Thinh Nguyen Khoa D. Doan Kok-Seng Wong FedML AAML 30 0 0 03 Jul 2024
A Whole-Process Certifiably Robust Aggregation Method Against Backdoor Attacks in Federated Learning Anqi Zhou Yezheng Liu Yidong Chai Hongyi Zhu Xinyue Ge Yuanchun Jiang Meng Wang AAML 49 0 0 30 Jun 2024
BadSampler: Harnessing the Power of Catastrophic Forgetting to Poison Byzantine-robust Federated Learning Yi Liu Cong Wang Xingliang Yuan AAML 47 2 0 18 Jun 2024
Linkage on Security, Privacy and Fairness in Federated Learning: New Balances and New Perspectives Linlin Wang Tianqing Zhu Wanlei Zhou Philip S. Yu 32 1 0 16 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 49 1 0 31 May 2024
BackdoorIndicator: Leveraging OOD Data for Proactive Backdoor Detection in Federated Learning Songze Li Yanbo Dai AAML FedML 30 7 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 38 0 0 21 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 22 5 0 06 May 2024
Precision Guided Approach to Mitigate Data Poisoning Attacks in Federated Learning Naveen Kumar Krishna Mohan Aravind Machiry AAML 34 1 0 05 Apr 2024
Data and Model Poisoning Backdoor Attacks on Wireless Federated Learning, and the Defense Mechanisms: A Comprehensive Survey Yichen Wan Youyang Qu Wei Ni Yong Xiang Longxiang Gao Ekram Hossain AAML 49 33 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 13 12 0 07 Dec 2023
Unveiling Backdoor Risks Brought by Foundation Models in Heterogeneous Federated Learning Xi Li Chen Henry Wu Jiaqi Wang AAML 53 5 0 30 Nov 2023
A Survey on Vulnerability of Federated Learning: A Learning Algorithm Perspective Xianghua Xie Chen Hu Hanchi Ren Jingjing Deng FedML AAML 29 19 0 27 Nov 2023
Backdoor Threats from Compromised Foundation Models to Federated Learning Xi Li Songhe Wang Chen Henry Wu Hao Zhou Jiaqi Wang 95 10 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 31 10 0 20 Oct 2023
FLEDGE: Ledger-based Federated Learning Resilient to Inference and Backdoor Attacks Jorge Castillo Phillip Rieger Hossein Fereidooni Qian Chen Ahmad Sadeghi FedML AAML 28 8 0 03 Oct 2023
Resisting Backdoor Attacks in Federated Learning via Bidirectional Elections and Individual Perspective Zhen Qin Feiyi Chen Chen Zhi Xueqiang Yan Shuiguang Deng AAML FedML 28 3 0 28 Sep 2023
SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks Zizhen Liu Weiyang He Chip-Hong Chang Jing Ye Huawei Li Xiaowei Li 29 4 0 19 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 23 1 0 31 Aug 2023
Self-Deception: Reverse Penetrating the Semantic Firewall of Large Language Models Zhenhua Wang Wei Xie Kai Chen Baosheng Wang Zhiwen Gui Enze Wang AAML SILM 20 6 0 16 Aug 2023
FLShield: A Validation Based Federated Learning Framework to Defend Against Poisoning Attacks Ehsanul Kabir Zeyu Song Md. Rafi Ur Rashid Shagufta Mehnaz 19 6 0 10 Aug 2023
Backdoor Federated Learning by Poisoning Backdoor-Critical Layers Haomin Zhuang Mingxian Yu Hao Wang Yang Hua Jian Li Xu Yuan FedML 24 9 0 08 Aug 2023
FLAIRS: FPGA-Accelerated Inference-Resistant & Secure Federated Learning Huimin Li Phillip Rieger S. Zeitouni S. Picek A. Sadeghi FedML 16 7 0 01 Aug 2023
A First Order Meta Stackelberg Method for Robust Federated Learning Yunian Pan Tao Li Henger Li Tianyi Xu Zizhan Zheng Quanyan Zhu FedML 29 10 0 23 Jun 2023
A First Order Meta Stackelberg Method for Robust Federated Learning (Technical Report) Henger Li Tianyi Xu Tao Li Yunian Pan Quanyan Zhu Zizhan Zheng AAML FedML 26 1 0 23 Jun 2023
G $^2$ uardFL: Safeguarding Federated Learning Against Backdoor Attacks through Attributed Client Graph Clustering Hao Yu Chuan Ma Meng Liu Tianyu Du Ming Ding Tao Xiang Shouling Ji Xinwang Liu AAML FedML 19 11 0 08 Jun 2023
Avoid Adversarial Adaption in Federated Learning by Multi-Metric Investigations T. Krauß Alexandra Dmitrienko AAML 19 4 0 06 Jun 2023
FedGrad: Mitigating Backdoor Attacks in Federated Learning Through Local Ultimate Gradients Inspection Thuy-Dung Nguyen Anh Duy Nguyen Kok-Seng Wong H. Pham T. Nguyen Phi Le Nguyen Truong Thao Nguyen FedML AAML 23 4 0 29 Apr 2023
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning Yanbo Dai Songze Li FedML 19 24 0 25 Apr 2023
Get Rid Of Your Trail: Remotely Erasing Backdoors in Federated Learning Manaar Alam Hithem Lamri Michail Maniatakos FedML AAML MU 19 14 0 20 Apr 2023