Neurotoxin: Durable Backdoors in Federated Learning

12 June 2022

Papers citing "Neurotoxin: Durable Backdoors in Federated Learning"

50 / 63 papers shown

Title
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
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 49 0 0 30 Mar 2025
BDPFL: Backdoor Defense for Personalized Federated Learning via Explainable Distillation Chengcheng Zhu J. Zhang Di Wu Guodong Long FedML AAML 48 0 0 09 Mar 2025
Multi-Target Federated Backdoor Attack Based on Feature Aggregation Lingguag Hao K. Hao Bing Wei Xue-song Tang FedML AAML 54 0 0 23 Feb 2025
Imitation Game for Adversarial Disillusion with Multimodal Generative Chain-of-Thought Role-Play Ching-Chun Chang Fan-Yun Chen Shih-Hong Gu Kai Gao Hanrui Wang Isao Echizen AAML 148 0 0 31 Jan 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
Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning Bohan Liu Yang Xiao Ruimeng Ye Zinan Ling Xiaolong Ma Bo Hui 42 0 0 28 Jan 2025
Bad-PFL: Exploring Backdoor Attacks against Personalized Federated Learning Mingyuan Fan Zhanyi Hu Fuyi Wang Cen Chen SILM 36 0 0 22 Jan 2025
Identify Backdoored Model in Federated Learning via Individual Unlearning Jiahao Xu Zikai Zhang Rui Hu FedML AAML 60 1 0 01 Nov 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
PFAttack: Stealthy Attack Bypassing Group Fairness in Federated Learning Jiashi Gao Ziwei Wang Xiangyu Zhao Xin Yao Xuetao Wei 20 0 0 09 Oct 2024
Mitigating Memorization In Language Models Mansi Sakarvadia Aswathy Ajith Arham Khan Nathaniel Hudson Caleb Geniesse Kyle Chard Yaoqing Yang Ian Foster Michael W. Mahoney KELM MU 53 0 0 03 Oct 2024
Infighting in the Dark: Multi-Label Backdoor Attack in Federated Learning Ye Li Yanchao Zhao Chengcheng Zhu Jiale Zhang AAML 28 0 0 29 Sep 2024
SHFL: Secure Hierarchical Federated Learning Framework for Edge Networks Omid Tavallaie Kanchana Thilakarathna Suranga Seneviratne Aruna Seneviratne Albert Y. Zomaya FedML 16 2 0 23 Sep 2024
SDBA: A Stealthy and Long-Lasting Durable Backdoor Attack in Federated Learning Minyeong Choe Cheolhee Park Changho Seo Hyunil Kim SILM AAML FedML 28 0 0 23 Sep 2024
Federated Learning for Smart Grid: A Survey on Applications and Potential Vulnerabilities Zikai Zhang Suman Rath Jiaohao Xu Tingsong Xiao 43 1 0 16 Sep 2024
Celtibero: Robust Layered Aggregation for Federated Learning Borja Molina-Coronado AAML 39 1 0 26 Aug 2024
Sample-Independent Federated Learning Backdoor Attack in Speaker Recognition Weida Xu Yang Xu Sicong Zhang FedML AAML 36 0 0 25 Aug 2024
SAB:A Stealing and Robust Backdoor Attack based on Steganographic Algorithm against Federated Learning Weida Xu Yang Xu Sicong Zhang AAML FedML 21 0 0 25 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 31 1 0 21 Jul 2024
UNIT: Backdoor Mitigation via Automated Neural Distribution Tightening Shuyang Cheng Guangyu Shen Kaiyuan Zhang Guanhong Tao Shengwei An Hanxi Guo Shiqing Ma Xiangyu Zhang AAML 23 0 0 16 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
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
Lurking in the shadows: Unveiling Stealthy Backdoor Attacks against Personalized Federated Learning Xiaoting Lyu Yufei Han Wei Wang Jingkai Liu Yongsheng Zhu Guangquan Xu Jiqiang Liu Xiangliang Zhang AAML FedML 49 6 0 10 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 47 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
Concealing Backdoor Model Updates in Federated Learning by Trigger-Optimized Data Poisoning Yujie Zhang Neil Zhenqiang Gong Michael K. Reiter FedML 40 1 0 10 May 2024
Teach LLMs to Phish: Stealing Private Information from Language Models Ashwinee Panda Christopher A. Choquette-Choo Zhengming Zhang Yaoqing Yang Prateek Mittal PILM 32 20 0 01 Mar 2024
BackdoorBench: A Comprehensive Benchmark and Analysis of Backdoor Learning Baoyuan Wu Hongrui Chen Mingda Zhang Zihao Zhu Shaokui Wei Danni Yuan Mingli Zhu Ruotong Wang Li Liu Chaoxiao Shen AAML ELM 63 9 0 26 Jan 2024
FedQV: Leveraging Quadratic Voting in Federated Learning Tianyue Chu Nikolaos Laoutaris FedML 16 2 0 02 Jan 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 47 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
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
Attacks of fairness in Federated Learning Joseph Rance Filip Svoboda FedML 34 1 0 21 Nov 2023
Honest Score Client Selection Scheme: Preventing Federated Learning Label Flipping Attacks in Non-IID Scenarios Yanli Li Huaming Chen Wei Bao Zhengmeng Xu Dong Yuan AAML 16 5 0 10 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 28 10 0 20 Oct 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
Protect Federated Learning Against Backdoor Attacks via Data-Free Trigger Generation Yanxin Yang Ming Hu Yue Cao Jun Xia Yihao Huang Yang Liu Mingsong Chen FedML 24 6 0 22 Aug 2023
Balancing Transparency and Risk: The Security and Privacy Risks of Open-Source Machine Learning Models Dominik Hintersdorf Lukas Struppek Kristian Kersting SILM 20 4 0 18 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
You Can Backdoor Personalized Federated Learning Tiandi Ye Cen Chen Yinggui Wang Xiang Li Ming Gao AAML FedML 31 4 0 29 Jul 2023
Heterogeneous Federated Learning: State-of-the-art and Research Challenges Mang Ye Xiuwen Fang Bo Du PongChi Yuen Dacheng Tao FedML AAML 36 244 0 20 Jul 2023
Privacy Inference-Empowered Stealthy Backdoor Attack on Federated Learning under Non-IID Scenarios Haochen Mei Gaolei Li Jun Wu Longfei Zheng SILM AAML 8 11 0 13 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
FedSecurity: Benchmarking Attacks and Defenses in Federated Learning and Federated LLMs Shanshan Han Baturalp Buyukates Zijian Hu Han Jin Weizhao Jin ... Qifan Zhang Yuhui Zhang Carlee Joe-Wong Salman Avestimehr Chaoyang He SILM 21 12 0 08 Jun 2023
Chameleon: Adapting to Peer Images for Planting Durable Backdoors in Federated Learning Yanbo Dai Songze Li FedML 13 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
BadVFL: Backdoor Attacks in Vertical Federated Learning Mohammad Naseri Yufei Han Emiliano De Cristofaro FedML AAML 24 11 0 18 Apr 2023
Backdoor Attacks and Defenses in Federated Learning: Survey, Challenges and Future Research Directions Thuy-Dung Nguyen Tuan Nguyen Phi Le Nguyen Hieu H. Pham Khoa D. Doan Kok-Seng Wong AAML FedML 32 56 0 03 Mar 2023