CRFL: Certifiably Robust Federated Learning against Backdoor Attacks

15 June 2021

Chulin Xie

Papers citing "CRFL: Certifiably Robust Federated Learning against Backdoor Attacks"

38 / 88 papers shown

Title
Multi-metrics adaptively identifies backdoors in Federated learning Siquan Huang Yijiang Li Chong Chen Leyu Shi Ying Gao AAML 43 19 0 12 Mar 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 40 56 0 03 Mar 2023
Fusion of Global and Local Knowledge for Personalized Federated Learning Tiansheng Huang Li Shen Yan Sun Weiwei Lin Dacheng Tao FedML 56 12 0 21 Feb 2023
A Survey of Trustworthy Federated Learning with Perspectives on Security, Robustness, and Privacy Yifei Zhang Dun Zeng Jinglong Luo Zenglin Xu Irwin King FedML 84 47 0 21 Feb 2023
BayBFed: Bayesian Backdoor Defense for Federated Learning Kavita Kumari Phillip Rieger Hossein Fereidooni Murtuza Jadliwala A. Sadeghi AAML FedML 31 33 0 23 Jan 2023
On the Vulnerability of Backdoor Defenses for Federated Learning Pei Fang Jinghui Chen FedML 22 30 0 19 Jan 2023
Backdoor Attacks Against Dataset Distillation Yugeng Liu Zheng Li Michael Backes Yun Shen Yang Zhang DD 42 28 0 03 Jan 2023
Recent Advances on Federated Learning: A Systematic Survey Bingyan Liu Nuoyan Lv Yuanchun Guo Yawen Li FedML 60 78 0 03 Jan 2023
Backdoor Cleansing with Unlabeled Data Lu Pang Tao Sun Haibin Ling Chao Chen AAML 37 18 0 22 Nov 2022
FLIP: A Provable Defense Framework for Backdoor Mitigation in Federated Learning Kaiyuan Zhang Guanhong Tao Qiuling Xu Shuyang Cheng Shengwei An ... Shiwei Feng Guangyu Shen Pin-Yu Chen Shiqing Ma Xiangyu Zhang FedML 42 52 0 23 Oct 2022
Chaos Theory and Adversarial Robustness Jonathan S. Kent AAML 26 0 0 20 Oct 2022
Dim-Krum: Backdoor-Resistant Federated Learning for NLP with Dimension-wise Krum-Based Aggregation Zhiyuan Zhang Qi Su Xu Sun FedML 26 12 0 13 Oct 2022
Invariant Aggregator for Defending against Federated Backdoor Attacks Xiaoya Wang Dimitrios Dimitriadis Oluwasanmi Koyejo Shruti Tople FedML 40 1 0 04 Oct 2022
FLCert: Provably Secure Federated Learning against Poisoning Attacks Xiaoyu Cao Zaixi Zhang Jinyuan Jia Neil Zhenqiang Gong FedML OOD 83 59 0 02 Oct 2022
Securing Federated Learning against Overwhelming Collusive Attackers Priyesh Ranjan Ashish Gupta Federico Coró Sajal K. Das FedML AAML 11 5 0 28 Sep 2022
Unraveling the Connections between Privacy and Certified Robustness in Federated Learning Against Poisoning Attacks Chulin Xie Yunhui Long Pin-Yu Chen Qinbin Li Arash Nourian Sanmi Koyejo Bo Li FedML 43 13 0 08 Sep 2022
Cerberus: Exploring Federated Prediction of Security Events Mohammad Naseri Yufei Han Enrico Mariconti Yun Shen Gianluca Stringhini Emiliano De Cristofaro FedML 45 14 0 07 Sep 2022
Long-Short History of Gradients is All You Need: Detecting Malicious and Unreliable Clients in Federated Learning Ashish Gupta Tie-Mei Luo Mao V. Ngo Sajal K. Das AAML FedML 37 13 0 14 Aug 2022
Collaboration in Participant-Centric Federated Learning: A Game-Theoretical Perspective Guangjing Huang Xu Chen Ouyang Tao Qian Ma Lin Chen Junshan Zhang FedML 17 30 0 25 Jul 2022
Combined Federated and Split Learning in Edge Computing for Ubiquitous Intelligence in Internet of Things: State of the Art and Future Directions Qiang Duan Shijing Hu Ruijun Deng Zhihui Lu FedML 31 61 0 20 Jul 2022
Neurotoxin: Durable Backdoors in Federated Learning Zhengming Zhang Ashwinee Panda Linyue Song Yaoqing Yang Michael W. Mahoney Joseph E. Gonzalez Kannan Ramchandran Prateek Mittal FedML 38 130 0 12 Jun 2022
Towards a Defense Against Federated Backdoor Attacks Under Continuous Training Shuai Wang J. Hayase Giulia Fanti Sewoong Oh FedML 26 5 0 24 May 2022
Robust Quantity-Aware Aggregation for Federated Learning Jingwei Yi Fangzhao Wu Huishuai Zhang Bin Zhu Tao Qi Guangzhong Sun Xing Xie FedML 29 2 0 22 May 2022
Sniper Backdoor: Single Client Targeted Backdoor Attack in Federated Learning Gorka Abad Servio Paguada Oguzhan Ersoy S. Picek Víctor Julio Ramírez-Durán A. Urbieta FedML 29 6 0 16 Mar 2022
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients Xiaoyu Cao Neil Zhenqiang Gong 20 108 0 16 Mar 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 54 42 0 18 Feb 2022
How to Backdoor HyperNetwork in Personalized Federated Learning? Phung Lai Nhathai Phan Issa M. Khalil Abdallah Khreishah Xintao Wu AAML FedML 33 0 0 18 Jan 2022
EIFFeL: Ensuring Integrity for Federated Learning A. Chowdhury Chuan Guo S. Jha L. V. D. van der Maaten FedML 77 73 0 23 Dec 2021
Certified Federated Adversarial Training Giulio Zizzo Ambrish Rawat M. Sinn S. Maffeis C. Hankin FedML 13 8 0 20 Dec 2021
Robust and Privacy-Preserving Collaborative Learning: A Comprehensive Survey Shangwei Guo Xu Zhang Feiyu Yang Tianwei Zhang Yan Gan Tao Xiang Yang Liu FedML 31 9 0 19 Dec 2021
SparseFed: Mitigating Model Poisoning Attacks in Federated Learning with Sparsification Ashwinee Panda Saeed Mahloujifar A. Bhagoji Supriyo Chakraborty Prateek Mittal FedML AAML 17 84 0 12 Dec 2021
On the Security & Privacy in Federated Learning Gorka Abad S. Picek Víctor Julio Ramírez-Durán A. Urbieta 44 11 0 10 Dec 2021
PRECAD: Privacy-Preserving and Robust Federated Learning via Crypto-Aided Differential Privacy Xiaolan Gu Ming Li Lishuang Xiong FedML 20 10 0 22 Oct 2021
Back to the Drawing Board: A Critical Evaluation of Poisoning Attacks on Production Federated Learning Virat Shejwalkar Amir Houmansadr Peter Kairouz Daniel Ramage AAML 39 213 0 23 Aug 2021
Privacy and Robustness in Federated Learning: Attacks and Defenses Lingjuan Lyu Han Yu Xingjun Ma Chen Chen Lichao Sun Jun Zhao Qiang Yang Philip S. Yu FedML 183 355 0 07 Dec 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 45 589 0 17 Jul 2020
RAB: Provable Robustness Against Backdoor Attacks Maurice Weber Xiaojun Xu Bojan Karlas Ce Zhang Bo-wen Li AAML 16 161 0 19 Mar 2020
Analyzing Federated Learning through an Adversarial Lens A. Bhagoji Supriyo Chakraborty Prateek Mittal S. Calo FedML 191 1,032 0 29 Nov 2018