SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks

19 September 2023

Jing Ye

Papers citing "SPFL: A Self-purified Federated Learning Method Against Poisoning Attacks"

21 / 21 papers shown

Title
Streamlined Federated Unlearning: Unite as One to Be Highly Efficient Lei Zhou Youwen Zhu Qiao Xue Ji Zhang Pengfei Zhang MU 182 1 0 28 Nov 2024
FL-WBC: Enhancing Robustness against Model Poisoning Attacks in Federated Learning from a Client Perspective Jingwei Sun Ang Li Louis DiValentin Amin Hassanzadeh Yiran Chen H. Li FedML OOD AAML 136 79 0 26 Oct 2021
Explainability Matters: Backdoor Attacks on Medical Imaging Munachiso Nwadike Takumi Miyawaki Esha Sarkar Michail Maniatakos Farah E. Shamout AAML 47 14 0 30 Dec 2020
BaFFLe: Backdoor detection via Feedback-based Federated Learning Sébastien Andreina G. Marson Helen Möllering Ghassan O. Karame FedML 60 139 0 04 Nov 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 96 513 0 05 Jul 2020
Learning to Detect Malicious Clients for Robust Federated Learning Suyi Li Yong Cheng Wei Wang Yang Liu Tianjian Chen AAML FedML 109 225 0 01 Feb 2020
Robust Aggregation for Federated Learning Krishna Pillutla Sham Kakade Zaïd Harchaoui FedML 105 652 0 31 Dec 2019
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer Hong Chang Virat Shejwalkar Reza Shokri Amir Houmansadr FedML 80 168 0 24 Dec 2019
Advances and Open Problems in Federated Learning Peter Kairouz H. B. McMahan Brendan Avent A. Bellet M. Bennis ... Zheng Xu Qiang Yang Felix X. Yu Han Yu Sen Zhao FedML AI4CE 259 6,261 0 10 Dec 2019
Online Knowledge Distillation with Diverse Peers Defang Chen Jian-Ping Mei Can Wang Yan Feng Chun-Yen Chen FedML 70 301 0 01 Dec 2019
Local Model Poisoning Attacks to Byzantine-Robust Federated Learning Minghong Fang Xiaoyu Cao Jinyuan Jia Neil Zhenqiang Gong AAML OOD FedML 103 1,107 0 26 Nov 2019
Can You Really Backdoor Federated Learning? Ziteng Sun Peter Kairouz A. Suresh H. B. McMahan FedML 75 572 0 18 Nov 2019
Federated Learning with Differential Privacy: Algorithms and Performance Analysis Kang Wei Jun Li Ming Ding Chuan Ma Heng Yang Farokhi Farhad Shi Jin Tony Q.S. Quek H. Vincent Poor FedML 125 1,616 0 01 Nov 2019
Learning Lightweight Lane Detection CNNs by Self Attention Distillation Yuenan Hou Zheng Ma Chunxiao Liu Chen Change Loy 68 557 0 02 Aug 2019
Be Your Own Teacher: Improve the Performance of Convolutional Neural Networks via Self Distillation Linfeng Zhang Jiebo Song Anni Gao Jingwei Chen Chenglong Bao Kaisheng Ma FedML 76 861 0 17 May 2019
Parallel Restarted SGD with Faster Convergence and Less Communication: Demystifying Why Model Averaging Works for Deep Learning Hao Yu Sen Yang Shenghuo Zhu MoMe FedML 73 605 0 17 Jul 2018
Byzantine-Robust Distributed Learning: Towards Optimal Statistical Rates Dong Yin Yudong Chen Kannan Ramchandran Peter L. Bartlett OOD FedML 121 1,500 0 05 Mar 2018
BadNets: Identifying Vulnerabilities in the Machine Learning Model Supply Chain Tianyu Gu Brendan Dolan-Gavitt S. Garg SILM 127 1,772 0 22 Aug 2017
Deep Mutual Learning Ying Zhang Tao Xiang Timothy M. Hospedales Huchuan Lu FedML 151 1,653 0 01 Jun 2017
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based Localization Ramprasaath R. Selvaraju Michael Cogswell Abhishek Das Ramakrishna Vedantam Devi Parikh Dhruv Batra FAtt 321 20,023 0 07 Oct 2016
Stealing Machine Learning Models via Prediction APIs Florian Tramèr Fan Zhang Ari Juels Michael K. Reiter Thomas Ristenpart SILM MLAU 107 1,807 0 09 Sep 2016