Can You Really Backdoor Federated Learning?

18 November 2019

Papers citing "Can You Really Backdoor Federated Learning?"

50 / 107 papers shown

Title
PASS: A Parameter Audit-based Secure and Fair Federated Learning Scheme against Free-Rider Attack Jianhua Wang Xiaolin Chang J. Misic Vojislav B. Mišić Yixiang Wang 26 7 0 15 Jul 2022
FL-Defender: Combating Targeted Attacks in Federated Learning N. Jebreel J. Domingo-Ferrer AAML FedML 43 57 0 02 Jul 2022
Is Multi-Modal Necessarily Better? Robustness Evaluation of Multi-modal Fake News Detection Jinyin Chen Chengyu Jia Haibin Zheng Ruoxi Chen Chenbo Fu AAML 24 10 0 17 Jun 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 40 130 0 12 Jun 2022
PerDoor: Persistent Non-Uniform Backdoors in Federated Learning using Adversarial Perturbations Manaar Alam Esha Sarkar Michail Maniatakos AAML FedML 34 8 0 26 May 2022
VeriFi: Towards Verifiable Federated Unlearning Xiangshan Gao Xingjun Ma Jingyi Wang Youcheng Sun Bo Li S. Ji Peng Cheng Jiming Chen MU 73 46 0 25 May 2022
Byzantine-Robust Federated Learning with Optimal Statistical Rates and Privacy Guarantees Banghua Zhu Lun Wang Qi Pang Shuai Wang Jiantao Jiao D. Song Michael I. Jordan FedML 98 30 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 38 2 0 22 May 2022
Backdoor Attacks in Federated Learning by Rare Embeddings and Gradient Ensembling Kiyoon Yoo Nojun Kwak SILM AAML FedML 25 19 0 29 Apr 2022
Semi-Targeted Model Poisoning Attack on Federated Learning via Backward Error Analysis Yuwei Sun H. Ochiai Jun Sakuma AAML FedML 43 15 0 22 Mar 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 31 6 0 16 Mar 2022
MPAF: Model Poisoning Attacks to Federated Learning based on Fake Clients Xiaoyu Cao Neil Zhenqiang Gong 26 108 0 16 Mar 2022
Low-Loss Subspace Compression for Clean Gains against Multi-Agent Backdoor Attacks Siddhartha Datta N. Shadbolt AAML 32 6 0 07 Mar 2022
Identifying Backdoor Attacks in Federated Learning via Anomaly Detection Yuxi Mi Yiheng Sun Jihong Guan Shuigeng Zhou AAML FedML 19 1 0 09 Feb 2022
Securing Federated Sensitive Topic Classification against Poisoning Attacks Tianyue Chu Álvaro García-Recuero Costas Iordanou Georgios Smaragdakis Nikolaos Laoutaris 51 9 0 31 Jan 2022
Backdoors Stuck At The Frontdoor: Multi-Agent Backdoor Attacks That Backfire Siddhartha Datta N. Shadbolt AAML 41 7 0 28 Jan 2022
FedComm: Federated Learning as a Medium for Covert Communication Dorjan Hitaj Giulio Pagnotta Briland Hitaj Fernando Perez-Cruz L. Mancini FedML 32 10 0 21 Jan 2022
Survey on Federated Learning Threats: concepts, taxonomy on attacks and defences, experimental study and challenges Nuria Rodríguez-Barroso Daniel Jiménez López M. V. Luzón Francisco Herrera Eugenio Martínez-Cámara FedML 37 213 0 20 Jan 2022
DeepSight: Mitigating Backdoor Attacks in Federated Learning Through Deep Model Inspection Phillip Rieger T. D. Nguyen Markus Miettinen A. Sadeghi FedML AAML 41 152 0 03 Jan 2022
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 85 0 12 Dec 2021
Batch Label Inference and Replacement Attacks in Black-Boxed Vertical Federated Learning Yang Liu Tianyuan Zou Yan Kang Wenhan Liu Yuanqin He Zhi-qian Yi Qian Yang FedML AAML 19 19 0 10 Dec 2021
The Impact of Data Distribution on Fairness and Robustness in Federated Learning Mustafa Safa Ozdayi Murat Kantarcioglu FedML OOD 24 4 0 29 Nov 2021
Anomaly Localization in Model Gradients Under Backdoor Attacks Against Federated Learning Z. Bilgin FedML AAML 24 1 0 29 Nov 2021
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 36 77 0 26 Oct 2021
Combining Differential Privacy and Byzantine Resilience in Distributed SGD R. Guerraoui Nirupam Gupta Rafael Pinot Sébastien Rouault John Stephan FedML 43 4 0 08 Oct 2021
Federated Learning from Small Datasets Michael Kamp Jonas Fischer Jilles Vreeken FedML 32 26 0 07 Oct 2021
DeSMP: Differential Privacy-exploited Stealthy Model Poisoning Attacks in Federated Learning Md Tamjid Hossain Shafkat Islam S. Badsha Haoting Shen AAML 55 41 0 21 Sep 2021
An Operator Splitting View of Federated Learning Saber Malekmohammadi Kiarash Shaloudegi Zeou Hu Yaoliang Yu FedML 31 2 0 12 Aug 2021
Byzantine-robust Federated Learning through Spatial-temporal Analysis of Local Model Updates Zhuohang Li Luyang Liu Jiaxin Zhang Jian-Dong Liu FedML OOD AAML 35 10 0 03 Jul 2021
CRFL: Certifiably Robust Federated Learning against Backdoor Attacks Chulin Xie Minghao Chen Pin-Yu Chen Bo-wen Li FedML 36 165 0 15 Jun 2021
From Distributed Machine Learning to Federated Learning: A Survey Ji Liu Jizhou Huang Yang Zhou Xuhong Li Shilei Ji Haoyi Xiong Dejing Dou FedML OOD 56 244 0 29 Apr 2021
SPECTRE: Defending Against Backdoor Attacks Using Robust Statistics J. Hayase Weihao Kong Raghav Somani Sewoong Oh AAML 29 150 0 22 Apr 2021
Federated Learning with Taskonomy for Non-IID Data Hadi Jamali Rad Mohammad Abdizadeh Anuj Singh FedML 48 54 0 29 Mar 2021
Blockchain-Based Federated Learning in Mobile Edge Networks with Application in Internet of Vehicles Rui-cang Wang Heju Li Erwu Liu 29 11 0 01 Mar 2021
Meta Federated Learning Omid Aramoon Pin-Yu Chen Gang Qu Yuan Tian AAML FedML 20 13 0 10 Feb 2021
Federated Learning: Opportunities and Challenges P. Mammen FedML 61 212 0 14 Jan 2021
FLAME: Taming Backdoors in Federated Learning (Extended Version 1) T. D. Nguyen Phillip Rieger Huili Chen Hossein Yalame Helen Mollering ... Azalia Mirhoseini S. Zeitouni F. Koushanfar A. Sadeghi T. Schneider AAML 32 26 0 06 Jan 2021
Dataset Security for Machine Learning: Data Poisoning, Backdoor Attacks, and Defenses Micah Goldblum Dimitris Tsipras Chulin Xie Xinyun Chen Avi Schwarzschild D. Song A. Madry Bo-wen Li Tom Goldstein SILM 32 271 0 18 Dec 2020
Learning from History for Byzantine Robust Optimization Sai Praneeth Karimireddy Lie He Martin Jaggi FedML AAML 30 174 0 18 Dec 2020
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 183 357 0 07 Dec 2020
An Exploratory Analysis on Users' Contributions in Federated Learning Jiyue Huang Rania Talbi Zilong Zhao S. Bouchenak L. Chen Stefanie Roos FedML 26 30 0 13 Nov 2020
One-Shot Federated Learning with Neuromorphic Processors Kenneth Stewart Yanqi Gu FedML 16 2 0 01 Nov 2020
Mitigating Backdoor Attacks in Federated Learning Chen Wu Xian Yang Sencun Zhu P. Mitra FedML AAML 28 104 0 28 Oct 2020
Mitigating Sybil Attacks on Differential Privacy based Federated Learning Yupeng Jiang Yong Li Yipeng Zhou Xi Zheng FedML AAML 29 15 0 20 Oct 2020
Byzantine-Resilient Secure Federated Learning Jinhyun So Başak Güler A. Avestimehr FedML 19 238 0 21 Jul 2020
Backdoor Attacks and Countermeasures on Deep Learning: A Comprehensive Review Yansong Gao Bao Gia Doan Zhi-Li Zhang Siqi Ma Jiliang Zhang Anmin Fu Surya Nepal Hyoungshick Kim AAML 36 221 0 21 Jul 2020
Backdoor Learning: A Survey Yiming Li Yong Jiang Zhifeng Li Shutao Xia AAML 45 592 0 17 Jul 2020
Data Poisoning Attacks Against Federated Learning Systems Vale Tolpegin Stacey Truex Mehmet Emre Gursoy Ling Liu FedML 31 640 0 16 Jul 2020
Reflection Backdoor: A Natural Backdoor Attack on Deep Neural Networks Yunfei Liu Xingjun Ma James Bailey Feng Lu AAML 22 505 0 05 Jul 2020