Privacy and Robustness in Federated Learning: Attacks and Defenses

7 December 2020

Lichao Sun

Jun Zhao

Qiang Yang

Philip S. Yu

FedML

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Papers citing "Privacy and Robustness in Federated Learning: Attacks and Defenses"

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Title
A Survey of Model Extraction Attacks and Defenses in Distributed Computing Environments Kaixiang Zhao Lincan Li Kaize Ding Neil Zhenqiang Gong Yue Zhao Yushun Dong AAML 47 0 0 22 Feb 2025
Secure Federated Data Distillation Marco Arazzi Mert Cihangiroglu S. Nicolazzo Antonino Nocera FedML DD 96 0 0 19 Feb 2025
Decentralized and Robust Privacy-Preserving Model Using Blockchain-Enabled Federated Deep Learning in Intelligent Enterprises Reza Fotohi Fereidoon Shams Aliee Bahar Farahani FedML 74 8 0 18 Feb 2025
FedEAT: A Robustness Optimization Framework for Federated LLMs Yahao Pang Xingyuan Wu Xiaojin Zhang Wei Chen Hai Jin FedML 79 0 0 17 Feb 2025
Privacy-Preserving Dataset Combination Keren Fuentes Mimee Xu Irene Chen 36 0 0 09 Feb 2025
Attribute Inference Attacks for Federated Regression Tasks Francesco Diana Othmane Marfoq Chuan Xu Giovanni Neglia F. Giroire Eoin Thomas AAML 163 1 0 19 Nov 2024
FedSlate:A Federated Deep Reinforcement Learning Recommender System Yongxin Deng Xihe Qiu Xiaoyu Tan Yaochu Jin FedML 88 0 0 23 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 31 0 0 10 Sep 2024
On ADMM in Heterogeneous Federated Learning: Personalization, Robustness, and Fairness Shengkun Zhu Jinshan Zeng Sheng Wang Yuan Sun Xiaodong Li Yuan Yao Zhiyong Peng 42 0 0 23 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 52 8 0 11 Jul 2024
Federated learning in food research Zuzanna Fendor Bas H. M. van der Velden Xinxin Wang Andrea Jr. Carnoli Osman Mutlu Ali Hürriyetoğlu FedML 33 0 0 10 Jun 2024
Federated Behavioural Planes: Explaining the Evolution of Client Behaviour in Federated Learning Dario Fenoglio Gabriele Dominici Pietro Barbiero Alberto Tonda M. Gjoreski Marc Langheinrich FedML 29 0 0 24 May 2024
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 28 31 0 27 Dec 2023
Communication Compression for Byzantine Robust Learning: New Efficient Algorithms and Improved Rates Ahmad Rammal Kaja Gruntkowska Nikita Fedin Eduard A. Gorbunov Peter Richtárik 35 5 0 15 Oct 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 26 10 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
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
When Foundation Model Meets Federated Learning: Motivations, Challenges, and Future Directions Weiming Zhuang Chen Chen Lingjuan Lyu C. L. P. Chen Yaochu Jin Lingjuan Lyu AIFin AI4CE 93 85 0 27 Jun 2023
Uncovering and Quantifying Social Biases in Code Generation Y. Liu Xiaokang Chen Yan Gao Zhe Su Fengji Zhang Daoguang Zan Jian-Guang Lou Pin-Yu Chen Tsung-Yi Ho 36 19 0 24 May 2023
PS-FedGAN: An Efficient Federated Learning Framework Based on Partially Shared Generative Adversarial Networks For Data Privacy Achintha Wijesinghe Songyang Zhang Zhi Ding FedML 24 7 0 19 May 2023
Policy Resilience to Environment Poisoning Attacks on Reinforcement Learning Hang Xu Xinghua Qu Zinovi Rabinovich 26 1 0 24 Apr 2023
A Survey on Secure and Private Federated Learning Using Blockchain: Theory and Application in Resource-constrained Computing Ervin Moore Ahmed Imteaj S. Rezapour M. Amini 27 18 0 24 Mar 2023
Model-Agnostic Federated Learning Gianluca Mittone Walter Riviera Iacopo Colonnelli Robert Birke Marco Aldinucci FedML 15 7 0 08 Mar 2023
ByzSecAgg: A Byzantine-Resistant Secure Aggregation Scheme for Federated Learning Based on Coded Computing and Vector Commitment Tayyebeh Jahani-Nezhad M. Maddah-ali Giuseppe Caire FedML 14 2 0 20 Feb 2023
FederatedTrust: A Solution for Trustworthy Federated Learning Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Ning Xie Gérome Bovet Gregorio Martínez Pérez Burkhard Stiller 30 21 0 20 Feb 2023
Delving into the Adversarial Robustness of Federated Learning Jie M. Zhang Bo-wen Li Chen Chen Lingjuan Lyu Shuang Wu Shouhong Ding Chao Wu FedML 32 34 0 19 Feb 2023
Cross-center Early Sepsis Recognition by Medical Knowledge Guided Collaborative Learning for Data-scarce Hospitals Ruiqing Ding Fang-Ning Rong Xiao Han Leye Wang 22 4 0 11 Feb 2023
Revisiting Personalized Federated Learning: Robustness Against Backdoor Attacks Zeyu Qin Liuyi Yao Daoyuan Chen Yaliang Li Bolin Ding Minhao Cheng FedML 35 25 0 03 Feb 2023
Does Federated Learning Really Need Backpropagation? H. Feng Tianyu Pang Chao Du Wei-Neng Chen Shuicheng Yan Min-Bin Lin FedML 26 10 0 28 Jan 2023
A Survey on Federated Recommendation Systems Zehua Sun Yonghui Xu Y. Liu Weiliang He Lanju Kong Fangzhao Wu Y. Jiang Li-zhen Cui FedML 24 60 0 27 Dec 2022
Federated Learning Attacks and Defenses: A Survey Yao Chen Yijie Gui Hong Lin Wensheng Gan Yongdong Wu FedML 38 29 0 27 Nov 2022
Dual Class-Aware Contrastive Federated Semi-Supervised Learning Qianling Guo Yong Qi Saiyu Qi Di Wu FedML 21 5 0 16 Nov 2022
Robust Distributed Learning Against Both Distributional Shifts and Byzantine Attacks Guanqiang Zhou Ping Xu Yue Wang Zhi Tian OOD FedML 23 4 0 29 Oct 2022
CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks Xuanli He Qiongkai Xu Yi Zeng Lingjuan Lyu Fangzhao Wu Jiwei Li R. Jia WaLM 183 71 0 19 Sep 2022
Federated and Transfer Learning: A Survey on Adversaries and Defense Mechanisms Ehsan Hallaji R. Razavi-Far M. Saif AAML FedML 19 13 0 05 Jul 2022
sqSGD: Locally Private and Communication Efficient Federated Learning Yan Feng Tao Xiong Ruofan Wu Lingjuan Lv Leilei Shi FedML 16 2 0 21 Jun 2022
Hypernetwork-based Personalized Federated Learning for Multi-Institutional CT Imaging Ziyuan Yang Wenjun Xia Zexin Lu Yingyu Chen Xiaoxia Li Yi Zhang FedML OOD 13 28 0 08 Jun 2022
CalFAT: Calibrated Federated Adversarial Training with Label Skewness Chen Chen Yuchen Liu Xingjun Ma Lingjuan Lyu FedML 161 32 0 30 May 2022
Recovering Private Text in Federated Learning of Language Models Samyak Gupta Yangsibo Huang Zexuan Zhong Tianyu Gao Kai Li Danqi Chen FedML 25 74 0 17 May 2022
Federated Multi-Armed Bandits Under Byzantine Attacks Artun Saday Ilker Demirel Yiğit Yıldırım Cem Tekin AAML 25 13 0 09 May 2022
Multi-Task Distributed Learning using Vision Transformer with Random Patch Permutation Sangjoon Park Jong Chul Ye FedML MedIm 39 19 0 07 Apr 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 18 9 0 19 Dec 2021
On the Convergence and Robustness of Adversarial Training Yisen Wang Xingjun Ma James Bailey Jinfeng Yi Bowen Zhou Quanquan Gu AAML 192 345 0 15 Dec 2021
Protecting Intellectual Property of Language Generation APIs with Lexical Watermark Xuanli He Qiongkai Xu Lingjuan Lyu Fangzhao Wu Chenguang Wang WaLM 172 94 0 05 Dec 2021
Anti-Backdoor Learning: Training Clean Models on Poisoned Data Yige Li X. Lyu Nodens Koren Lingjuan Lyu Bo-wen Li Xingjun Ma OnRL 6 320 0 22 Oct 2021
Securing Federated Learning: A Covert Communication-based Approach Yuan-ai Xie Jiawen Kang Dusit Niyato Nguyen Thi Thanh Van Nguyen Cong Luong Zhixin Liu Han Yu FedML 40 25 0 05 Oct 2021
Personalized Federated Learning for Heterogeneous Clients with Clustered Knowledge Transfer Yae Jee Cho Jianyu Wang Tarun Chiruvolu Gauri Joshi FedML 27 30 0 16 Sep 2021
DP-SIGNSGD: When Efficiency Meets Privacy and Robustness Lingjuan Lyu FedML AAML 20 19 0 11 May 2021
Federated Learning for Malware Detection in IoT Devices Valerian Rey Pedro Miguel Sánchez Sánchez Alberto Huertas Celdrán Gérome Bovet Martin Jaggi FedML 39 252 0 15 Apr 2021
Towards Personalized Federated Learning A. Tan Han Yu Li-zhen Cui Qiang Yang FedML AI4CE 209 840 0 01 Mar 2021