Gradient Obfuscation Gives a False Sense of Security in Federated Learning

8 June 2022

Chau-Wai Wong

Papers citing "Gradient Obfuscation Gives a False Sense of Security in Federated Learning"

36 / 36 papers shown

Title
Securing Genomic Data Against Inference Attacks in Federated Learning Environments Chetan Pathade Shubham Patil 26 0 0 12 May 2025
Empirical Calibration and Metric Differential Privacy in Language Models Pedro Faustini Natasha Fernandes Annabelle McIver Mark Dras 65 0 0 18 Mar 2025
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning Mingcong Xu Xiaojin Zhang Wei Chen Hai Jin FedML 46 0 0 08 Mar 2025
NET-SA: An Efficient Secure Aggregation Architecture Based on In-Network Computing Qingqing Ren Wen Wang Shuyong Zhu Zhiyuan Wu Yujun Zhang 37 0 0 02 Jan 2025
Federated Learning Nodes Can Reconstruct Peers' Image Data Ethan Wilson Kai Yue Chau-Wai Wong H. Dai FedML 27 1 0 07 Oct 2024
Analyzing Inference Privacy Risks Through Gradients in Machine Learning Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino K. Parsons Bradley Malin Ye Wang FedML 38 1 0 29 Aug 2024
Privacy Threats and Countermeasures in Federated Learning for Internet of Things: A Systematic Review Adel ElZemity Budi Arief 28 2 0 25 Jul 2024
Enhancing Security and Privacy in Federated Learning using Low-Dimensional Update Representation and Proximity-Based Defense Wenjie Li K. Fan Jingyuan Zhang Hui Li Wei Yang Bryan Lim Qiang Yang AAML FedML 40 0 0 29 May 2024
Leakage-Resilient and Carbon-Neutral Aggregation Featuring the Federated AI-enabled Critical Infrastructure Zehang Deng Ruoxi Sun Minhui Xue Sheng Wen S. Çamtepe Surya Nepal Yang Xiang 39 1 0 24 May 2024
Dealing Doubt: Unveiling Threat Models in Gradient Inversion Attacks under Federated Learning, A Survey and Taxonomy Yichuan Shi Olivera Kotevska Viktor Reshniak Abhishek Singh Ramesh Raskar AAML 43 1 0 16 May 2024
Secure Aggregation Meets Sparsification in Decentralized Learning Sayan Biswas Anne-Marie Kermarrec Rafael Pires Rishi Sharma Milos Vujasinovic 38 0 0 13 May 2024
Beyond Noise: Privacy-Preserving Decentralized Learning with Virtual Nodes Sayan Biswas Mathieu Even Anne-Marie Kermarrec Laurent Massoulie Rafael Pires Rishi Sharma M. Vos 43 3 0 15 Apr 2024
Learn What You Want to Unlearn: Unlearning Inversion Attacks against Machine Unlearning Hongsheng Hu Shuo Wang Tian Dong Minhui Xue AAML 35 18 0 04 Apr 2024
Robust Federated Learning Mitigates Client-side Training Data Distribution Inference Attacks Yichang Xu Ming Yin Minghong Fang Neil Zhenqiang Gong OOD FedML 36 6 0 05 Mar 2024
Edge Detectors Can Make Deep Convolutional Neural Networks More Robust Jin Ding Jie-Chao Zhao Yong-zhi Sun Ping Tan Jia-Wei Wang Ji-en Ma You-tong Fang AAML 47 2 0 26 Feb 2024
TernaryVote: Differentially Private, Communication Efficient, and Byzantine Resilient Distributed Optimization on Heterogeneous Data Richeng Jin Yujie Gu Kai Yue Xiaofan He Zhaoyang Zhang Huaiyu Dai FedML 20 0 0 16 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 28 2 0 05 Jan 2024
A Comprehensive Survey of Attack Techniques, Implementation, and Mitigation Strategies in Large Language Models Aysan Esmradi Daniel Wankit Yip C. Chan AAML 38 11 0 18 Dec 2023
Improving the Robustness of Transformer-based Large Language Models with Dynamic Attention Lujia Shen Yuwen Pu Shouling Ji Changjiang Li Xuhong Zhang Chunpeng Ge Ting Wang AAML 21 3 0 29 Nov 2023
PriPrune: Quantifying and Preserving Privacy in Pruned Federated Learning Tianyue Chu Mengwei Yang Nikolaos Laoutaris A. Markopoulou 34 4 0 30 Oct 2023
PA-iMFL: Communication-Efficient Privacy Amplification Method against Data Reconstruction Attack in Improved Multi-Layer Federated Learning Jianhua Wang Xiaolin Chang Jelena Mivsić Vojislav B. Mivsić Zhi Chen Junchao Fan 39 2 0 25 Sep 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 21 26 0 15 Sep 2023
Hiding in Plain Sight: Disguising Data Stealing Attacks in Federated Learning Kostadin Garov Dimitar I. Dimitrov Nikola Jovanović Martin Vechev AAML FedML 34 7 0 05 Jun 2023
A Privacy Preserving System for Movie Recommendations Using Federated Learning David Neumann Andreas Lutz Karsten Müller Wojciech Samek 18 10 0 07 Mar 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
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Mingyuan Fan Cen Chen Chengyu Wang Ximeng Liu Wenmeng Zhou Jun Huang AAML FedML 34 0 0 05 Dec 2022
Fishing for User Data in Large-Batch Federated Learning via Gradient Magnification Yuxin Wen Jonas Geiping Liam H. Fowl Micah Goldblum Tom Goldstein FedML 86 92 0 01 Feb 2022
Location Leakage in Federated Signal Maps Evita Bakopoulou Justin Ley Jiang Zhang Konstantinos Psounis A. Markopoulou FedML 20 5 0 07 Dec 2021
Federated Deep Learning with Bayesian Privacy Hanlin Gu Lixin Fan Bowen Li Jie Li Yan Kang Yuan Yao Qiang Yang FedML 85 24 0 27 Sep 2021
MixNN: Protection of Federated Learning Against Inference Attacks by Mixing Neural Network Layers A. Boutet Thomas LeBrun Jan Aalmoes Adrien Baud FedML 55 17 0 26 Sep 2021
A Field Guide to Federated Optimization Jianyu Wang Zachary B. Charles Zheng Xu Gauri Joshi H. B. McMahan ... Mi Zhang Tong Zhang Chunxiang Zheng Chen Zhu Wennan Zhu FedML 187 411 0 14 Jul 2021
Do Not Let Privacy Overbill Utility: Gradient Embedding Perturbation for Private Learning Da Yu Huishuai Zhang Wei Chen Tie-Yan Liu FedML SILM 94 110 0 25 Feb 2021
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 202 434 0 04 Mar 2020
FedPAQ: A Communication-Efficient Federated Learning Method with Periodic Averaging and Quantization Amirhossein Reisizadeh Aryan Mokhtari Hamed Hassani Ali Jadbabaie Ramtin Pedarsani FedML 174 760 0 28 Sep 2019
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,450 0 21 Nov 2016