Evaluating Gradient Inversion Attacks and Defenses in Federated Learning

30 November 2021

Papers citing "Evaluating Gradient Inversion Attacks and Defenses in Federated Learning"

50 / 143 papers shown

Title
ICAFS: Inter-Client-Aware Feature Selection for Vertical Federated Learning Ruochen Jin Boning Tong Shu Yang Bojian Hou Li Shen 28 0 0 15 Apr 2025
PEEL the Layers and Find Yourself: Revisiting Inference-time Data Leakage for Residual Neural Networks Huzaifa Arif K. Murugesan Payel Das Alex Gittens Pin-Yu Chen AAML 31 0 0 08 Apr 2025
TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models Caspar Meijer Jiyue Huang Shreshtha Sharma Elena Lazovik Lydia Y. Chen AI4TS 39 0 0 26 Mar 2025
Defending Against Gradient Inversion Attacks for Biomedical Images via Learnable Data Perturbation Shiyi Jiang F. Firouzi Krishnendu Chakrabarty AAML MedIm 41 0 0 19 Mar 2025
FedSDP: Explainable Differential Privacy in Federated Learning via Shapley Values Yunbo Li Jiaping Gui Yue Wu FedML 58 1 0 17 Mar 2025
PAUSE: Low-Latency and Privacy-Aware Active User Selection for Federated Learning Ori Peleg Natalie Lang Stefano Rini Nir Shlezinger Kobi Cohen FedML 53 0 0 17 Mar 2025
Accelerating MoE Model Inference with Expert Sharding Oana Balmau Anne-Marie Kermarrec Rafael Pires André Loureiro Espírito Santo M. Vos Milos Vujasinovic MoE 66 0 0 11 Mar 2025
CAPT: Class-Aware Prompt Tuning for Federated Long-Tailed Learning with Vision-Language Model Shihao Hou Xinyi Shang Shreyank N Gowda Yang Lu Chao-Xiang Wu Yan Yan Hanzi Wang VLM 58 0 0 10 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 57 1 0 10 Mar 2025
Towards Trustworthy Federated Learning Alina Basharat Yijun Bian Ping Xu Z. Tian FedML 67 0 0 05 Mar 2025
A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks Haoyang Li Li Bai Qingqing Ye Haibo Hu Yaxin Xiao Huadi Zheng Jianliang Xu 66 0 0 26 Feb 2025
Dual Defense: Enhancing Privacy and Mitigating Poisoning Attacks in Federated Learning Runhua Xu Shiqi Gao Chao Li J. Joshi Jianxin Li 45 2 0 08 Feb 2025
CENSOR: Defense Against Gradient Inversion via Orthogonal Subspace Bayesian Sampling Kaiyuan Zhang Siyuan Cheng Guangyu Shen Bruno Ribeiro Shengwei An Pin-Yu Chen Xinming Zhang Ninghui Li 102 1 0 28 Jan 2025
Towards Distributed Backdoor Attacks with Network Detection in Decentralized Federated Learning Bohan Liu Yang Xiao Ruimeng Ye Zinan Ling Xiaolong Ma Bo Hui 47 0 0 28 Jan 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption Evan Gronberg L. dÁliberti Magnus Saebo Aurora Hook FedML 46 0 0 20 Jan 2025
Tazza: Shuffling Neural Network Parameters for Secure and Private Federated Learning Kichang Lee Jaeho Jin JaeYeon Park Jeonggil Ko JeongGil Ko FedML 72 0 0 10 Dec 2024
Intermediate Outputs Are More Sensitive Than You Think Tao Huang Qingyu Huang Jiayang Meng AAML 70 1 0 01 Dec 2024
On the Reconstruction of Training Data from Group Invariant Networks Ran Elbaz Gilad Yehudai Meirav Galun Haggai Maron 71 0 0 25 Nov 2024
Trustworthiness of Stochastic Gradient Descent in Distributed Learning Hongyang Li Caesar Wu Mohammed Chadli Said Mammar Pascal Bouvry 48 1 0 28 Oct 2024
Subword Embedding from Bytes Gains Privacy without Sacrificing Accuracy and Complexity Mengjiao Zhang Jia Xu FedML 19 0 0 21 Oct 2024
FedHide: Federated Learning by Hiding in the Neighbors Hyunsin Park Sungrack Yun FedML 26 0 0 12 Sep 2024
DFDG: Data-Free Dual-Generator Adversarial Distillation for One-Shot Federated Learning Kangyang Luo Shuai Wang Y. Fu Renrong Shao Xiang Li Yunshi Lan Ming Gao Jinlong Shu FedML 41 2 0 12 Sep 2024
Exploring User-level Gradient Inversion with a Diffusion Prior Zhuohang Li Andrew Lowy Jing Liu T. Koike-Akino Bradley Malin K. Parsons Ye Wang DiffM 41 0 0 11 Sep 2024
$S^2$ NeRF: Privacy-preserving Training Framework for NeRF Bokang Zhang Yanglin Zhang Zhikun Zhang Jinglan Yang Lingying Huang Junfeng Wu 51 2 0 03 Sep 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
FedMADE: Robust Federated Learning for Intrusion Detection in IoT Networks Using a Dynamic Aggregation Method Shihua Sun Pragya Sharma Kenechukwu Nwodo Angelos Stavrou Haining Wang 37 2 0 13 Aug 2024
Reconstructing Training Data From Real World Models Trained with Transfer Learning Yakir Oz Gilad Yehudai Gal Vardi Itai Antebi Michal Irani Niv Haim 38 2 0 22 Jul 2024
Mjolnir: Breaking the Shield of Perturbation-Protected Gradients via Adaptive Diffusion Xuan Liu Siqi Cai Qihua Zhou Song Guo Ruibin Li Kaiwei Lin DiffM AAML 29 1 0 07 Jul 2024
Update Selective Parameters: Federated Machine Unlearning Based on Model Explanation Heng Xu Tianqing Zhu Lefeng Zhang Wanlei Zhou Philip S. Yu FedML MU 35 5 0 18 Jun 2024
Knowledge Distillation in Federated Learning: a Survey on Long Lasting Challenges and New Solutions Laiqiao Qin Tianqing Zhu Wanlei Zhou Philip S. Yu 43 5 0 16 Jun 2024
CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning Sana Ayromlou Teresa S. M. Tsang Purang Abolmaesumi Xiaoxiao Li CLL 32 2 0 09 Jun 2024
P4: Towards private, personalized, and Peer-to-Peer learning Mohammad Maheri S. Siby Sina Abdollahi Anastasia Borovykh Hamed Haddadi 26 0 0 27 May 2024
A Systematic Review of Federated Generative Models Ashkan Vedadi Gargary Emiliano De Cristofaro AI4CE 38 2 0 26 May 2024
Overcoming Data and Model Heterogeneities in Decentralized Federated Learning via Synthetic Anchors Chun-Yin Huang Kartik Srinivas Xin Zhang Xiaoxiao Li DD 58 6 0 19 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
Feature-based Federated Transfer Learning: Communication Efficiency, Robustness and Privacy Feng Wang M. C. Gursoy Senem Velipasalar 43 0 0 15 May 2024
Prospects of Privacy Advantage in Quantum Machine Learning Jamie Heredge Niraj Kumar Dylan Herman Shouvanik Chakrabarti Romina Yalovetzky Shree Hari Sureshbabu Changhao Li Marco Pistoia 31 4 0 14 May 2024
IPFed: Identity protected federated learning for user authentication Yosuke Kaga Yusei Suzuki Kenta Takahashi FedML 18 1 0 07 May 2024
GI-SMN: Gradient Inversion Attack against Federated Learning without Prior Knowledge Jin Qian Kaimin Wei Yongdong Wu Jilian Zhang Jipeng Chen Huan Bao 39 1 0 06 May 2024
Goldfish: An Efficient Federated Unlearning Framework Houzhe Wang Xiaojie Zhu Chi Chen Paulo Esteves-Verissimo FedML MU 37 3 0 04 Apr 2024
Leak and Learn: An Attacker's Cookbook to Train Using Leaked Data from Federated Learning Joshua C. Zhao Ahaan Dabholkar Atul Sharma Saurabh Bagchi FedML 30 2 0 26 Mar 2024
Heterogeneous Federated Learning with Splited Language Model Yifan Shi Yuhui Zhang Ziyue Huang Xiaofeng Yang Li Shen Wei Chen Xueqian Wang FedML 32 1 0 24 Mar 2024
Adaptive Hybrid Masking Strategy for Privacy-Preserving Face Recognition Against Model Inversion Attack Yinggui Wang Yuanqing Huang Jianshu Li Le Yang Kai Song Lei Wang AAML PICV 53 0 0 14 Mar 2024
SPriFed-OMP: A Differentially Private Federated Learning Algorithm for Sparse Basis Recovery Ajinkya Kiran Mulay Xiaojun Lin 26 0 0 29 Feb 2024
Data Reconstruction Attacks and Defenses: A Systematic Evaluation Sheng Liu Zihan Wang Yuxiao Chen Qi Lei AAML MIACV 61 4 0 13 Feb 2024
Federated Learning Priorities Under the European Union Artificial Intelligence Act Herbert Woisetschläger Alexander Erben Bill Marino Shiqiang Wang Nicholas D. Lane R. Mayer Hans-Arno Jacobsen 28 15 0 05 Feb 2024
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks Yanbo Wang Jian Liang Ran He AAML 19 5 0 05 Feb 2024
Federated Learning with New Knowledge: Fundamentals, Advances, and Futures Lixu Wang Yang Zhao Jiahua Dong Ating Yin Qinbin Li Tianlin Li Dusit Niyato Qi Zhu FedML 79 2 0 03 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks Lulu Xue Shengshan Hu Rui-Qing Zhao Leo Yu Zhang Shengqing Hu Lichao Sun Dezhong Yao AAML 11 2 0 30 Jan 2024