Bayesian Framework for Gradient Leakage

8 November 2021

Martin Vechev

Papers citing "Bayesian Framework for Gradient Leakage"

27 / 27 papers shown

Title
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 64 0 0 26 Feb 2025
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 28 0 0 11 Sep 2024
Understanding Data Reconstruction Leakage in Federated Learning from a Theoretical Perspective Zifan Wang Binghui Zhang Meng Pang Yuan Hong Binghui Wang FedML 36 0 0 22 Aug 2024
Efficient Byzantine-Robust and Provably Privacy-Preserving Federated Learning Chenfei Nie Qiang Li Yuxin Yang Yuede Ji Binghui Wang 40 1 0 29 Jul 2024
BACON: Bayesian Optimal Condensation Framework for Dataset Distillation Zheng Zhou Hong Zhao Guangliang Cheng Xiangtai Li Shuchang Lyu Wenquan Feng Qi Zhao DD 47 0 0 03 Jun 2024
Seeing the Forest through the Trees: Data Leakage from Partial Transformer Gradients Weijun Li Qiongkai Xu Mark Dras PILM 32 1 0 03 Jun 2024
SPEAR:Exact Gradient Inversion of Batches in Federated Learning Dimitar I. Dimitrov Maximilian Baader Mark Niklas Muller Martin Vechev FedML 18 5 0 06 Mar 2024
Inf2Guard: An Information-Theoretic Framework for Learning Privacy-Preserving Representations against Inference Attacks Sayedeh Leila Noorbakhsh Binghui Zhang Yuan Hong Binghui Wang AAML 23 8 0 04 Mar 2024
Data Reconstruction Attacks and Defenses: A Systematic Evaluation Sheng Liu Zihan Wang Yuxiao Chen Qi Lei AAML MIACV 59 4 0 13 Feb 2024
Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks Yanbo Wang Jian Liang R. He AAML 14 5 0 05 Feb 2024
GI-PIP: Do We Require Impractical Auxiliary Dataset for Gradient Inversion Attacks? Yu Sun Gaojian Xiong Xianxun Yao Kailang Ma Jian Cui 18 3 0 22 Jan 2024
From Principle to Practice: Vertical Data Minimization for Machine Learning Robin Staab Nikola Jovanović Mislav Balunović Martin Vechev 34 5 0 17 Nov 2023
Understanding Deep Gradient Leakage via Inversion Influence Functions Haobo Zhang Junyuan Hong Yuyang Deng M. Mahdavi Jiayu Zhou FedML 59 6 0 22 Sep 2023
Expressive variational quantum circuits provide inherent privacy in federated learning Niraj Kumar Jamie Heredge Changhao Li Shaltiel Eloul Shree Hari Sureshbabu Marco Pistoia FedML 54 8 0 22 Sep 2023
Privacy Preserving Federated Learning with Convolutional Variational Bottlenecks Daniel Scheliga Patrick Mäder M. Seeland FedML AAML 18 5 0 08 Sep 2023
Privacy and Fairness in Federated Learning: on the Perspective of Trade-off Huiqiang Chen Tianqing Zhu Tao Zhang Wanlei Zhou Philip S. Yu FedML 27 43 0 25 Jun 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
Surrogate Model Extension (SME): A Fast and Accurate Weight Update Attack on Federated Learning Junyi Zhu Ruicong Yao Matthew B. Blaschko FedML 8 9 0 31 May 2023
Reconstructing Training Data from Model Gradient, Provably Zihan Wang Jason D. Lee Qi Lei FedML 14 24 0 07 Dec 2022
Refiner: Data Refining against Gradient Leakage Attacks in Federated Learning Mingyuan Fan Cen Chen Chengyu Wang Ximeng Liu Wenmeng Zhou Jun Huang AAML FedML 32 0 0 05 Dec 2022
TabLeak: Tabular Data Leakage in Federated Learning Mark Vero Mislav Balunović Dimitar I. Dimitrov Martin Vechev FedML 21 7 0 04 Oct 2022
Accelerated Federated Learning with Decoupled Adaptive Optimization Jiayin Jin Jiaxiang Ren Yang Zhou Lingjuan Lyu Ji Liu Dejing Dou AI4CE FedML 19 51 0 14 Jul 2022
Data Leakage in Federated Averaging Dimitar I. Dimitrov Mislav Balunović Nikola Konstantinov Martin Vechev FedML 14 28 0 24 Jun 2022
A Survey on Gradient Inversion: Attacks, Defenses and Future Directions Rui Zhang Song Guo Junxiao Wang Xin Xie Dacheng Tao 27 36 0 15 Jun 2022
Gradient Obfuscation Gives a False Sense of Security in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong D. Baron H. Dai FedML 26 46 0 08 Jun 2022
Trusted AI in Multi-agent Systems: An Overview of Privacy and Security for Distributed Learning Chuan Ma Jun Li Kang Wei Bo Liu Ming Ding Long Yuan Zhu Han H. Vincent Poor 47 42 0 18 Feb 2022
LAMP: Extracting Text from Gradients with Language Model Priors Mislav Balunović Dimitar I. Dimitrov Nikola Jovanović Martin Vechev 11 56 0 17 Feb 2022