Papers citing 'iDLG: Improved Deep Leakage from Gradients'

Title
Adversarial Robustness in Distributed Quantum Machine Learning Pouya Kananian Hans-Arno Jacobsen OOD AAML 28 0 0 16 Aug 2025
Deciphering the Interplay between Attack and Protection Complexity in Privacy-Preserving Federated Learning Xiaojin Zhang Mingcong Xu Yiming Li Wei Chen Qiang Yang 12 0 0 16 Aug 2025
Label Inference Attacks against Federated Unlearning Wei Wang Xiangyun Tang Y. Wang Yijing Lin Tao Zhang Meng Shen Dusit Niyato Liehuang Zhu 20 0 0 09 Aug 2025
SelectiveShield: Lightweight Hybrid Defense Against Gradient Leakage in Federated Learning Borui Li Li Yan Jianmin Liu FedML 36 0 0 06 Aug 2025
Evaluating the Dynamics of Membership Privacy in Deep Learning Yuetian Chen Zhiqi Wang Nathalie Baracaldo S. Kadhe Lei Yu MIACV 70 0 0 31 Jul 2025
Hypernetworks for Model-Heterogeneous Personalized Federated Learning Chen Zhang Husheng Li Xiang Liu Linshan Jiang Danxin Wang FedML 38 0 0 30 Jul 2025
Uncovering Gradient Inversion Risks in Practical Language Model Training Xinguo Feng Zhongkui Ma Zihan Wang Eu Joe Chegne Mengyao Ma Alsharif Abuadbba Guangdong Bai 46 5 0 28 Jul 2025
Who Owns This Sample: Cross-Client Membership Inference Attack in Federated Graph Neural Networks K. Li Di Wu Jun Bai Jing Xu Lei Yang Ziyi Zhang Yiliao Song Wencheng Yang Taotao Cai Yan Li AAML FedML 44 0 0 26 Jul 2025
ImprovDML: Improved Trade-off in Private Byzantine-Resilient Distributed Machine Learning Bing Liu Chengcheng Zhao L. Chai Peng Cheng Yaonan Wang FedML 63 0 0 18 Jun 2025
Byzantine Outside, Curious Inside: Reconstructing Data Through Malicious Updates Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 90 0 0 13 Jun 2025
Secure Distributed Learning for CAVs: Defending Against Gradient Leakage with Leveled Homomorphic Encryption Muhammad Ali Najjar Ren-Yi Huang Dumindu Samaraweera Prashant Shekhar FedML 71 0 0 09 Jun 2025
DRAUN: An Algorithm-Agnostic Data Reconstruction Attack on Federated Unlearning Systems Hithem Lamri Manaar Alam Haiyan Jiang Michail Maniatakos MU 87 0 0 02 Jun 2025
Privacy-preserving Prompt Personalization in Federated Learning for Multimodal Large Language Models Sizai Hou Songze Li Baturalp Buyukates 95 1 0 28 May 2025
Label Leakage in Federated Inertial-based Human Activity Recognition Marius Bock Maximilian Hopp Kristof Van Laerhoven Michael Moeller AAML 120 0 0 27 May 2025
LAPA-based Dynamic Privacy Optimization for Wireless Federated Learning in Heterogeneous Environments Pengcheng Sun Erwu Liu Wei Ni Rui Wang Yuanzhe Geng Lijuan Lai Abbas Jamalipour 73 0 0 26 May 2025
EC-LDA : Label Distribution Inference Attack against Federated Graph Learning with Embedding Compression Tong Cheng Fu Jie Xinpeng Ling Huifa Li Zhili Chen AAML FedML 92 0 0 21 May 2025
Efficient Privacy-Preserving Cross-Silo Federated Learning with Multi-Key Homomorphic Encryption Abdullah Al Omar Xin Yang Euijin Choo Omid Ardakanian 75 0 0 20 May 2025
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning Francesco Diana André Nusser Chuan Xu Giovanni Neglia 97 0 0 15 May 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 117 0 0 08 Apr 2025
Secure Generalization through Stochastic Bidirectional Parameter Updates Using Dual-Gradient Mechanism Shourya Goel Himanshi Tibrewal Anant Jain Anshul Pundhir Pravendra Singh FedML 146 0 0 03 Apr 2025
On Model Protection in Federated Learning against Eavesdropping Attacks Dipankar Maity Kushal Chakrabarti FedML 143 1 0 02 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 91 1 0 26 Mar 2025
Empirical Calibration and Metric Differential Privacy in Language Models Pedro Faustini Natasha Fernandes Annabelle McIver Mark Dras 128 0 0 18 Mar 2025
Towards a Barrier-free GeoQA Portal: Natural Language Interaction with Geospatial Data Using Multi-Agent LLMs and Semantic Search Yu Feng Puzhen Zhang Guohui Xiao Linfang Ding Liqiu Meng AI4CE 165 0 0 18 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 142 0 0 17 Mar 2025
From Centralized to Decentralized Federated Learning: Theoretical Insights, Privacy Preservation, and Robustness Challenges Qiongxiu Li Wenrui Yu Yufei Xia Jun Pang FedML 125 4 0 10 Mar 2025
FedEM: A Privacy-Preserving Framework for Concurrent Utility Preservation in Federated Learning Mingcong Xu Xiaojin Zhang Wei Chen Hai Jin FedML 116 0 0 08 Mar 2025
GRAIN: Exact Graph Reconstruction from Gradients Maria Drencheva Ivo Petrov Maximilian Baader Dimitar I. Dimitrov Martin Vechev FedML 154 1 0 03 Mar 2025
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 96 5 0 22 Feb 2025
E-3SFC: Communication-Efficient Federated Learning with Double-way Features Synthesizing Yuhao Zhou Yuxin Tian Mingjia Shi Yuanxi Li Yanan Sun Qing Ye Jiancheng Lv 77 2 0 05 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 404 3 0 28 Jan 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning Nurbek Tastan Samuel Horváth Karthik Nandakumar FedML 150 1 0 21 Jan 2025
Fed-AugMix: Balancing Privacy and Utility via Data Augmentation HaoYang Li Wei Chen Xiaojin Zhang FedML 150 0 0 18 Dec 2024
Just a Simple Transformation is Enough for Data Protection in Vertical Federated Learning Andrei Semenov Philip Zmushko Alexander Pichugin Aleksandr Beznosikov 163 0 0 16 Dec 2024
Membership Inference Attacks and Defenses in Federated Learning: A Survey Li Bai Haibo Hu Qingqing Ye Haoyang Li Leixia Wang Jianliang Xu FedML 149 27 0 09 Dec 2024
Privacy-Preserving Federated Learning via Homomorphic Adversarial Networks Wenhan Dong Chao Lin Xinlei He Xinyi Huang Shengmin Xu PICV 147 0 0 02 Dec 2024
Gradient Inversion Attack on Graph Neural Networks Divya Anand Sinha Ruijie Du Yezi Liu Athina Markopolou Yanning Shen FedML 150 2 0 29 Nov 2024
Optimal Defenses Against Gradient Reconstruction Attacks Yuxiao Chen Gamze Gürsoy Qi Lei FedML AAML 117 0 0 06 Nov 2024
NeurIPS 2023 Competition: Privacy Preserving Federated Learning Document VQA Marlon Tobaben Mohamed Ali Souibgui Rubèn Pérez Tito Khanh Nguyen Raouf Kerkouche ... Josep Lladós Ernest Valveny Antti Honkela Mario Fritz Dimosthenis Karatzas FedML 136 0 0 06 Nov 2024
Gradient-Guided Conditional Diffusion Models for Private Image Reconstruction: Analyzing Adversarial Impacts of Differential Privacy and Denoising Tao Huang Jiayang Meng Hong Chen Guolong Zheng Xu Yang Xun Yi Hua Wang DiffM 86 2 0 05 Nov 2024
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses Isaac Baglin Xiatian Zhu Simon Hadfield FedML 132 1 0 05 Nov 2024
Federated Black-Box Adaptation for Semantic Segmentation Jay N. Paranjape S. Sikder S. Vedula Vishal M. Patel FedML 109 1 0 31 Oct 2024
Extracting Spatiotemporal Data from Gradients with Large Language Models Lele Zheng Yang Cao Renhe Jiang Kenjiro Taura Yulong Shen Sheng Li Masatoshi Yoshikawa 61 1 0 21 Oct 2024
Investigating Effective Speaker Property Privacy Protection in Federated Learning for Speech Emotion Recognition Chao Tan Sheng Li Yang Cao Zhao Ren Tanja Schultz 73 0 0 17 Oct 2024
Gradients Stand-in for Defending Deep Leakage in Federated Learning H. Yi H. Ren C. Hu Y. Li J. Deng Xin Xie FedML 68 0 0 11 Oct 2024
SoK: Towards Security and Safety of Edge AI Tatjana Wingarz Anne Lauscher Janick Edinger Dominik Kaaser Stefan Schulte Mathias Fischer 122 0 0 07 Oct 2024
Federated Learning Nodes Can Reconstruct Peers' Image Data Ethan Wilson Kai Yue Chau-Wai Wong H. Dai FedML 113 1 0 07 Oct 2024
Advances in Privacy Preserving Federated Learning to Realize a Truly Learning Healthcare System Ravi K. Madduri Zilinghan Li Tarak Nandi Kibaek Kim Minseok Ryu Alex Rodriguez 85 1 0 29 Sep 2024
Subject Data Auditing via Source Inference Attack in Cross-Silo Federated Learning Jiaxin Li Marco Arazzi Antonino Nocera Mauro Conti 85 2 0 28 Sep 2024
Privacy Attack in Federated Learning is Not Easy: An Experimental Study Hangyu Zhu Liyuan Huang Zhenping Xie FedML 85 1 0 28 Sep 2024