Deep Leakage from Gradients

21 June 2019

Ligeng Zhu

Zhijian Liu

Song Han

FedML

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Papers citing "Deep Leakage from Gradients"

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Title
Cutting Through Privacy: A Hyperplane-Based Data Reconstruction Attack in Federated Learning Francesco Diana André Nusser Chuan Xu Giovanni Neglia 27 0 0 15 May 2025
Approximated Behavioral Metric-based State Projection for Federated Reinforcement Learning Zengxia Guo Bohui An Zhongqi Lu FedML 22 0 0 15 May 2025
Dyn-D $^2$ P: Dynamic Differentially Private Decentralized Learning with Provable Utility Guarantee Zehan Zhu Yan Huang Xin Wang Shouling Ji Jinming Xu 26 0 0 10 May 2025
A Taxonomy of Attacks and Defenses in Split Learning Aqsa Shabbir Halil Ibrahim Kanpak Alptekin Küpçü Sinem Sav 48 0 0 09 May 2025
Adversarial Attacks in Multimodal Systems: A Practitioner's Survey Shashank Kapoor Sanjay Surendranath Girija Lakshit Arora Dipen Pradhan Ankit Shetgaonkar Aman Raj AAML 77 0 0 06 May 2025
Towards Trustworthy Federated Learning with Untrusted Participants Youssef Allouah R. Guerraoui John Stephan FedML 57 0 0 03 May 2025
LLM Security: Vulnerabilities, Attacks, Defenses, and Countermeasures Francisco Aguilera-Martínez Fernando Berzal PILM 55 0 0 02 May 2025
ReCIT: Reconstructing Full Private Data from Gradient in Parameter-Efficient Fine-Tuning of Large Language Models Jin Xie Ruishi He Songze Li Xiaojun Jia Shouling Ji SILM AAML 68 0 0 29 Apr 2025
Harmonizing Generalization and Personalization in Ring-topology Decentralized Federated Learning Shunxin Guo Jiaqi Lv Xin Geng 49 0 0 27 Apr 2025
A Numerical Gradient Inversion Attack in Variational Quantum Neural-Networks Georgios Papadopoulos Shaltiel Eloul Yash Satsangi Jamie Heredge Niraj Kumar Chun-Fu Chen Marco Pistoia 55 0 0 17 Apr 2025
Differentially Private 2D Human Pose Estimation Kaushik Bhargav Sivangi Idris Zakariyya Paul Henderson F. Deligianni 187 0 0 14 Apr 2025
Communication-Efficient and Personalized Federated Foundation Model Fine-Tuning via Tri-Matrix Adaptation Yong Li Bo Liu Sheng Huang Zhe Zhang Xiaotong Yuan Richang Hong 46 0 0 31 Mar 2025
PDSL: Privacy-Preserved Decentralized Stochastic Learning with Heterogeneous Data Distribution Lina Wang Yunsheng Yuan Chunxiao Wang Feng Li FedML 43 0 0 31 Mar 2025
Differential Privacy Personalized Federated Learning Based on Dynamically Sparsified Client Updates Chuanyin Wang Yifei Zhang Neng Gao Qiang Luo FedML 71 0 0 12 Mar 2025
Controlled privacy leakage propagation throughout overlapping grouped learning Shahrzad Kiani Franziska Boenisch S. Draper FedML 72 0 0 06 Mar 2025
Subgraph Federated Learning for Local Generalization Sungwon Kim Yoonho Lee Yunhak Oh Namkyeong Lee Sukwon Yun Junseok Lee Sein Kim Carl Yang Chanyoung Park FedML OOD 89 2 0 06 Mar 2025
Causality Is Key to Understand and Balance Multiple Goals in Trustworthy ML and Foundation Models Ruta Binkyte Ivaxi Sheth Zhijing Jin Mohammad Havaei Bernhard Schölkopf Mario Fritz 179 0 0 28 Feb 2025
Evaluating Membership Inference Attacks in heterogeneous-data setups Bram van Dartel Marc Damie Florian Hahn MIACV MIALM 240 0 0 26 Feb 2025
SMTFL: Secure Model Training to Untrusted Participants in Federated Learning Zhihui Zhao Xiaorong Dong Yimo Ren Jianhua Wang Dan Yu Hongsong Zhu Yongle Chen 86 0 0 24 Feb 2025
Guarding the Privacy of Label-Only Access to Neural Network Classifiers via iDP Verification Anan Kabaha Dana Drachsler-Cohen AAML 48 0 0 23 Feb 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 52 0 0 22 Feb 2025
FedMobile: Enabling Knowledge Contribution-aware Multi-modal Federated Learning with Incomplete Modalities Yi Liu Cong Wang Xingliang Yuan 42 1 0 20 Feb 2025
Secure Federated Data Distillation Marco Arazzi Mert Cihangiroglu S. Nicolazzo Antonino Nocera FedML DD 101 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 82 8 0 18 Feb 2025
Noise-Aware Algorithm for Heterogeneous Differentially Private Federated Learning Saber Malekmohammadi Yaoliang Yu Yang Cao FedML 88 5 0 17 Feb 2025
Ten Challenging Problems in Federated Foundation Models Tao Fan Hanlin Gu Xuemei Cao Chee Seng Chan Qian Chen ... Y. Zhang Xiaojin Zhang Zhenzhe Zheng Lixin Fan Qiang Yang FedML 89 4 0 14 Feb 2025
Privacy-Preserving Dataset Combination Keren Fuentes Mimee Xu Irene Chen 43 0 0 09 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 124 1 0 28 Jan 2025
CYCle: Choosing Your Collaborators Wisely to Enhance Collaborative Fairness in Decentralized Learning Nurbek Tastan Samuel Horváth Karthik Nandakumar FedML 69 0 0 21 Jan 2025
BlindFL: Segmented Federated Learning with Fully Homomorphic Encryption Evan Gronberg L. dÁliberti Magnus Saebo Aurora Hook FedML 51 0 0 20 Jan 2025
Lossless Privacy-Preserving Aggregation for Decentralized Federated Learning Xiaoye Miao Bin Li Yangyang Wu Meng Xi Xinkui Zhao 31 0 0 08 Jan 2025
NET-SA: An Efficient Secure Aggregation Architecture Based on In-Network Computing Qingqing Ren Wen Wang Shuyong Zhu Zhiyuan Wu Yujun Zhang 40 0 0 02 Jan 2025
FEDLAD: Federated Evaluation of Deep Leakage Attacks and Defenses Isaac Baglin Xiatian Zhu Simon Hadfield FedML 32 1 0 05 Nov 2024
Trustworthiness of Stochastic Gradient Descent in Distributed Learning Hongyang Li Caesar Wu Mohammed Chadli Said Mammar Pascal Bouvry 56 1 0 28 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 35 0 0 11 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 87 1 0 09 Oct 2024
FRIDA: Free-Rider Detection using Privacy Attacks Pol G. Recasens Ádám Horváth Alberto Gutierrez-Torre Jordi Torres Josep Ll. Berral Balázs Pejó FedML 33 0 0 07 Oct 2024
Risks When Sharing LoRA Fine-Tuned Diffusion Model Weights Dixi Yao 20 1 0 13 Sep 2024
Advancing Hybrid Defense for Byzantine Attacks in Federated Learning Kai Yue Richeng Jin Chau-Wai Wong H. Dai AAML 39 0 0 10 Sep 2024
Balancing Security and Accuracy: A Novel Federated Learning Approach for Cyberattack Detection in Blockchain Networks Tran Viet Khoa Mohammad Abu Alsheikh Yibeltal Alem D. Hoang FedML 31 3 0 08 Sep 2024
Diffusion-Driven Data Replay: A Novel Approach to Combat Forgetting in Federated Class Continual Learning Jinglin Liang Jin Zhong Hanlin Gu Zhongqi Lu Xingxing Tang Gang Dai Shuangping Huang Lixin Fan Qiang Yang DiffM 47 7 0 02 Sep 2024
Privacy Checklist: Privacy Violation Detection Grounding on Contextual Integrity Theory Haoran Li Wei Fan Yulin Chen Jiayang Cheng Tianshu Chu Xuebing Zhou Peizhao Hu Yangqiu Song AILaw 55 2 0 19 Aug 2024
At Least Factor-of-Two Optimization for RWLE-Based Homomorphic Encryption Jonathan Ly 22 0 0 14 Aug 2024
Federated Cubic Regularized Newton Learning with Sparsification-amplified Differential Privacy Wei Huo Changxin Liu Kemi Ding Karl H. Johansson Ling Shi FedML 43 0 0 08 Aug 2024
Universally Harmonizing Differential Privacy Mechanisms for Federated Learning: Boosting Accuracy and Convergence Shuya Feng Meisam Mohammady Hanbin Hong Shenao Yan Ashish Kundu Binghui Wang Yuan Hong FedML 44 3 0 20 Jul 2024
Feature Inference Attack on Shapley Values Xinjian Luo Yangfan Jiang X. Xiao AAML FAtt 46 19 0 16 Jul 2024
Partner in Crime: Boosting Targeted Poisoning Attacks against Federated Learning Shihua Sun Shridatt Sugrim Angelos Stavrou Haining Wang AAML 63 1 0 13 Jul 2024
Personalized federated learning based on feature fusion Wolong Xing Zhenkui Shi Hongyan Peng Xiantao Hu Xianxian Li FedML 39 0 0 24 Jun 2024
When Swarm Learning meets energy series data: A decentralized collaborative learning design based on blockchain Lei Xu Yulong Chen Yuntian Chen Longfeng Nie Xuetao Wei Liang Xue Dongxiao Zhang 27 0 0 07 Jun 2024
Marking the Pace: A Blockchain-Enhanced Privacy-Traceable Strategy for Federated Recommender Systems Zhen Cai Tao Tang Shuo Yu Yunpeng Xiao Feng Xia 45 1 0 07 Jun 2024