Membership Inference Attacks against Machine Learning Models

18 October 2016

Papers citing "Membership Inference Attacks against Machine Learning Models"

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Title
FedMIA: An Effective Membership Inference Attack Exploiting "All for One" Principle in Federated Learning Gongxi Zhu Donghao Li Hanlin Gu Yuxing Han Yuan Yao Lixin Fan 47 2 0 09 Feb 2024
Private Knowledge Sharing in Distributed Learning: A Survey Yasas Supeksala Dinh C. Nguyen Ming Ding Thilina Ranbaduge Calson Chua Jun Zhang Jun Li H. Vincent Poor 49 0 0 08 Feb 2024
Adversarial Robustness Through Artifact Design Tsufit Shua Mahmood Sharif AAML 32 0 0 07 Feb 2024
Domain Bridge: Generative model-based domain forensic for black-box models Jiyi Zhang Hansheng Fang Ee-Chien Chang 19 0 0 07 Feb 2024
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data Yvonne Zhou Mingyu Liang Ivan Brugere Dana Dachman-Soled Danial Dervovic Antigoni Polychroniadou Min Wu 26 1 0 06 Feb 2024
A Survey of Privacy Threats and Defense in Vertical Federated Learning: From Model Life Cycle Perspective Lei Yu Meng Han Yiming Li Changting Lin Yao Zhang ... Yan Liu Haiqin Weng Yuseok Jeon Ka-Ho Chow Stacy Patterson FedML 60 9 0 06 Feb 2024
Unlearnable Examples For Time Series Yujing Jiang Xingjun Ma S. Erfani James Bailey AI4TS 23 1 0 03 Feb 2024
An Information Theoretic Approach to Machine Unlearning Jack Foster Kyle Fogarty Stefan Schoepf Cengiz Öztireli Alexandra Brintrup MU 54 4 0 02 Feb 2024
Trustworthy Distributed AI Systems: Robustness, Privacy, and Governance Wenqi Wei Ling Liu 31 16 0 02 Feb 2024
BrainLeaks: On the Privacy-Preserving Properties of Neuromorphic Architectures against Model Inversion Attacks Hamed Poursiami Ihsen Alouani Maryam Parsa AAML 43 3 0 01 Feb 2024
Decentralised, Collaborative, and Privacy-preserving Machine Learning for Multi-Hospital Data Cong Fang Adam Dziedzic Lin Zhang Laura Oliva A. Verma Fahad Razak Nicolas Papernot Bo Wang OOD 22 11 0 31 Jan 2024
Dataset Condensation Driven Machine Unlearning Junaid Iqbal Khan DD 40 1 0 31 Jan 2024
Privacy and Security Implications of Cloud-Based AI Services : A Survey Alka Luqman Riya Mahesh Anupam Chattopadhyay 38 2 0 31 Jan 2024
Security and Privacy Challenges of Large Language Models: A Survey B. Das M. H. Amini Yanzhao Wu PILM ELM 26 108 0 30 Jan 2024
Scalable Federated Unlearning via Isolated and Coded Sharding Yi-Lan Lin Zhipeng Gao Hongyang Du Dusit Niyato Gui Gui Shuguang Cui Jinke Ren FedML 51 4 0 29 Jan 2024
Blockchain-enabled Trustworthy Federated Unlearning Yi-Lan Lin Zhipeng Gao Hongyang Du Jinke Ren Zhiqiang Xie Dusit Niyato MU 39 5 0 29 Jan 2024
A Comprehensive Survey on Graph Reduction: Sparsification, Coarsening, and Condensation Mohammad Hashemi Shengbo Gong Juntong Ni Wenqi Fan B. A. Prakash Wei-dong Jin DD 76 40 0 29 Jan 2024
Decentralized Federated Learning: A Survey on Security and Privacy Ehsan Hallaji R. Razavi-Far M. Saif Boyu Wang Qiang Yang FedML 58 35 0 25 Jan 2024
How to Forget Clients in Federated Online Learning to Rank? Shuyi Wang Bing Liu Guido Zuccon 22 7 0 24 Jan 2024
Secure Federated Learning Approaches to Diagnosing COVID-19 Rittika Adhikari Christopher Settles FedML OOD 19 0 0 23 Jan 2024
Wasserstein Differential Privacy Chengyi Yang Jiayin Qi Aimin Zhou 14 2 0 23 Jan 2024
Text Embedding Inversion Security for Multilingual Language Models Yiyi Chen Heather Lent Johannes Bjerva 27 15 0 22 Jan 2024
Unraveling Attacks in Machine Learning-based IoT Ecosystems: A Survey and the Open Libraries Behind Them Chao-Jung Liu Boxi Chen Wei Shao Chris Zhang Kelvin Wong Yi Zhang 47 3 0 22 Jan 2024
Communication Efficient and Provable Federated Unlearning Youming Tao Cheng-Long Wang Miao Pan Dongxiao Yu Xiuzhen Cheng Di Wang FedML MU 27 15 0 19 Jan 2024
Memorization in Self-Supervised Learning Improves Downstream Generalization Wenhao Wang Muhammad Ahmad Kaleem Adam Dziedzic Michael Backes Nicolas Papernot Franziska Boenisch SSL 30 9 0 19 Jan 2024
Contrastive Unlearning: A Contrastive Approach to Machine Unlearning Hong kyu Lee Qiuchen Zhang Carl Yang Jian Lou Li Xiong MU SSL 26 4 0 19 Jan 2024
Differentially Private and Adversarially Robust Machine Learning: An Empirical Evaluation Janvi Thakkar Giulio Zizzo S. Maffeis AAML 23 0 0 18 Jan 2024
Federated Unlearning for Human Activity Recognition Kongyang Chen Dongping Zhang Yaping Chai Weibin Zhang Shaowei Wang Jiaxing Shen MU 37 24 0 17 Jan 2024
Security and Privacy Issues and Solutions in Federated Learning for Digital Healthcare Hyejun Jeong Tai-Myung Chung FedML 27 1 0 16 Jan 2024
Learn What You Need in Personalized Federated Learning Kexin Lv Rui Ye Xiaolin Huang Jie Yang Siheng Chen FedML 32 0 0 16 Jan 2024
Towards Efficient and Certified Recovery from Poisoning Attacks in Federated Learning Yu Jiang Jiyuan Shen Ziyao Liu Chee Wei Tan Kwok-Yan Lam AAML FedML 54 5 0 16 Jan 2024
FedTabDiff: Federated Learning of Diffusion Probabilistic Models for Synthetic Mixed-Type Tabular Data Generation Timur Sattarov Marco Schreyer Damian Borth FedML DiffM MedIm 25 7 0 11 Jan 2024
TOFU: A Task of Fictitious Unlearning for LLMs Pratyush Maini Zhili Feng Avi Schwarzschild Zachary Chase Lipton J. Zico Kolter MU CLL 46 146 0 11 Jan 2024
Federated Unlearning: A Survey on Methods, Design Guidelines, and Evaluation Metrics Nicolò Romandini Alessio Mora Carlo Mazzocca R. Montanari Paolo Bellavista FedML MU 64 22 0 10 Jan 2024
Learning-Based Difficulty Calibration for Enhanced Membership Inference Attacks Haonan Shi Ouyang Tu An Wang 23 1 0 10 Jan 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 26 0 0 09 Jan 2024
Private Fine-tuning of Large Language Models with Zeroth-order Optimization Xinyu Tang Ashwinee Panda Milad Nasr Saeed Mahloujifar Prateek Mittal 50 18 0 09 Jan 2024
Lotto: Secure Participant Selection against Adversarial Servers in Federated Learning Zhifeng Jiang Peng Ye Shiqi He Wei Wang Ruichuan Chen Bo Li 31 2 0 05 Jan 2024
Reversing the Irreversible: A Survey on Inverse Biometrics M. Gomez-Barrero Javier Galbally 51 67 0 05 Jan 2024
Locally Differentially Private Embedding Models in Distributed Fraud Prevention Systems Iker Perez Jason Wong Piotr Skalski Stuart Burrell Richard Mortier Derek McAuley David Sutton FedML 27 1 0 03 Jan 2024
The Art of Deception: Robust Backdoor Attack using Dynamic Stacking of Triggers Orson Mengara AAML 49 3 0 03 Jan 2024
Safety and Performance, Why Not Both? Bi-Objective Optimized Model Compression against Heterogeneous Attacks Toward AI Software Deployment Jie Zhu Leye Wang Xiao Han Anmin Liu Tao Xie AAML 38 5 0 02 Jan 2024
Facebook Report on Privacy of fNIRS data Md. Imran Hossen Sai Venkatesh Chilukoti Liqun Shan Vijay Srinivas Tida X. Hei 41 0 0 01 Jan 2024
Digger: Detecting Copyright Content Mis-usage in Large Language Model Training Haodong Li Gelei Deng Yi Liu Kailong Wang Yuekang Li Tianwei Zhang Yang Liu Guoai Xu Guosheng Xu Haoyu Wang 23 25 0 01 Jan 2024
Deep Learning for Code Intelligence: Survey, Benchmark and Toolkit Yao Wan Yang He Zhangqian Bi Jianguo Zhang Hongyu Zhang Yulei Sui Guandong Xu Hai Jin Philip S. Yu 47 21 0 30 Dec 2023
AIJack: Let's Hijack AI! Security and Privacy Risk Simulator for Machine Learning Hideaki Takahashi SILM 38 2 0 29 Dec 2023
Continual Learning in Medical Image Analysis: A Comprehensive Review of Recent Advancements and Future Prospects Pratibha Kumari Joohi Chauhan Afshin Bozorgpour Boqiang Huang Reza Azad Dorit Merhof 60 11 0 28 Dec 2023
Attack Tree Analysis for Adversarial Evasion Attacks Yuki Yamaguchi Toshiaki Aoki AAML 28 0 0 28 Dec 2023
Federated Continual Learning via Knowledge Fusion: A Survey Xin Yang Hao Yu Xin Gao Hao Wang Junbo Zhang Tianrui Li FedML 41 33 0 27 Dec 2023
Reinforcement Unlearning Dayong Ye Tianqing Zhu Congcong Zhu Derui Wang Zewei Shi Sheng Shen Wanlei Zhou Jason Xue MU 28 7 0 26 Dec 2023