Membership Inference Attacks on Machine Learning: A Survey

14 March 2021

Lichao Sun

Philip S. Yu

Papers citing "Membership Inference Attacks on Machine Learning: A Survey"

50 / 154 papers shown

Title
CloneShield: A Framework for Universal Perturbation Against Zero-Shot Voice Cloning Renyuan Li Zhibo Liang Haichuan Zhang Tianyu Shi Zhiyuan Cheng Jia Shi Carl Yang Mingjie Tang AAML 95 0 0 25 May 2025
A Case Study Exploring the Current Landscape of Synthetic Medical Record Generation with Commercial LLMs Yihan Lin Zhirong Bella Yu Simon Lee SyDa 92 0 0 20 Apr 2025
AMUN: Adversarial Machine UNlearning A. Boroojeny Hari Sundaram Varun Chandrasekaran MU AAML 63 0 0 02 Mar 2025
Privacy-Preserving Model and Preprocessing Verification for Machine Learning Wenbiao Li Anisa Halimi Xiaoqian Jiang Jaideep Vaidya Erman Ayday AAML 77 0 0 14 Jan 2025
Mask-based Membership Inference Attacks for Retrieval-Augmented Generation Mingrui Liu Sixiao Zhang Cheng Long AAML 85 3 0 26 Oct 2024
Bridging Today and the Future of Humanity: AI Safety in 2024 and Beyond Shanshan Han 124 1 0 09 Oct 2024
Verifiable by Design: Aligning Language Models to Quote from Pre-Training Data Jingyu Zhang Marc Marone Tianjian Li Benjamin Van Durme Daniel Khashabi 104 9 0 05 Apr 2024
Machine unlearning through fine-grained model parameters perturbation Zhiwei Zuo Zhuo Tang KenLi Li Anwitaman Datta AAML MU 51 0 0 09 Jan 2024
Beyond Boundaries: A Comprehensive Survey of Transferable Attacks on AI Systems Guangjing Wang Ce Zhou Yuanda Wang Bocheng Chen Hanqing Guo Qiben Yan AAML SILM 91 3 0 20 Nov 2023
Fundamental Limits of Membership Inference Attacks on Machine Learning Models Eric Aubinais Elisabeth Gassiat Pablo Piantanida MIACV 66 2 0 20 Oct 2023
PRIMO: Private Regression in Multiple Outcomes Seth Neel 45 0 0 07 Mar 2023
Generative Adversarial Networks Gilad Cohen Raja Giryes GAN 148 30,069 0 01 Mar 2022
Adapting Membership Inference Attacks to GNN for Graph Classification: Approaches and Implications Bang Wu Xiangwen Yang Shirui Pan Lizhen Qu AAML 81 61 0 17 Oct 2021
Mitigating Membership Inference Attacks by Self-Distillation Through a Novel Ensemble Architecture Xinyu Tang Saeed Mahloujifar Liwei Song Virat Shejwalkar Milad Nasr Amir Houmansadr Prateek Mittal 29 77 0 15 Oct 2021
Membership Inference Attacks Against Recommender Systems Minxing Zhang Zhaochun Ren Zihan Wang Pengjie Ren Zhumin Chen Pengfei Hu Yang Zhang MIACV AAML 44 85 0 16 Sep 2021
Source Inference Attacks in Federated Learning Hongsheng Hu Z. Salcic Lichao Sun Gillian Dobbie Xuyun Zhang 38 80 0 13 Sep 2021
EncoderMI: Membership Inference against Pre-trained Encoders in Contrastive Learning Hongbin Liu Jinyuan Jia Wenjie Qu Neil Zhenqiang Gong 25 94 0 25 Aug 2021
Membership Inference Attacks on Lottery Ticket Networks Aadesh Bagmar Shishira R. Maiya Shruti Bidwalka Amol Deshpande MIACV 72 5 0 07 Aug 2021
This Person (Probably) Exists. Identity Membership Attacks Against GAN Generated Faces Ryan Webster Julien Rabin Loïc Simon F. Jurie CVBM PICV 36 33 0 13 Jul 2021
Trustworthy AI: A Computational Perspective Haochen Liu Yiqi Wang Wenqi Fan Xiaorui Liu Yaxin Li Shaili Jain Yunhao Liu Anil K. Jain Jiliang Tang FaML 123 202 0 12 Jul 2021
Membership Inference on Word Embedding and Beyond Saeed Mahloujifar Huseyin A. Inan Melissa Chase Esha Ghosh Marcello Hasegawa MIACV SILM 40 46 0 21 Jun 2021
Membership Inference Attacks on Deep Regression Models for Neuroimaging Umang Gupta Dmitris Stripelis Pradeep Lam Paul M. Thompson J. Ambite Greg Ver Steeg MIACV FedML 58 32 0 06 May 2021
Membership Inference Attack Susceptibility of Clinical Language Models Abhyuday N. Jagannatha Bhanu Pratap Singh Rawat Hong-ye Yu MIACV 35 62 0 16 Apr 2021
Membership Inference Attacks on Knowledge Graphs Yu Wang Lifu Huang Philip S. Yu Lichao Sun MIACV 45 15 0 16 Apr 2021
On the (In)Feasibility of Attribute Inference Attacks on Machine Learning Models Benjamin Zi Hao Zhao Aviral Agrawal Catisha Coburn Hassan Jameel Asghar Raghav Bhaskar M. Kâafar Darren Webb Peter Dickinson MIACV 55 39 0 12 Mar 2021
Defending Medical Image Diagnostics against Privacy Attacks using Generative Methods William Paul Yinzhi Cao Miaomiao Zhang Philippe Burlina AAML MedIm 45 15 0 04 Mar 2021
Node-Level Membership Inference Attacks Against Graph Neural Networks Xinlei He Rui Wen Yixin Wu Michael Backes Yun Shen Yang Zhang 93 96 0 10 Feb 2021
ML-Doctor: Holistic Risk Assessment of Inference Attacks Against Machine Learning Models Yugeng Liu Rui Wen Xinlei He A. Salem Zhikun Zhang Michael Backes Emiliano De Cristofaro Mario Fritz Yang Zhang AAML 44 131 0 04 Feb 2021
Membership Inference Attack on Graph Neural Networks Iyiola E. Olatunji Wolfgang Nejdl Megha Khosla AAML 53 100 0 17 Jan 2021
Adversary Instantiation: Lower Bounds for Differentially Private Machine Learning Milad Nasr Shuang Song Abhradeep Thakurta Nicolas Papernot Nicholas Carlini MIACV FedML 105 219 0 11 Jan 2021
Practical Blind Membership Inference Attack via Differential Comparisons Bo Hui Yuchen Yang Haolin Yuan Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao MIACV 130 122 0 05 Jan 2021
Extracting Training Data from Large Language Models Nicholas Carlini Florian Tramèr Eric Wallace Matthew Jagielski Ariel Herbert-Voss ... Tom B. Brown D. Song Ulfar Erlingsson Alina Oprea Colin Raffel MLAU SILM 406 1,868 0 14 Dec 2020
When Machine Learning Meets Privacy: A Survey and Outlook B. Liu Ming Ding Sina shaham W. Rahayu F. Farokhi Zihuai Lin 46 286 0 24 Nov 2020
On the Privacy Risks of Algorithmic Fairness Hong Chang Reza Shokri FaML 102 111 0 07 Nov 2020
FaceLeaks: Inference Attacks against Transfer Learning Models via Black-box Queries Seng Pei Liew Tsubasa Takahashi MIACV FedML 40 9 0 27 Oct 2020
HeteroFL: Computation and Communication Efficient Federated Learning for Heterogeneous Clients Enmao Diao Jie Ding Vahid Tarokh FedML 86 550 0 03 Oct 2020
Quantifying Privacy Leakage in Graph Embedding Vasisht Duddu A. Boutet Virat Shejwalkar MIACV 45 123 0 02 Oct 2020
An Extension of Fano's Inequality for Characterizing Model Susceptibility to Membership Inference Attacks Sumit Kumar Jha Susmit Jha Rickard Ewetz Sunny Raj Alvaro Velasquez L. Pullum A. Swami MIACV 16 8 0 17 Sep 2020
Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics Jason Bentley Daniel Gibney Gary Hoppenworth Sumit Kumar Jha MIACV 23 16 0 11 Sep 2020
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning Yang Zou Zhikun Zhang Michael Backes Yang Zhang MIACV 19 32 0 10 Sep 2020
A Comprehensive Analysis of Information Leakage in Deep Transfer Learning Cen Chen Bingzhe Wu Minghui Qiu Li Wang Jun Zhou PILM 29 10 0 04 Sep 2020
Sampling Attacks: Amplification of Membership Inference Attacks by Repeated Queries Shadi Rahimian Tribhuvanesh Orekondy Mario Fritz MIACV 24 25 0 01 Sep 2020
Against Membership Inference Attack: Pruning is All You Need Yijue Wang Chenghong Wang Zigeng Wang Shangli Zhou Hang Liu J. Bi Caiwen Ding Sanguthevar Rajasekaran MIACV 80 49 0 28 Aug 2020
Adversarial Examples on Object Recognition: A Comprehensive Survey A. Serban E. Poll Joost Visser AAML 68 73 0 07 Aug 2020
Membership Leakage in Label-Only Exposures Zheng Li Yang Zhang 51 241 0 30 Jul 2020
Label-Only Membership Inference Attacks Christopher A. Choquette-Choo Florian Tramèr Nicholas Carlini Nicolas Papernot MIACV MIALM 56 500 0 28 Jul 2020
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning S. K. Murakonda Reza Shokri 22 75 0 18 Jul 2020
A Survey of Privacy Attacks in Machine Learning M. Rigaki Sebastian Garcia PILM AAML 57 218 0 15 Jul 2020
Auditing Differentially Private Machine Learning: How Private is Private SGD? Matthew Jagielski Jonathan R. Ullman Alina Oprea FedML 47 240 0 13 Jun 2020
On the Effectiveness of Regularization Against Membership Inference Attacks Yigitcan Kaya Sanghyun Hong Tudor Dumitras 50 27 0 09 Jun 2020