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"

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Title
Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study Myeongseob Ko Ming Jin Chenguang Wang Ruoxi Jia 31 27 0 29 Sep 2023
Privacy Preservation in Artificial Intelligence and Extended Reality (AI-XR) Metaverses: A Survey Mahdi Alkaeed Adnan Qayyum Junaid Qadir 24 16 0 19 Sep 2023
A Duty to Forget, a Right to be Assured? Exposing Vulnerabilities in Machine Unlearning Services Hongsheng Hu Shuo Wang Jiamin Chang Haonan Zhong Ruoxi Sun Shuang Hao Haojin Zhu Minhui Xue MU 19 25 0 15 Sep 2023
SLMIA-SR: Speaker-Level Membership Inference Attacks against Speaker Recognition Systems Guangke Chen Yedi Zhang Fu Song 14 3 0 14 Sep 2023
A Survey on Privacy in Graph Neural Networks: Attacks, Preservation, and Applications Yi Zhang Yuying Zhao Zhaoqing Li Xueqi Cheng Yu-Chiang Frank Wang Olivera Kotevska Philip S. Yu Tyler Derr 18 9 0 31 Aug 2023
A Probabilistic Fluctuation based Membership Inference Attack for Diffusion Models Wenjie Fu Huandong Wang Chen Gao Guanghua Liu Yong Li Tao Jiang DiffM 16 11 0 23 Aug 2023
Generative Adversarial Networks Unlearning Hui Sun Tianqing Zhu Wenhan Chang Wanlei Zhou MU GAN 19 6 0 19 Aug 2023
Fast Machine Unlearning Without Retraining Through Selective Synaptic Dampening Jack Foster Stefan Schoepf Alexandra Brintrup MU 22 82 0 15 Aug 2023
Machine Unlearning: Solutions and Challenges Jie Xu Zihan Wu Cong Wang Xiaohua Jia MU 33 45 0 14 Aug 2023
FLIPS: Federated Learning using Intelligent Participant Selection R. Bhope K. R. Jayaram N. Venkatasubramanian Ashish Verma Gegi Thomas FedML 11 3 0 07 Aug 2023
Model Provenance via Model DNA Xin Mu Yu Wang Yehong Zhang Jiaqi Zhang Haibo Wang Yang Xiang Yue Yu SyDa 11 0 0 04 Aug 2023
Backdoor Attacks against Voice Recognition Systems: A Survey Baochen Yan Jiahe Lan Zheng Yan AAML 12 7 0 23 Jul 2023
A Survey of What to Share in Federated Learning: Perspectives on Model Utility, Privacy Leakage, and Communication Efficiency Jiawei Shao Zijian Li Wenqiang Sun Tailin Zhou Yuchang Sun Lumin Liu Zehong Lin Yuyi Mao Jun Zhang FedML 26 22 0 20 Jul 2023
You Don't Need Robust Machine Learning to Manage Adversarial Attack Risks Edward Raff M. Benaroch Andrew L. Farris AAML 14 2 0 16 Jun 2023
Evaluating Data Attribution for Text-to-Image Models Sheng-Yu Wang Alexei A. Efros Jun-Yan Zhu Richard Y. Zhang TDI 18 30 0 15 Jun 2023
Discriminative Adversarial Privacy: Balancing Accuracy and Membership Privacy in Neural Networks Eugenio Lomurno Alberto Archetti Francesca Ausonio Matteo Matteucci AAML 17 4 0 05 Jun 2023
Challenges and Remedies to Privacy and Security in AIGC: Exploring the Potential of Privacy Computing, Blockchain, and Beyond Chuan Chen Zhenpeng Wu Yan-Hao Lai Wen-chao Ou Tianchi Liao Zibin Zheng 17 30 0 01 Jun 2023
Training Data Extraction From Pre-trained Language Models: A Survey Shotaro Ishihara 24 46 0 25 May 2023
Watermarking Text Data on Large Language Models for Dataset Copyright Yixin Liu Hongsheng Hu Xun Chen Xuyun Zhang Lichao Sun WaLM 8 22 0 22 May 2023
The "code'' of Ethics:A Holistic Audit of AI Code Generators Wanlun Ma Yiliao Song Minhui Xue Sheng Wen Yang Xiang 22 3 0 22 May 2023
Beyond the Safeguards: Exploring the Security Risks of ChatGPT Erik Derner Kristina Batistic SILM 19 65 0 13 May 2023
Exploring the Landscape of Machine Unlearning: A Comprehensive Survey and Taxonomy T. Shaik Xiaohui Tao Haoran Xie Lin Li Xiaofeng Zhu Qingyuan Li MU 30 25 0 10 May 2023
MLHOps: Machine Learning for Healthcare Operations Kristoffer Larsen Vallijah Subasri A. Krishnan Cláudio Tinoco Mesquita Diana Paez Laleh Seyyed-Kalantari Amalia Peix LM&MA AI4TS VLM 14 2 0 04 May 2023
(Local) Differential Privacy has NO Disparate Impact on Fairness Héber H. Arcolezi K. Makhlouf C. Palamidessi 14 5 0 25 Apr 2023
Breaching FedMD: Image Recovery via Paired-Logits Inversion Attack Hideaki Takahashi Jingjing Liu Yang Liu FedML 21 9 0 22 Apr 2023
Emergent and Predictable Memorization in Large Language Models Stella Biderman USVSN Sai Prashanth Lintang Sutawika Hailey Schoelkopf Quentin G. Anthony Shivanshu Purohit Edward Raf 19 117 0 21 Apr 2023
Sparsity in neural networks can improve their privacy Antoine Gonon Léon Zheng Clément Lalanne Quoc-Tung Le Guillaume Lauga Can Pouliquen 21 2 0 20 Apr 2023
Can sparsity improve the privacy of neural networks? Antoine Gonon Léon Zheng Clément Lalanne Quoc-Tung Le Guillaume Lauga Can Pouliquen 8 0 0 11 Apr 2023
Pythia: A Suite for Analyzing Large Language Models Across Training and Scaling Stella Biderman Hailey Schoelkopf Quentin G. Anthony Herbie Bradley Kyle O'Brien ... USVSN Sai Prashanth Edward Raff Aviya Skowron Lintang Sutawika Oskar van der Wal 25 1,160 0 03 Apr 2023
Boundary Unlearning Min Chen Weizhuo Gao Gaoyang Liu Kai Peng Chen Wang MU 101 69 0 21 Mar 2023
It Is All About Data: A Survey on the Effects of Data on Adversarial Robustness Peiyu Xiong Michael W. Tegegn Jaskeerat Singh Sarin Shubhraneel Pal Julia Rubin SILM AAML 22 8 0 17 Mar 2023
A Comprehensive Survey of AI-Generated Content (AIGC): A History of Generative AI from GAN to ChatGPT Yihan Cao Siyu Li Yixin Liu Zhiling Yan Yutong Dai Philip S. Yu Lichao Sun 19 493 0 07 Mar 2023
PRIMO: Private Regression in Multiple Outcomes Seth Neel 18 0 0 07 Mar 2023
Membership Inference Attacks against Synthetic Data through Overfitting Detection B. V. Breugel Hao Sun Zhaozhi Qian M. Schaar 8 44 0 24 Feb 2023
A Survey on Digital Twins: Architecture, Enabling Technologies, Security and Privacy, and Future Prospects Yuntao Wang Zhou Su Shaolong Guo Minghui Dai Tom H. Luan Yiliang Liu 22 106 0 31 Jan 2023
A Comprehensive Survey of Dataset Distillation Shiye Lei Dacheng Tao DD 31 87 0 13 Jan 2023
A Comparative Study of Image Disguising Methods for Confidential Outsourced Learning Sagar Sharma Yuechun Gu Keke Chen 18 0 0 31 Dec 2022
Can Querying for Bias Leak Protected Attributes? Achieving Privacy With Smooth Sensitivity Faisal Hamman Jiahao Chen Sanghamitra Dutta 17 9 0 03 Nov 2022
Privacy-preserving Non-negative Matrix Factorization with Outliers Swapnil Saha H. Imtiaz PICV 14 3 0 02 Nov 2022
On Learning Fairness and Accuracy on Multiple Subgroups Changjian Shui Gezheng Xu Qi Chen Jiaqi Li Charles X. Ling Tal Arbel Boyu Wang Christian Gagné 37 37 0 19 Oct 2022
Emerging Threats in Deep Learning-Based Autonomous Driving: A Comprehensive Survey Huiyun Cao Wenlong Zou Yinkun Wang Ting Song Mengjun Liu AAML 35 4 0 19 Oct 2022
On the Privacy Risks of Cell-Based NAS Architectures Haiping Huang Zhikun Zhang Yun Shen Michael Backes Qi Li Yang Zhang 12 7 0 04 Sep 2022
BlindFL: Vertical Federated Machine Learning without Peeking into Your Data Fangcheng Fu Huanran Xue Yong Cheng Yangyu Tao Bin Cui FedML 12 58 0 16 Jun 2022
A Blessing of Dimensionality in Membership Inference through Regularization Jasper Tan Daniel LeJeune Blake Mason Hamid Javadi Richard G. Baraniuk 8 18 0 27 May 2022
MIAShield: Defending Membership Inference Attacks via Preemptive Exclusion of Members Ismat Jarin Birhanu Eshete 11 9 0 02 Mar 2022
Bounding Membership Inference Anvith Thudi Ilia Shumailov Franziska Boenisch Nicolas Papernot 17 18 0 24 Feb 2022
Towards Adversarial Evaluations for Inexact Machine Unlearning Shashwat Goel Ameya Prabhu Amartya Sanyal Ser-Nam Lim Philip H. S. Torr Ponnurangam Kumaraguru AAML ELM MU 22 44 0 17 Jan 2022
Membership Inference Attacks Against Temporally Correlated Data in Deep Reinforcement Learning Maziar Gomrokchi Susan Amin Hossein Aboutalebi Alexander Wong Doina Precup MIACV AAML 16 3 0 08 Sep 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 96 193 0 12 Jul 2021
Survey: Leakage and Privacy at Inference Time Marija Jegorova Chaitanya Kaul Charlie Mayor Alison Q. OÑeil Alexander Weir Roderick Murray-Smith Sotirios A. Tsaftaris PILM MIACV 17 71 0 04 Jul 2021