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
Revisiting Membership Inference Under Realistic Assumptions Bargav Jayaraman Lingxiao Wang Katherine Knipmeyer Quanquan Gu David Evans 32 150 0 21 May 2020
An Overview of Privacy in Machine Learning Emiliano De Cristofaro SILM 45 83 0 18 May 2020
A Secure Federated Learning Framework for 5G Networks Yi Liu Jia-Jie Peng Jiawen Kang Abdullah M. Iliyasu Dusit Niyato A. El-latif FedML 33 196 0 12 May 2020
Defending Model Inversion and Membership Inference Attacks via Prediction Purification Ziqi Yang Bin Shao Bohan Xuan E. Chang Fan Zhang AAML 30 71 0 08 May 2020
When Machine Unlearning Jeopardizes Privacy Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 61 220 0 05 May 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 60 137 0 25 Apr 2020
Meta-Learning in Neural Networks: A Survey Timothy M. Hospedales Antreas Antoniou P. Micaelli Amos Storkey OOD 296 1,950 0 11 Apr 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 27 266 0 31 Mar 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 280 367 0 24 Mar 2020
Improved Baselines with Momentum Contrastive Learning Xinlei Chen Haoqi Fan Ross B. Girshick Kaiming He SSL 423 3,397 0 09 Mar 2020
Threats to Federated Learning: A Survey Lingjuan Lyu Han Yu Qiang Yang FedML 259 437 0 04 Mar 2020
Membership Inference Attacks and Defenses in Classification Models Jiacheng Li Ninghui Li Bruno Ribeiro 32 35 0 27 Feb 2020
Data and Model Dependencies of Membership Inference Attack Shakila Mahjabin Tonni Dinusha Vatsalan F. Farokhi Dali Kaafar Zhigang Lu Gioacchino Tangari 19 18 0 17 Feb 2020
Modelling and Quantifying Membership Information Leakage in Machine Learning F. Farokhi M. Kâafar AAML FedML MIACV 75 24 0 29 Jan 2020
Privacy for All: Demystify Vulnerability Disparity of Differential Privacy against Membership Inference Attack Bo Zhang Ruotong Yu Haipei Sun Yanying Li Jun Xu Wendy Hui Wang AAML 26 13 0 24 Jan 2020
Cronus: Robust and Heterogeneous Collaborative Learning with Black-Box Knowledge Transfer Hong Chang Virat Shejwalkar Reza Shokri Amir Houmansadr FedML 65 167 0 24 Dec 2019
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Yang He Shadi Rahimian Bernt Schiele Mario Fritz MIACV 62 50 0 20 Dec 2019
Machine Unlearning Lucas Bourtoule Varun Chandrasekaran Christopher A. Choquette-Choo Hengrui Jia Adelin Travers Baiwu Zhang David Lie Nicolas Papernot MU 101 830 0 09 Dec 2019
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability Stacey Truex Ling Liu Mehmet Emre Gursoy Wenqi Wei Lei Yu MIACV 46 46 0 21 Nov 2019
Momentum Contrast for Unsupervised Visual Representation Learning Kaiming He Haoqi Fan Yuxin Wu Saining Xie Ross B. Girshick SSL 113 12,007 0 13 Nov 2019
Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer Colin Raffel Noam M. Shazeer Adam Roberts Katherine Lee Sharan Narang Michael Matena Yanqi Zhou Wei Li Peter J. Liu AIMat 270 19,824 0 23 Oct 2019
FedMD: Heterogenous Federated Learning via Model Distillation Daliang Li Junpu Wang FedML 75 845 0 08 Oct 2019
Characterizing Membership Privacy in Stochastic Gradient Langevin Dynamics Abeer Alshehri Chaochao Chen Shiwan Zhao Cen Chen Yuan Yao Guangyu Sun L. Sonenberg Xiaolu Zhang Jun Zhou BDL 28 21 0 05 Oct 2019
Alleviating Privacy Attacks via Causal Learning Shruti Tople Amit Sharma A. Nori MIACV OOD 54 32 0 27 Sep 2019
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 55 386 0 23 Sep 2019
Accident Risk Prediction based on Heterogeneous Sparse Data: New Dataset and Insights Sobhan Moosavi Mohammad Hossein Samavatian Srinivasan Parthasarathy R. Teodorescu R. Ramnath 20 128 0 19 Sep 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference Alexandre Sablayrolles Matthijs Douze Yann Ollivier Cordelia Schmid Hervé Jégou MIACV 56 363 0 29 Aug 2019
On Inferring Training Data Attributes in Machine Learning Models Benjamin Zi Hao Zhao Hassan Jameel Asghar Raghav Bhaskar M. Kâafar TDI MIACV 34 11 0 28 Aug 2019
Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection Bingzhe Wu Shiwan Zhao Chaochao Chen Haoyang Xu Li Wang Xiaolu Zhang Guangyu Sun Jun Zhou 34 45 0 21 Aug 2019
Federated Learning: Challenges, Methods, and Future Directions Tian Li Anit Kumar Sahu Ameet Talwalkar Virginia Smith FedML 83 4,470 0 21 Aug 2019
Invariant Risk Minimization Martín Arjovsky Léon Bottou Ishaan Gulrajani David Lopez-Paz OOD 152 2,190 0 05 Jul 2019
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference Klas Leino Matt Fredrikson MIACV 76 268 0 27 Jun 2019
Reconstruction and Membership Inference Attacks against Generative Models Benjamin Hilprecht Martin Härterich Daniel Bernau AAML MIACV 37 186 0 07 Jun 2019
Privacy Risks of Securing Machine Learning Models against Adversarial Examples Liwei Song Reza Shokri Prateek Mittal SILM MIACV AAML 27 237 0 24 May 2019
The Audio Auditor: User-Level Membership Inference in Internet of Things Voice Services Yuantian Miao Minhui Xue Chao Chen Lei Pan Jinchao Zhang Benjamin Zi Hao Zhao Dali Kaafar Yang Xiang 94 36 0 17 May 2019
Membership Inference Attacks on Sequence-to-Sequence Models: Is My Data In Your Machine Translation System? Sorami Hisamoto Matt Post Kevin Duh MIACV SLR 40 106 0 11 Apr 2019
Measuring Membership Privacy on Aggregate Location Time-Series Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro 45 23 0 20 Feb 2019
Adversarial Attack and Defense on Graph Data: A Survey Lichao Sun Yingtong Dou Carl Yang Ji Wang Yixin Liu Philip S. Yu Lifang He Yangqiu Song GNN AAML 56 276 0 26 Dec 2018
Differentially Private Data Generative Models Qingrong Chen Chong Xiang Minhui Xue Yue Liu Nikita Borisov Dali Kaafar Haojin Zhu SyDa AAML 43 79 0 06 Dec 2018
BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding Jacob Devlin Ming-Wei Chang Kenton Lee Kristina Toutanova VLM SSL SSeg 961 93,936 0 11 Oct 2018
MLCapsule: Guarded Offline Deployment of Machine Learning as a Service L. Hanzlik Yang Zhang Kathrin Grosse A. Salem Maximilian Augustin Michael Backes Mario Fritz OffRL 67 103 0 01 Aug 2018
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 35 468 0 16 Jul 2018
Algorithms that Remember: Model Inversion Attacks and Data Protection Law Michael Veale Reuben Binns L. Edwards 38 192 0 12 Jul 2018
Privacy-preserving Machine Learning through Data Obfuscation Tianwei Zhang Zecheng He R. Lee 36 80 0 05 Jul 2018
ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models A. Salem Yang Zhang Mathias Humbert Pascal Berrang Mario Fritz Michael Backes MIACV MIALM 74 935 0 04 Jun 2018
Performing Co-Membership Attacks Against Deep Generative Models Kin Sum Liu Chaowei Xiao Yue Liu Jie Gao AAML MIACV 39 58 0 24 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 131 1,461 0 10 May 2018
Extreme Adaptation for Personalized Neural Machine Translation Paul Michel Graham Neubig 55 104 0 04 May 2018
GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding Alex Jinpeng Wang Amanpreet Singh Julian Michael Felix Hill Omer Levy Samuel R. Bowman ELM 658 7,080 0 20 Apr 2018
Generating Artificial Data for Private Deep Learning Aleksei Triastcyn Boi Faltings 38 48 0 08 Mar 2018