Membership Inference Attacks From First Principles

7 December 2021

Papers citing "Membership Inference Attacks From First Principles"

29 / 79 papers shown

Title
ML Privacy Meter: Aiding Regulatory Compliance by Quantifying the Privacy Risks of Machine Learning S. K. Murakonda Reza Shokri 40 75 0 18 Jul 2020
Auditing Differentially Private Machine Learning: How Private is Private SGD? Matthew Jagielski Jonathan R. Ullman Alina Oprea FedML 72 243 0 13 Jun 2020
Revisiting Membership Inference Under Realistic Assumptions Bargav Jayaraman Lingxiao Wang Katherine Knipmeyer Quanquan Gu David Evans 49 151 0 21 May 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 341 371 0 24 Mar 2020
MemGuard: Defending against Black-Box Membership Inference Attacks via Adversarial Examples Jinyuan Jia Ahmed Salem Michael Backes Yang Zhang Neil Zhenqiang Gong 64 390 0 23 Sep 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference Alexandre Sablayrolles Matthijs Douze Yann Ollivier Cordelia Schmid Hervé Jégou MIACV 64 366 0 29 Aug 2019
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference Klas Leino Matt Fredrikson MIACV 89 271 0 27 Jun 2019
Does Learning Require Memorization? A Short Tale about a Long Tail Vitaly Feldman TDI 123 494 0 12 Jun 2019
Privacy Risks of Securing Machine Learning Models against Adversarial Examples Liwei Song Reza Shokri Prateek Mittal SILM MIACV AAML 44 241 0 24 May 2019
Gmail Smart Compose: Real-Time Assisted Writing Mengzhao Chen Benjamin Lee G. Bansal Yuan Cao Shuyuan Zhang ... Yinan Wang Andrew M. Dai Zhiwen Chen Timothy Sohn Yonghui Wu 53 205 0 17 May 2019
Updates-Leak: Data Set Inference and Reconstruction Attacks in Online Learning A. Salem Apratim Bhattacharyya Michael Backes Mario Fritz Yang Zhang FedML AAML MIACV 65 257 0 01 Apr 2019
Machine Learning with Membership Privacy using Adversarial Regularization Milad Nasr Reza Shokri Amir Houmansadr FedML MIACV 47 471 0 16 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 93 948 0 04 Jun 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 120 1,771 0 24 May 2018
Exploiting Unintended Feature Leakage in Collaborative Learning Luca Melis Congzheng Song Emiliano De Cristofaro Vitaly Shmatikov FedML 142 1,474 0 10 May 2018
Scalable Private Learning with PATE Nicolas Papernot Shuang Song Ilya Mironov A. Raghunathan Kunal Talwar Ulfar Erlingsson 98 615 0 24 Feb 2018
The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks Nicholas Carlini Chang-rui Liu Ulfar Erlingsson Jernej Kos D. Song 136 1,141 0 22 Feb 2018
Stealing Hyperparameters in Machine Learning Binghui Wang Neil Zhenqiang Gong AAML 136 466 0 14 Feb 2018
Towards Measuring Membership Privacy Yunhui Long Vincent Bindschaedler Carl A. Gunter 52 85 0 25 Dec 2017
Knock Knock, Who's There? Membership Inference on Aggregate Location Data Apostolos Pyrgelis Carmela Troncoso Emiliano De Cristofaro MIACV 103 271 0 21 Aug 2017
Random Erasing Data Augmentation Zhun Zhong Liang Zheng Guoliang Kang Shaozi Li Yi Yang 90 3,635 0 16 Aug 2017
Membership Inference Attacks against Machine Learning Models Reza Shokri M. Stronati Congzheng Song Vitaly Shmatikov SLR MIALM MIACV 246 4,122 0 18 Oct 2016
Pointer Sentinel Mixture Models Stephen Merity Caiming Xiong James Bradbury R. Socher RALM 308 2,859 0 26 Sep 2016
SGDR: Stochastic Gradient Descent with Warm Restarts I. Loshchilov Frank Hutter ODL 330 8,116 0 13 Aug 2016
Deep Learning with Differential Privacy Martín Abadi Andy Chu Ian Goodfellow H. B. McMahan Ilya Mironov Kunal Talwar Li Zhang FedML SyDa 203 6,121 0 01 Jul 2016
Wide Residual Networks Sergey Zagoruyko N. Komodakis 337 7,984 0 23 May 2016
Deep Residual Learning for Image Recognition Kaiming He Xinming Zhang Shaoqing Ren Jian Sun MedIm 2.2K 193,878 0 10 Dec 2015
The Composition Theorem for Differential Privacy Peter Kairouz Sewoong Oh Pramod Viswanath 110 681 0 04 Nov 2013
A statistical framework for differential privacy Larry A. Wasserman Shuheng Zhou 102 485 0 16 Nov 2008