ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models

4 June 2018

Mario Fritz

Michael Backes

MIACV

MIALM

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Papers citing "ML-Leaks: Model and Data Independent Membership Inference Attacks and Defenses on Machine Learning Models"

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Title
On the Difficulty of Membership Inference Attacks Shahbaz Rezaei Xin Liu MIACV 22 13 0 27 May 2020
Revisiting Membership Inference Under Realistic Assumptions Bargav Jayaraman Lingxiao Wang Katherine Knipmeyer Quanquan Gu David Evans 24 147 0 21 May 2020
An Overview of Privacy in Machine Learning Emiliano De Cristofaro SILM 33 83 0 18 May 2020
DAMIA: Leveraging Domain Adaptation as a Defense against Membership Inference Attacks Hongwei Huang Weiqi Luo Guoqiang Zeng J. Weng Yue Zhang Anjia Yang AAML 15 24 0 16 May 2020
Defending Model Inversion and Membership Inference Attacks via Prediction Purification Ziqi Yang Bin Shao Bohan Xuan E. Chang Fan Zhang AAML 25 71 0 08 May 2020
When Machine Unlearning Jeopardizes Privacy Min Chen Zhikun Zhang Tianhao Wang Michael Backes Mathias Humbert Yang Zhang MIACV 31 218 0 05 May 2020
Exploiting Defenses against GAN-Based Feature Inference Attacks in Federated Learning Xinjian Luo Xiangqi Zhu FedML 75 25 0 27 Apr 2020
Privacy in Deep Learning: A Survey Fatemehsadat Mirshghallah Mohammadkazem Taram Praneeth Vepakomma Abhishek Singh Ramesh Raskar H. Esmaeilzadeh FedML 19 135 0 25 Apr 2020
DarkneTZ: Towards Model Privacy at the Edge using Trusted Execution Environments Fan Mo Ali Shahin Shamsabadi Kleomenis Katevas Soteris Demetriou Ilias Leontiadis Andrea Cavallaro Hamed Haddadi FedML 18 175 0 12 Apr 2020
Information Leakage in Embedding Models Congzheng Song A. Raghunathan MIACV 24 262 0 31 Mar 2020
Learn to Forget: Machine Unlearning via Neuron Masking Yang Liu Zhuo Ma Ximeng Liu Jian-wei Liu Zhongyuan Jiang Jianfeng Ma Philip Yu K. Ren MU 22 61 0 24 Mar 2020
Systematic Evaluation of Privacy Risks of Machine Learning Models Liwei Song Prateek Mittal MIACV 196 360 0 24 Mar 2020
Dynamic Backdoor Attacks Against Machine Learning Models A. Salem Rui Wen Michael Backes Shiqing Ma Yang Zhang AAML 45 271 0 07 Mar 2020
Membership Inference Attacks and Defenses in Classification Models Jiacheng Li Ninghui Li Bruno Ribeiro 17 34 0 27 Feb 2020
On the Effectiveness of Mitigating Data Poisoning Attacks with Gradient Shaping Sanghyun Hong Varun Chandrasekaran Yigitcan Kaya Tudor Dumitras Nicolas Papernot AAML 28 136 0 26 Feb 2020
Approximate Data Deletion from Machine Learning Models Zachary Izzo Mary Anne Smart Kamalika Chaudhuri James Zou MU 22 249 0 24 Feb 2020
Optimizing Privacy-Preserving Outsourced Convolutional Neural Network Predictions Minghui Li Sherman S. M. Chow Shengshan Hu Yuejing Yan Minxin Du Peng Kuang 6 45 0 22 Feb 2020
Data and Model Dependencies of Membership Inference Attack Shakila Mahjabin Tonni Dinusha Vatsalan F. Farokhi Dali Kaafar Zhigang Lu Gioacchino Tangari 11 17 0 17 Feb 2020
Modelling and Quantifying Membership Information Leakage in Machine Learning F. Farokhi M. Kâafar AAML FedML MIACV 56 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 22 13 0 24 Jan 2020
On the Resilience of Biometric Authentication Systems against Random Inputs Benjamin Zi Hao Zhao Hassan Jameel Asghar M. Kâafar AAML 39 23 0 13 Jan 2020
Membership Inference Attacks Against Object Detection Models Yeachan Park Myung-joo Kang MIACV 29 6 0 12 Jan 2020
Privacy Attacks on Network Embeddings Michael Ellers Michael Cochez Tobias Schumacher M. Strohmaier Florian Lemmerich AAML 19 12 0 23 Dec 2019
Segmentations-Leak: Membership Inference Attacks and Defenses in Semantic Image Segmentation Yang He Shadi Rahimian Bernt Schiele Mario Fritz MIACV 21 49 0 20 Dec 2019
Analyzing Information Leakage of Updates to Natural Language Models Santiago Zanella Béguelin Lukas Wutschitz Shruti Tople Victor Rühle Andrew Paverd O. Ohrimenko Boris Köpf Marc Brockschmidt ELM MIACV FedML PILM KELM 8 125 0 17 Dec 2019
Towards Security Threats of Deep Learning Systems: A Survey Yingzhe He Guozhu Meng Kai Chen Xingbo Hu Jinwen He AAML ELM 15 14 0 28 Nov 2019
Survey of Attacks and Defenses on Edge-Deployed Neural Networks Mihailo Isakov V. Gadepally K. Gettings Michel A. Kinsy AAML 22 31 0 27 Nov 2019
Effects of Differential Privacy and Data Skewness on Membership Inference Vulnerability Stacey Truex Ling Liu Mehmet Emre Gursoy Wenqi Wei Lei Yu MIACV 29 46 0 21 Nov 2019
Privacy Leakage Avoidance with Switching Ensembles R. Izmailov Peter Lin Chris Mesterharm S. Basu 25 2 0 18 Nov 2019
Revocable Federated Learning: A Benchmark of Federated Forest Yang Liu Zhuo Ma Ximeng Liu Zhuzhu Wang Siqi Ma Ken Ren FedML MU 27 10 0 08 Nov 2019
Reducing audio membership inference attack accuracy to chance: 4 defenses M. Lomnitz Nina Lopatina Paul Gamble Z. Hampel-Arias Lucas Tindall Felipe A. Mejia M. Barrios AAML 17 0 0 31 Oct 2019
Quantifying (Hyper) Parameter Leakage in Machine Learning Vasisht Duddu D. V. Rao AAML MIACV FedML 36 5 0 31 Oct 2019
Fault Tolerance of Neural Networks in Adversarial Settings Vasisht Duddu N. Pillai D. V. Rao V. Balas SILM AAML 27 11 0 30 Oct 2019
Robust Membership Encoding: Inference Attacks and Copyright Protection for Deep Learning Congzheng Song Reza Shokri MIACV 21 5 0 27 Sep 2019
Alleviating Privacy Attacks via Causal Learning Shruti Tople Amit Sharma A. Nori MIACV OOD 33 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 24 384 0 23 Sep 2019
Defending against Machine Learning based Inference Attacks via Adversarial Examples: Opportunities and Challenges Jinyuan Jia Neil Zhenqiang Gong AAML SILM 17 16 0 17 Sep 2019
GAN-Leaks: A Taxonomy of Membership Inference Attacks against Generative Models Dingfan Chen Ning Yu Yang Zhang Mario Fritz 23 52 0 09 Sep 2019
High Accuracy and High Fidelity Extraction of Neural Networks Matthew Jagielski Nicholas Carlini David Berthelot Alexey Kurakin Nicolas Papernot MLAU MIACV 39 372 0 03 Sep 2019
White-box vs Black-box: Bayes Optimal Strategies for Membership Inference Alexandre Sablayrolles Matthijs Douze Yann Ollivier Cordelia Schmid Hervé Jégou MIACV 31 352 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 20 11 0 28 Aug 2019
Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference Klas Leino Matt Fredrikson MIACV 50 267 0 27 Jun 2019
Adversarial training approach for local data debiasing Ulrich Aïvodji F. Bidet Sébastien Gambs Rosin Claude Ngueveu Alain Tapp 11 7 0 19 Jun 2019
Membership Privacy for Machine Learning Models Through Knowledge Transfer Virat Shejwalkar Amir Houmansadr 22 10 0 15 Jun 2019
Robust or Private? Adversarial Training Makes Models More Vulnerable to Privacy Attacks Felipe A. Mejia Paul Gamble Z. Hampel-Arias M. Lomnitz Nina Lopatina Lucas Tindall M. Barrios SILM 27 18 0 15 Jun 2019
Disparate Vulnerability to Membership Inference Attacks B. Kulynych Mohammad Yaghini Giovanni Cherubin Michael Veale Carmela Troncoso 13 39 0 02 Jun 2019
Privacy Risks of Securing Machine Learning Models against Adversarial Examples Liwei Song Reza Shokri Prateek Mittal SILM MIACV AAML 6 235 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 19 34 0 17 May 2019
Language in Our Time: An Empirical Analysis of Hashtags Yang Zhang 23 26 0 11 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 30 106 0 11 Apr 2019