Membership Inference

Generalization in Generative Adversarial Networks: A Novel Perspective from Privacy Protection

Authors: Bingzhe Wu, Shiwan Zhao, ChaoChao Chen, Haoyang Xu, Li Wang, Xiaolu Zhang, Guangyu Sun, Jun Zhou | Published: 2019-08-21 | Updated: 2019-09-25
Privacy Protection
Membership Inference
Privacy Protection in Machine Learning
2019.08.21 2025.05.28
Literature Database

On the Privacy Risks of Model Explanations

Authors: Reza Shokri, Martin Strobel, Yair Zick | Published: 2019-06-29 | Updated: 2021-02-05
Membership Inference
Adversarial attack
Explanation Method
2019.06.29 2025.05.28
Literature Database

Stolen Memories: Leveraging Model Memorization for Calibrated White-Box Membership Inference

Authors: Klas Leino, Matt Fredrikson | Published: 2019-06-27 | Updated: 2020-06-24
Privacy Protection
Membership Inference
Adversarial attack
2019.06.27 2025.05.28
Literature Database

Trade-offs and Guarantees of Adversarial Representation Learning for Information Obfuscation

Authors: Han Zhao, Jianfeng Chi, Yuan Tian, Geoffrey J. Gordon | Published: 2019-06-19 | Updated: 2020-10-25
Privacy Protection
Membership Inference
Optimization Problem
2019.06.19 2025.05.28
Literature Database

DAWN: Dynamic Adversarial Watermarking of Neural Networks

Authors: Sebastian Szyller, Buse Gul Atli, Samuel Marchal, N. Asokan | Published: 2019-06-03 | Updated: 2021-07-16
Membership Inference
Adversarial Example
Watermarking Technology
2019.06.03 2025.05.28
Literature Database

Disparate Vulnerability to Membership Inference Attacks

Authors: Bogdan Kulynych, Mohammad Yaghini, Giovanni Cherubin, Michael Veale, Carmela Troncoso | Published: 2019-06-02 | Updated: 2021-09-16
Dataset Analysis
Privacy Assessment
Membership Inference
2019.06.02 2025.05.28
Literature Database

Bypassing Backdoor Detection Algorithms in Deep Learning

Authors: Te Juin Lester Tan, Reza Shokri | Published: 2019-05-31 | Updated: 2020-06-06
Pruning Method
Membership Inference
Adversarial Attack Methods
2019.05.31 2025.05.28
Literature Database

Quantifying the Privacy Risks of Learning High-Dimensional Graphical Models

Authors: Sasi Kumar Murakonda, Reza Shokri, George Theodorakopoulos | Published: 2019-05-29 | Updated: 2021-02-17
Privacy Enhancing Technology
Membership Inference
Information-Theoretic Evaluation
2019.05.29 2025.05.28
Literature Database

Privacy Risks of Securing Machine Learning Models against Adversarial Examples

Authors: Liwei Song, Reza Shokri, Prateek Mittal | Published: 2019-05-24 | Updated: 2019-08-25
Backdoor Attack
Membership Inference
Adversarial Example
2019.05.24 2025.05.28
Literature Database

A framework for the extraction of Deep Neural Networks by leveraging public data

Authors: Soham Pal, Yash Gupta, Aditya Shukla, Aditya Kanade, Shirish Shevade, Vinod Ganapathy | Published: 2019-05-22
Data Collection
Membership Inference
Model Performance Evaluation
2019.05.22 2025.05.28
Literature Database
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