Manifold attack
Authors: Khanh-Hung Tran, Fred-Maurice Ngole-Mboula, Jean-Luc Starck | Published: 2020-09-13 | Updated: 2021-03-17
Membership Inference
Quantifying Membership Inference Vulnerability via Generalization Gap and Other Model Metrics
Authors: Jason W. Bentley, Daniel Gibney, Gary Hoppenworth, Sumit Kumar Jha | Published: 2020-09-11
Privacy Analysis of Deep Learning in the Wild: Membership Inference Attacks against Transfer Learning
Authors: Yang Zou, Zhikun Zhang, Michael Backes, Yang Zhang | Published: 2020-09-10
CLEANN: Accelerated Trojan Shield for Embedded Neural Networks
Authors: Mojan Javaheripi, Mohammad Samragh, Gregory Fields, Tara Javidi, Farinaz Koushanfar | Published: 2020-09-04
Adversarial Privacy Preserving Graph Embedding against Inference Attack
Authors: Kaiyang Li, Guangchun Luo, Yang Ye, Wei Li, Shihao Ji, Zhipeng Cai | Published: 2020-08-30
Against Membership Inference Attack: Pruning is All You Need
Authors: Yijue Wang, Chenghong Wang, Zigeng Wang, Shanglin Zhou, Hang Liu, Jinbo Bi, Caiwen Ding, Sanguthevar Rajasekaran | Published: 2020-08-28 | Updated: 2021-07-04
A(DP)$^2$SGD: Asynchronous Decentralized Parallel Stochastic Gradient Descent with Differential Privacy
Authors: Jie Xu, Wei Zhang, Fei Wang | Published: 2020-08-21
Efficient Private Machine Learning by Differentiable Random Transformations
Authors: Fei Zheng | Published: 2020-08-18
Adversarial EXEmples: A Survey and Experimental Evaluation of Practical Attacks on Machine Learning for Windows Malware Detection
Authors: Luca Demetrio, Scott E. Coull, Battista Biggio, Giovanni Lagorio, Alessandro Armando, Fabio Roli | Published: 2020-08-17 | Updated: 2021-03-22
Membership Leakage in Label-Only Exposures
Authors: Zheng Li, Yang Zhang | Published: 2020-07-30 | Updated: 2021-09-17