Improving adversarial robustness of deep neural networks by using semantic information
Authors: Lina Wang, Rui Tang, Yawei Yue, Xingshu Chen, Wei Wang, Yi Zhu, Xuemei Zeng | Published: 2020-08-18 | Updated: 2021-06-17
Efficient Private Machine Learning by Differentiable Random Transformations
Authors: Fei Zheng | Published: 2020-08-18
Usable Security for ML Systems in Mental Health: A Framework
Authors: Helen Jiang, Erwen Senge | Published: 2020-08-18
Privacy-preserving feature selection: A survey and proposing a new set of protocols
Authors: Javad Rahimipour Anaraki, Saeed Samet | Published: 2020-08-17
WAFFLE: Watermarking in Federated Learning
Authors: Buse Gul Atli, Yuxi Xia, Samuel Marchal, N. Asokan | Published: 2020-08-17 | Updated: 2021-07-22
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
A Survey of Machine Learning Methods for Detecting False Data Injection Attacks in Power Systems
Authors: Ali Sayghe, Yaodan Hu, Ioannis Zografopoulos, XiaoRui Liu, Raj Gautam Dutta, Yier Jin, Charalambos Konstantinou | Published: 2020-08-16
TextDecepter: Hard Label Black Box Attack on Text Classifiers
Authors: Sachin Saxena | Published: 2020-08-16 | Updated: 2020-12-28
Adversary Agnostic Robust Deep Reinforcement Learning
Authors: Xinghua Qu, Yew-Soon Ong, Abhishek Gupta, Zhu Sun | Published: 2020-08-14 | Updated: 2020-12-24
Sniffing for Codebase Secret Leaks with Known Production Secrets in Industry
Authors: Zhen Yu Ding, Benjamin Khakshoor, Justin Paglierani, Mantej Rajpal | Published: 2020-08-13