Addressing Neural Network Robustness with Mixup and Targeted Labeling Adversarial Training
Authors: Alfred Laugros, Alice Caplier, Matthieu Ospici | Published: 2020-08-19
Early Identification of Services in HTTPS Traffic
Authors: Wazen M. Shbair, Thibault Cholez, Jerome Francois, Isabelle Chrisment | Published: 2020-08-19
Toward Smart Security Enhancement of Federated Learning Networks
Authors: Junjie Tan, Ying-Chang Liang, Nguyen Cong Luong, Dusit Niyato | Published: 2020-08-19
Clustering and Analysis of Vulnerabilities Present in Different Robot Types
Authors: Chinwe Ekenna, Bharvee Acharya | Published: 2020-08-18
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