Reducing the Cost of Training Security Classifier (via Optimized Semi-Supervised Learning)
Authors: Rui Shu, Tianpei Xia, Huy Tu, Laurie Williams, Tim Menzies | Published: 2022-05-02
Hyperparameter Optimization
Dazzle: Using Optimized Generative Adversarial Networks to Address Security Data Class Imbalance Issue
Authors: Rui Shu, Tianpei Xia, Laurie Williams, Tim Menzies | Published: 2022-03-22 | Updated: 2022-05-02
Derivative-free Alternating Projection Algorithms for General Nonconvex-Concave Minimax Problems
Authors: Zi Xu, Ziqi Wang, Jingjing Shen, Yuhong Dai | Published: 2021-08-01 | Updated: 2024-01-25
Towards an Adversarially Robust Normalization Approach
Authors: Muhammad Awais, Fahad Shamshad, Sung-Ho Bae | Published: 2020-06-19
New Interpretations of Normalization Methods in Deep Learning
Authors: Jiacheng Sun, Xiangyong Cao, Hanwen Liang, Weiran Huang, Zewei Chen, Zhenguo Li | Published: 2020-06-16
Robust Deep Reinforcement Learning against Adversarial Perturbations on State Observations
Authors: Huan Zhang, Hongge Chen, Chaowei Xiao, Bo Li, Mingyan Liu, Duane Boning, Cho-Jui Hsieh | Published: 2020-03-19 | Updated: 2021-07-14
Regularisation Can Mitigate Poisoning Attacks: A Novel Analysis Based on Multiobjective Bilevel Optimisation
Authors: Javier Carnerero-Cano, Luis Muñoz-González, Phillippa Spencer, Emil C. Lupu | Published: 2020-02-28 | Updated: 2020-06-20
The Performance of Machine and Deep Learning Classifiers in Detecting Zero-Day Vulnerabilities
Authors: Faranak Abri, Sima Siami-Namini, Mahdi Adl Khanghah, Fahimeh Mirza Soltani, Akbar Siami Namin | Published: 2019-11-21
Three Tools for Practical Differential Privacy
Authors: Koen Lennart van der Veen, Ruben Seggers, Peter Bloem, Giorgio Patrini | Published: 2018-12-07