Adversarial Learning Targeting Deep Neural Network Classification: A Comprehensive Review of Defenses Against Attacks
By D. J. Miller, Z. Xiang, and G. Kesidis
This article provides a contemporary survey of adversarial learning (AL), focused particularly on defenses against attacks on deep neural network classifiers.
By A. Oulasvirta, N. R. Dayama, M. Shiripour, M. John, and A. Karrenbauer
This article surveys combinatorial optimization as a flexible and powerful tool for computational generation and adaptation of graphical user interfaces (GUIs).