Bayesian evolutionary optimization for crafting high-quality adversarial examples with limited query budget

Chao Li, Wen Yao, Handing Wang, Tingsong Jiang, Xiaoya Zhang

Abstract: Highlights•We propose a black-box adversarial attack using Bayesian evolutionary optimization.•We employ an information entropy based selection for acquisition functions.•The proposed method needs only 200 queries to attack successfully.