Sensitive region-aware black-box adversarial attacks

GreedyFool: Multi-Factor Imperceptibility and Its Application to Designing a Black-box Adversarial Attack

(2022) Hui Liu et al.   INFORMATION SCIENCES

DI-AA: An interpretable white-box attack for fooling deep neural networks

(2022) Yixiang Wang et al.   INFORMATION SCIENCES

An improved differential evolution algorithm and its application in optimization problem

(2021) Wu Deng et al.   Soft Computing

ACT-Detector: Adaptive Channel Transformation-based Light-Weighted Detector for Adversarial Attacks

(2021) Jinyin Chen et al.   INFORMATION SCIENCES

Parameter discrepancy hypothesis: adversarial attack for graph data

(2021) Yiteng Wu et al.   INFORMATION SCIENCES

BARF: A new direct and cross-based binary residual feature fusion with uncertainty-aware module for medical image classification

(2021) Moloud Abdar et al.   INFORMATION SCIENCES

Robust Feature Learning for Adversarial Defense via Hierarchical Feature Alignment

(2020) Xiaoqin Zhang et al.   INFORMATION SCIENCES

Towards a physical-world adversarial patch for blinding object detection models

(2020) Yajie Wang et al.   INFORMATION SCIENCES

POBA-GA: Perturbation optimized black-box adversarial attacks via genetic algorithm

(2019) Jinyin Chen et al.   COMPUTERS & SECURITY

One Pixel Attack for Fooling Deep Neural Networks

(2019) Jiawei Su et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION

Differential Evolution: A Survey of the State-of-the-Art

(2010) Swagatam Das et al.   IEEE TRANSACTIONS ON EVOLUTIONARY COMPUTATION