A black-box adversarial attack strategy with adjustable sparsity and generalizability for deep image classifiers

Fooling deep neural detection networks with adaptive object-oriented adversarial perturbation

(2021) Yatie Xiao et al.   PATTERN RECOGNITION

Ensemble adversarial black-box attacks against deep learning systems

(2020) Jie Hang et al.   PATTERN RECOGNITION

Universal Adversarial Perturbations against Object Detection

(2020) Debang Li et al.   PATTERN RECOGNITION

Black-box attack against handwritten signature verification with region-restricted adversarial perturbations

(2020) Haoyang Li et al.   PATTERN RECOGNITION

One Pixel Attack for Fooling Deep Neural Networks

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

Wild Patterns: Ten Years After the Rise of Adversarial Machine Learning

(2018) Battista Biggio et al.   PATTERN RECOGNITION

A parameter independent fuzzy weighted k -Nearest neighbor classifier

(2018) Nimagna Biswas et al.   PATTERN RECOGNITION LETTERS

Differential Evolution: A survey of theoretical analyses

(2018) Karol R. Opara et al.   Swarm and Evolutionary Computation

Recent advances in differential evolution – An updated survey

(2016) Swagatam Das et al.   Swarm and Evolutionary Computation

ImageNet Large Scale Visual Recognition Challenge

(2015) Olga Russakovsky et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION