Model scheduling and sample selection for ensemble adversarial example attacks

EnsembleFool: A Method to Generate Adversarial Examples Based on Model Fusion Strategy

(2021) Wenyu Peng et al.   COMPUTERS & SECURITY

Deep Image Prior based Defense against Adversarial Examples

(2021) Tao Dai et al.   PATTERN RECOGNITION

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

(2021) Yatie Xiao et al.   PATTERN RECOGNITION

A black-box adversarial attack for poisoning clustering

(2021) Antonio Emanuele Cinà et al.   PATTERN RECOGNITION

(AD)2: Adversarial domain adaptation to defense with adversarial perturbation removal

(2021) Keji Han et al.   PATTERN RECOGNITION

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

(2021) Arka Ghosh et al.   PATTERN RECOGNITION

Ensemble adversarial black-box attacks against deep learning systems

(2020) Jie Hang et al.   PATTERN RECOGNITION

Understanding adversarial attacks on deep learning based medical image analysis systems

(2020) Xingjun Ma et al.   PATTERN RECOGNITION

Coupled adversarial learning for semi-supervised heterogeneous face recognition

(2020) Ran He et al.   PATTERN RECOGNITION

BBAS: Towards Large Scale Effective Ensemble Adversarial Attacks against Deep Neural Network Learning

(2020) Jialie Shen et al.   INFORMATION SCIENCES

Adversarial Attacks in Modulation Recognition With Convolutional Neural Networks

(2020) Yun Lin et al.   IEEE TRANSACTIONS ON RELIABILITY

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

(2020) Haoyang Li et al.   PATTERN RECOGNITION

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

(2018) Battista Biggio et al.   PATTERN RECOGNITION

ImageNet Large Scale Visual Recognition Challenge

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

Deep learning

(2015) Yann LeCun et al.   NATURE

Deep Neural Networks for Acoustic Modeling in Speech Recognition: The Shared Views of Four Research Groups

(2012) Geoffrey Hinton et al.   IEEE SIGNAL PROCESSING MAGAZINE