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

Adversarial example detection for DNN models: a review and experimental comparison

(2022) Ahmed Aldahdooh et al.   ARTIFICIAL INTELLIGENCE REVIEW

A Context-Enhanced Sentence Representation Learning method for Close Domains with Topic Modeling

(2022) Shuangyin Li et al.   INFORMATION SCIENCES

PSP-PJMI: An innovative feature representation algorithm for identifying DNA N4-methylcytosine sites

(2022) Mingzhao Wang et al.   INFORMATION SCIENCES

Document-level event causality identification via graph inference mechanism

(2021) Kun Zhao et al.   INFORMATION SCIENCES

Boosting Adversarial Attacks on Neural Networks with Better Optimizer

(2021) Heng Yin et al.   Security and Communication Networks

Towards explaining anomalies: A deep Taylor decomposition of one-class models

(2020) Jacob Kauffmann et al.   PATTERN RECOGNITION

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

(2020) Jialie Shen et al.   INFORMATION SCIENCES

Black-box adversarial attacks by manipulating image attributes

(2020) Xingxing Wei et al.   INFORMATION SCIENCES

One Pixel Attack for Fooling Deep Neural Networks

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

Explaining nonlinear classification decisions with deep Taylor decomposition

(2017) Grégoire Montavon et al.   PATTERN RECOGNITION