A survey on adversarial attacks in computer vision: Taxonomy, visualization and future directions

White-box content camouflage attacks against deep learning

(2022) Tianrong Chen et al.   COMPUTERS & SECURITY

A Survey on Adversarial Attack in the Age of Artificial Intelligence

(2021) Zixiao Kong et al.   WIRELESS COMMUNICATIONS & MOBILE COMPUTING

Derivative-free optimization adversarial attacks for graph convolutional networks

(2021) Runze Yang et al.   PeerJ Computer Science

FE-DaST: Fast and effective data-free substitute training for black-box adversarial attacks

(2021) Mengran Yu et al.   COMPUTERS & SECURITY

Sample Based Fast Adversarial Attack Method

(2019) Zhi-Ming Wang et al.   NEURAL PROCESSING LETTERS

One Pixel Attack for Fooling Deep Neural Networks

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

Graphics and Media Technologies for Operators in Industry 4.0

(2018) Jorge Posada et al.   IEEE COMPUTER GRAPHICS AND APPLICATIONS

Detecting Adversarial Image Examples in Deep Neural Networks with Adaptive Noise Reduction

(2018) Bin Liang et al.   IEEE Transactions on Dependable and Secure Computing

bibliometrix : An R-tool for comprehensive science mapping analysis

(2017) Massimo Aria et al.   Journal of Informetrics

Connectomic reconstruction of the inner plexiform layer in the mouse retina

(2013) Moritz Helmstaedter et al.   NATURE

Triple Helix indicators as an emergent area of enquiry: a bibliometric perspective

(2013) Martin Meyer et al.   SCIENTOMETRICS

Emerging trends in regenerative medicine: a scientometric analysis inCiteSpace

(2012) Chaomei Chen et al.   EXPERT OPINION ON BIOLOGICAL THERAPY

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