Review of Artificial Intelligence Adversarial Attack and Defense Technologies

One Pixel Attack for Fooling Deep Neural Networks

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

Threat of Adversarial Attacks on Deep Learning in Computer Vision: A Survey

(2018) Naveed Akhtar et al.   IEEE Access

Virtual Adversarial Training: A Regularization Method for Supervised and Semi-Supervised Learning

(2018) Takeru Miyato et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Dense Associative Memory Is Robust to Adversarial Inputs

(2018) Dmitry Krotov et al.   NEURAL COMPUTATION

Deep Neural Nets as a Method for Quantitative Structure–Activity Relationships

(2015) Junshui Ma et al.   Journal of Chemical Information and Modeling

The human splicing code reveals new insights into the genetic determinants of disease

(2014) H. Y. Xiong et al.   SCIENCE

Connectomic reconstruction of the inner plexiform layer in the mouse retina

(2013) Moritz Helmstaedter et al.   NATURE

Vision-Based Traffic Sign Detection and Analysis for Intelligent Driver Assistance Systems: Perspectives and Survey

(2012) A. Mogelmose et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Man vs. computer: Benchmarking machine learning algorithms for traffic sign recognition

(2012) J. Stallkamp et al.   NEURAL NETWORKS