Adversarial Examples on Object 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

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

(2018) Naveed Akhtar et al.   IEEE Access

A Survey on Security Threats and Defensive Techniques of Machine Learning: A Data Driven View

(2018) Qiang Liu et al.   IEEE Access

Dense Associative Memory Is Robust to Adversarial Inputs

(2018) Dmitry Krotov et al.   NEURAL COMPUTATION

Analysis of classifiers’ robustness to adversarial perturbations

(2017) Alhussein Fawzi et al.   MACHINE LEARNING

Security Evaluation of Pattern Classifiers under Attack

(2013) Battista Biggio et al.   IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

The security of machine learning

(2010) Marco Barreno et al.   MACHINE LEARNING