Security Matters: A Survey on Adversarial Machine Learning

no code implementations • 16 Oct 2018 • Guofu Li, Pengjia Zhu, Jin Li, Zhemin Yang, Ning Cao, Zhiyi Chen

Adversarial machine learning is a fast growing research area, which considers the scenarios when machine learning systems may face potential adversarial attackers, who intentionally synthesize input data to make a well-trained model to make mistake.

BIG-bench Machine Learning