What is Adversarial machine learning?
Adversarial machine learning Definition: Study of attacks against machine learning systems
Understanding Adversarial machine learning
A field that studies vulnerabilities of machine learning systems to attacks and develops techniques to make these systems more robust against such attacks which can include data poisoning evasion or model extraction