Defining adversarial ML
An adversary is someone who opposes someone else. It’s an apt term for defining adversarial ML because one group is opposing another group. In some cases, the opposing group is trying to be helpful, such as when researchers discover a potential security hole in an ML model and then work to solve it. However, most adversaries in ML have goals other than being helpful. In all cases, adversarial ML consists of using a particular attack vector to achieve goals defined by the attacker’s mindset. The following sections will help you understand the dynamics of adversarial ML and what it presents, such as the huge potential for damaging your application.
Wearing many hats
All hackers deal with working with code at a lower level than most developers do, some at a very low level. However, there are multiple kinds of hackers and you can tell who they are by the hat they wear. Most people know that white hat hackers are the good guys who look for vulnerabilities...
