This is an amalgam of TTP's on different offensive ML attacks encompassing the ML supply chain and adversarial ML attacks.
It is focused heavily on attacks that have code you can use to perform the attacks right away, rather than a database of research papers. (PoC or GTFO type logic). Generally speaking if it is here I have tested it and it works. The intent is to help red teams and offensive practitioners quickly understand what tool in the toolbox to use to attack ML environments.

This is a living vault. It is very much not a finished list of resources. There are pages that are polished, and some that are little more than placeholders with a few bullet points that I jotted down during conferences or on the fly.

The goal is to organize the attacks in a way that is useful to red team operators rather than useful for say, academics trying to understand adversarial ML.