Microsoft Releases Adversarial ML Threat Matrix

Adversarial ML Threat Matrix is an open framework that enables security analysts to detect, respond to, and remediate threats against ML systems.

Recently, Microsoft announced the release of the Adversarial ML Threat Matrix; which is an industry-focused open framework that empowers security analysts to detect, respond to, and remediate threats against ML systems.
 
Microsoft worked with MITRE to create the framework, along with contributions from 11 other organizations including IBM, NVIDIA, and Bosch.
 
Microsoft said that it found "that most industry practitioners have yet to come to terms with adversarial machine learning. Twenty-five out of the 28 businesses indicated that they don’t have the right tools in place to secure their ML systems"
 
 
Source: Github
 
"This framework is a first step in helping to bring communities together to enable organizations to think about the emerging challenges in securing machine learning systems more holistically." said Mikel Rodriguez, Director of ML Research, MITRE
 
Microsoft said that this initiative is aimed at security analysts and the broader security community. The matrix and the case studies will help in strategizing protection and detection. The framework seeds attacks on Machine Learning systems, so that you can carefully carry out similar exercises in your organizations and validate the monitoring strategies.