Guidance for identifying and reporting Microsoft security vulnerabilities| www.microsoft.com
This NIST AI report develops a taxonomy of concepts and defines terminology in the field of adversarial machine learning (AML). The taxonomy is built on survey of the AML literature and is arranged in a conceptual hierarchy that includes key types of ML methods and lifecycle stage of attack, attacker goals and objectives, and attacker capabilities and knowledge of the learning process. The report also provides corresponding methods for mitigating and managing the consequences of attacks an...| csrc.nist.gov
Microsoft Vulnerability Severity Classification for Online Services | www.microsoft.com
Microsoft Vulnerability Severity Classification for AI Systems| www.microsoft.com
Aims to educate developers, designers, architects, managers, and organizations about the potential security risks when deploying and managing Large Language Models (LLMs)| owasp.org