MITRE ATLAS - Defining the ML System Attack Chain & Needing MLSecOps | The MLSecOps Podcast скачать в хорошем качестве

MITRE ATLAS - Defining the ML System Attack Chain & Needing MLSecOps | The MLSecOps Podcast

The MLSecOps Podcast | Season 1 Episode 5 With Guest Christina Liaghati, PhD This week The MLSecOps Podcast talks with Dr. Christina Liaghati, AI Strategy Execution & Operations Manager of the AI & Autonomy Innovation Center at MITRE. Chris King, Head of Product at Protect AI, guest-hosts with regular co-host D Dehghanpisheh this week. D and Chris discuss various AI and machine learning security topics with Dr. Liaghati, including the contrasts between the MITRE ATT&CK matrices focused on traditional cybersecurity, and the newer AI-focused MITRE ATLAS matrix. The group also dives into consideration of new classifications of ML attacks related to large language models, ATLAS case studies, security practices such as ML red teaming, and integrating security into MLOps. Thanks for listening! Find more episodes and read the transcript at: https://bit.ly/MLSecOpsPodcast. Additional MLSecOps and AI Security tools and resources to check out: Protect AI Radar (https://bit.ly/ProtectAIRadar) ModelScan (https://bit.ly/ModelScan) Protect AI’s ML Security-Focused Open Source Tools (https://bit.ly/ProtectAIGitHub) Huntr - The World's First AI/Machine Learning Bug Bounty Platform (https://bit.ly/aimlhuntr)