As AI models grow in capability and cost of creation, and hold more sensitive or proprietary data, securing them at rest is increasingly important. Organizations are designing policies and tools, often as part of data loss prevention and secure supply chain programs, to protect model weights. While security engineering discussions focus on prevention (How do we prevent X?), detection (Did X…
]]>At Black Hat USA 2023, NVIDIA hosted a two-day training session that provided security professionals with a realistic environment and methodology to explore the unique risks presented by machine learning (ML) in today’s environments. In this post, the NVIDIA AI Red Team shares what was covered during the training and other opportunities to continue learning about ML security.
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