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.
]]>Machine learning has the promise to improve our world, and in many ways it already has. However, research and lived experiences continue to show this technology has risks. Capabilities that used to be restricted to science fiction and academia are increasingly available to the public. The responsible use and development of AI requires categorizing, assessing, and mitigating enumerated risks where…
]]>Machine learning (ML) security is a new discipline focused on the security of machine learning systems and the data they are built upon. It exists at the intersection of the information security and data science domains. While the state-of-the-art moves forward, there is no clear onboarding and learning path for securing and testing machine learning systems. How, then…
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