Berryville IML has released a new report detailing methods for measuring security in machine learning systems, drawing parallels to established software security practices. The report, available for free under a creative commons license, aims to provide actionable insights for applied ML security. AI
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IMPACT Provides a framework for assessing and improving the security posture of machine learning systems.
RANK_REASON The cluster discusses a new report and methodology for measuring ML security, which falls under research.