The document was issued by academy or academy organization.
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ABSTRACT: Humans have goals, hopes, dreams, and fears. Humans are brilliant. They make incredible intuitive inferences. They conceptualize amazing algorithms to augment cybersecurity. But they can be misled; tricked; fooled into carrying out actions counter to their own best-interests.
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ABSTRACT
Recent research suggests that modern machine learning methods are fragile and easily attacked, which raises concerns about their use in security-critical settings. I will survey several attacks on machine learning and directions for making machine learning more robust against attack. I will also briefly mention my own research in this area.
