The challenges of machine learning in adversarial settings: a systems perspective

Artificial Intelligence

Event Details

Hosted by the Center for Applied Cybersecurity Research

This talk explores the rapidly evolving use of machine learning in security-sensitive contexts and explores why many systems are vulnerable to nonobvious and potentially dangerous manipulation. It concludes with a discussion of the technological, economic, and societal challenges that are a result of the rise of machine learning as a fundamental construct of computational systems.

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