Hacking AI: Security & Privacy of Machine Learning Models

Tuesday, May 11, 2021 10:00 am - 11:00 am

In this webinar, Professor Dan Boneh will discuss recent work at the intersection of cybersecurity and machine learning. Specifically, he will explore an area known as “adversarial machine learning” which looks at the stability of machine learning models in the presence of adversarial behavior.

You Will Learn:
  • What recent research on adversarial behavior tells us about machine learning models
  • How to protect classification and training processes from attacks
  • Ways to insure the privacy of underlying training data
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