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AI & Security: Lessons and Challenges
Recorded at:

| by Dawn Song Follow 0 Followers on Apr 24, 2018 | NOTICE: The next QCon is in San Francisco Nov 5 - 9, 2018. Save an extra $100 with INFOQSF18!
45:17

Summary
Dawn Song presents recent results in the area of secure deep learning and how deep learning systems could be easily fooled and what we need to do to address the issues. She also talks about how AI and deep learning can help enable new capabilities in security applications: how AI and deep learning can enable better security, and how security can enable better AI.

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Bio

Dawn Song is a Professor in the Department of Electrical Engineering and Computer Science at UC Berkeley. Her research interest lies in deep learning and security. She has studied diverse security and privacy issues in computer systems and networks, including areas ranging from software security, networking security, database security, applied cryptography, to the intersection of ML and security.

Software is changing the world. QCon empowers software development by facilitating the spread of knowledge and innovation in the developer community. A practitioner-driven conference, QCon is designed for technical team leads, architects, engineering directors, and project managers who influence innovation in their teams.

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