AI in Information Security (Clarence Chio, Shape Security & KaiTrust)

August 10th at 6pm, South Park Commons invites you to attend a talk on recent advances in Artificial Intelligence:

Clarence Chio, Shape Security and KaiTrust

AI in Information Security

The incredibly low tolerance for errors and a natural difficulty in collecting data has kept AI away from the hardest security problems. Furthermore, the AI community has not seriously dealt with the problem of reliability and malleability in adversarial contexts till recently. Yet, these guarantees are crucial to the use of AI in security. In this talk, we will discuss the state of AI in security and look at some methods that data and statistics can be used to both hack and secure systems.

About Clarence

Clarence Chio graduated with a B.S. and M.S. in CS from Stanford specializing in data mining and artificial intelligence. He authored the O’Reilly book "Machine Learning and Security", and was a Security Researcher at Shape Security, building a product that protects high valued web assets from automated attacks. Clarence spoke on AI in infosec at DEF CON 24 and a dozen other conferences in over seven countries. He has been a community speaker with Intel, and is also the founder and organizer of the "Data Mining for Cyber Security" meetup group, the largest gathering of security data scientists in the San Francisco Bay Area. His popular DEEP-PWNING deep learning fuzzing framework can be found at https://github.com/cchio/deep-pwning.

Time: August 10th; talk starts at 6pm, discussion to follow.

Location: 112 South Park St, in SOMA.

Dinner and light refreshments will be served.

Space is limited to 40 attendees; RSVP required for each talk.

The SPC AI Speaker Series

The South Park Commons AI tech talk series is being held on Tuesdays/Thursdays at 6 PM through September. This technical speaker series charts the breadth and impact of AI, seeking to answer three questions: (1) What fields and disciplines will be the most critically impacted in the next 5-10 years, (2) What are the specific technical advances that will drive this transformation, and (3) What ethical challenges and risk factors must be addressed.

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