GeekPwn 2018: Fooling AI is not actually as hard as you think it is

Editor’s note: This article was supported by GeekPwn. We believe in transparency in our publishing and monetization model. Read more here.

You may have heard the machine learning term, “adversarial examples”, and perhaps even seen some demonstrations of it. However, have you ever seen a contest in adversarial attacks and defenses that happens in real-time?

To boost research on adversarial examples, GeekPwn 2018, the AI tech platform working on cutting edge security issues, has designed a Competition of Adversarial attacks and Defenses (CAAD) focused on image recognition security. Three sub-competitions are on the agenda for this year’s challenge, officially launched in May.

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