At DEF CON 24, we caught up with speaker Clarence Chio to discuss his research and current project dealing with adversarial machine learning and machine learning vulnerabilities.

Clarence gives our host, Alicia Webb, a hacking demo involving an image classification engine and the issues it has once a noise vector is added. He also informs us of his open source project, Deep- Pwning ‘Metaspolit for Machine Learning’ which allows you to generate noise vectors in hopes that people will continue to test machine learning vulnerabilities and build upon the outcome.

Deep- Pwning on GitHub: https://github.com/cchio/deep-pwning

Stay tuned for lots more coverage from Def Con 24 in Las Vegas.

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