And what if it was hacked? Tactics and Impacts of Adversarial Machine Learning

Proving Ground, Tue, Aug 6, 13:00 - Tue, Aug 6, 13:25 CDT According to the World Economics Forum annual report “Approximately half of executives say that advances in adversarial capabilities (phishing, malware, deep fakes) present the most concernin...

Proving Ground, Tue, Aug 6, 13:00 - Tue, Aug 6, 13:25 CDT

According to the World Economics Forum annual report “Approximately half of executives say that advances in adversarial capabilities (phishing, malware, deep fakes) present the most concerning impact of generative AI on cyber”. It is already a fact that the world is already entering, if not inside, the AI bubble and facing this reality as soon as possible will help companies be better prepared for the future. However, with the velocity required to implement AI and surf into this new technology the risks involved may be put behind to give place to velocity. Based on this scenario this talk is designed to explore the adversarial attacks applied to ML systems and present the results of research made observing cybersecurity communities focused on sharing AI Jailbreaks and how those behave when applied to the most used AIs in the market.

People
Larissa Fonseca