In this talk, we will conduct an examination of the methodologies employed by adversaries to exploit machine learning systems and leverage these systems for their benefit. We will delve into various attack vectors, such as evasion and poisoning, and discuss the current use cases of machine learning and AI being employed by threat actors. Participants will gain insight into the latest defensive applications of machine learning, along with strategies for mitigating risks posed by new and evolving threats. This session aims to equip attendees with an understanding of both offensive and defensive aspects of machine learning in cybersecurity, fostering a proactive approach to safeguarding these advanced systems.
