Episode Details

Guests: 

Vas Mavroudis, Principal Research Scientist, The Alan Turing Institute

Website | https://mavroud.is/

At BlackHat | https://www.blackhat.com/us-24/briefings/schedule/speakers.html#vasilios-mavroudis-34757

Jamie Gawith, Assistant Professor of Electrical Engineering, University of Bath

On LinkedIn | https://www.linkedin.com/in/jamie-gawith-63560b60/

At BlackHat | https://www.blackhat.com/us-24/briefings/schedule/speakers.html#jamie-gawith-48261

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Hosts: 

Sean Martin, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining CyberSecurity Podcast [@RedefiningCyber]

On ITSPmagazine | https://www.itspmagazine.com/sean-martin

Marco Ciappelli, Co-Founder at ITSPmagazine [@ITSPmagazine] and Host of Redefining Society Podcast

On ITSPmagazine | https://www.itspmagazine.com/itspmagazine-podcast-radio-hosts/marco-ciappelli

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Episode Notes

As Black Hat Conference 2024 approaches, Sean Martin and Marco Ciappelli are gearing up for a conversation about the complexities of deep reinforcement learning and the potential cybersecurity threats posed by backdoors in these systems. They will be joined by Vas Mavroudis from the Alan Turing Institute and Jamie Gawith from the University of Bath, who will be presenting their cutting-edge research at the event.

Setting the Stage: The discussion begins with Sean and Marco sharing their excitement about the upcoming conference. They set a professional and engaging tone, seamlessly leading into the introduction of their guests, Jamie and Vas.

The Core Discussion: Sean introduces the main focus of their upcoming session, titled "Backdoors in Deep Reinforcement Learning Agents." Expressing curiosity and anticipation, he invites Jamie and Vas to share more about their backgrounds and the significance of their work in this area.

Expert Introductions: Jamie Gawith explains his journey from working in power electronics and nuclear fusion to focusing on cybersecurity. His collaboration with Vas arose from a shared interest in using reinforcement learning agents for controlling nuclear fusion reactors. He describes the crucial role these agents play and the potential risks associated with their deployment in critical environments.

Vas Mavroudis introduces himself as a principal research scientist at the Alan Turing Institute, leading a team focused on autonomous cyber defense. His work involves developing and securing autonomous agents tasked with defending networks and systems from cyber threats. The conversation highlights the vulnerabilities of these agents to backdoors and the need for robust security measures.

Deep Dive into Reinforcement Learning: Vas offers an overview of reinforcement learning, highlighting its differences from supervised and unsupervised learning. He emphasizes the importance of real-world experiences in training these agents to make optimal decisions through trial and error. The conversation also touches on the use of deep