Practical AI Red Teaming - A Facial Recognition Case Study

Explore practical AI red teaming techniques in this conference talk focusing on facial recognition systems. Dive into the details of a real-world engagement testing both software and hardware solutions to identify critical vulnerabilities. Learn about the creation of an attack taxonomy and evaluation of recent approaches to compromising facial recognition algorithms. Discover insights from research conducted in authentic environments using various cameras and algorithms. Gain understanding of the prevalence of facial recognition technology, its vulnerabilities to adversarial attacks, and the cybersecurity implications. Examine the effectiveness of different attack methods, both digital and physical, against facial recognition systems. Consider defensive strategies and approaches to securing AI throughout its lifecycle. Benefit from the expertise of Alex Polyakov, a trusted AI and cybersecurity expert, as he shares findings from over 18 years of practical experience in the field.