Tuesday, September 14, 2021
Join us as Pau Labarta Bajo, Data Scientist and ML Engineer with over eight years of experience will show us how to break multi-million dollar computer vision models using adversarial examples.
Computer vision models based on neural networks have become so good in the last 10 years that nowadays serve as the “eyes” behind many mission-critical systems, like self-driving cars, automatic video surveillance, or face recognition systems in airports. What you probably do not know is that there are easy methods to fool them, forcing them to produce wrong predictions. These methods are theoretically simple and computational feasible and open the door to potentially critical security issues.