Perception Deception - Physical Adversarial Attack Challenges
Explore the challenges and tactics of physical adversarial attacks on deep neural network-based object detection systems in this Black Hat conference talk. Dive into the fundamentals of YOLOv3, a state-of-the-art object detection method, and examine the progression from digital to physical attacks considering environmental constraints. Learn about car safety, perception while driving, and the current status of adversarial examples. Investigate the impact of L2 norm perturbations on DNNs and delve into physical white box attacks against YOLOv3. Discover techniques for object fabrication and vanishing, color management, and optimization strategies to overcome various challenges in implementing successful physical attacks. Gain valuable insights into the vulnerabilities of AI-powered object detection systems and potential countermeasures.