Hyung-Jin Yoon

Learning When to Use Adaptive Adversarial Image Perturbations Against Autonomous Vehicles

Deep neural network (DNN) models are widely used in autonomous vehicles for object detection using camera images. However, these models are vulnerable to adversarial image perturbations. Existing methods for generating these perturbations use the image frame as the decision variable, resulting in a