Role of Spatial Context in Adversarial Robustness for Object Detection

Understand

The benefits of utilizing spatial context in fast object detection algorithms have been studied extensively.

• Detectors increase inference speed by doing a single forward pass per image which means they implicitly use contextual reasoning for their predictions.
• However, one can show that an adversary can design adversarial patches which do not overlap with any objects of interest in the scene and exploit contextual reasoning to fool standard detectors.
• In this paper, we examine this problem and design category specific adversarial patches which make a widely used object detector like YOLO blind to an attacker chosen object category.