Adaptive defenses that use test-time optimization promise to improve
rob...
Many optimization methods for generating black-box adversarial examples ...
Semantic Embeddings are a popular way to represent knowledge in the fiel...
Although many research vehicle platforms for autonomous driving have bee...
We study the problem of safety verification of direct perception neural
...
By interpreting a traffic scene as a graph of interacting vehicles, we g...
We consider adversarial examples in the black-box decision-based scenari...