Paper

Verification of Neural Networks: Specifying Global Robustness using Generative Models

The success of neural networks across most machine learning tasks and the persistence of adversarial examples have made the verification of such models an important quest. Several techniques have been successfully developed to verify robustness, and are now able to evaluate neural networks with thousands of nodes... (read more)

Results in Papers With Code
(↓ scroll down to see all results)