Adaptive defenses that use test-time optimization promise to improve
rob...
Recent work has shown the potential benefit of selective prediction syst...
Robustness to distribution shifts is critical for deploying machine lear...
We develop and rigorously evaluate a deep learning based system that can...
The variational auto-encoder (VAE) is a deep latent variable model that ...
Reliable detection of out-of-distribution (OOD) inputs is increasingly
u...
Recent research has made the surprising finding that state-of-the-art de...