Search Results for author:
Found 3 papers, 1 papers with code
Holistic Evaluation of Language Models
We present Holistic Evaluation of Language Models (HELM) to improve the transparency of language models.
Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks
Second, we find that compositional deep networks, which have part-based representations that lead to innate robustness to natural occlusion, are robust to patch attacks on PASCAL3D+ and the German Traffic Sign Recognition Benchmark, without adversarial training.
Adversarial Examples for Edge Detection: They Exist, and They Transfer
Convolutional neural networks have recently advanced the state of the art in many tasks including edge and object boundary detection.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
