Search Results for author: Christian Cosgrove

Found 3 papers, 1 papers with code

Robustness Out of the Box: Compositional Representations Naturally Defend Against Black-Box Patch Attacks

no code implementations1 Dec 2020 Christian Cosgrove, Adam Kortylewski, Chenglin Yang, Alan Yuille

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.

Traffic Sign Recognition

Adversarial Examples for Edge Detection: They Exist, and They Transfer

no code implementations2 Jun 2019 Christian Cosgrove, Alan L. Yuille

Convolutional neural networks have recently advanced the state of the art in many tasks including edge and object boundary detection.

Boundary Detection Edge Detection +3

Cannot find the paper you are looking for? You can Submit a new open access paper.