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Found 7 papers, 4 papers with code
The Intrinsic Dimension of Images and Its Impact on Learning
We find that common natural image datasets indeed have very low intrinsic dimension relative to the high number of pixels in the images.
Detection as Regression: Certified Object Detection with Median Smoothing
Despite the vulnerability of object detectors to adversarial attacks, very few defenses are known to date.
Detection as Regression: Certified Object Detection by Median Smoothing
While adversarial training can improve the empirical robustness of image classifiers, a direct extension to object detection is very expensive.
Headless Horseman: Adversarial Attacks on Transfer Learning Models
We first demonstrate successful transfer attacks against a victim network using \textit{only} its feature extractor.
Certified Defenses for Adversarial Patches
Adversarial patch attacks are among one of the most practical threat models against real-world computer vision systems.
VoroCrust: Voronoi Meshing Without Clipping
The VoroCrust algorithm is the first provably-correct algorithm for conforming polyhedral Voronoi meshing for non-convex and non-manifold domains with guarantees on the quality of both surface and volume elements.
Graphics Computational Geometry I.3.5
On the Complexity of Slide-and-Merge Games
We study the complexity of a particular class of board games, which we call `slide and merge' games.
Computational Complexity F.2.2
