Search Results for author:
Found 3 papers, 1 papers with code
Explorations in Texture Learning
In this work, we investigate \textit{texture learning}: the identification of textures learned by object classification models, and the extent to which they rely on these textures.
The Space of Adversarial Strategies
From our evaluation we find that attack performance to be highly contextual: the domain, model robustness, and threat model can have a profound influence on attack efficacy.
On the Robustness of Domain Constraints
Machine learning is vulnerable to adversarial examples-inputs designed to cause models to perform poorly.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
