Attack on image classifiers by a image solarization through greedy random search.

A regularization criterion that, differently from [dropout](https://paperswithcode.com/method/dropout) and its variants, is deterministic rather than random. It grounds on the empirical evidence that feature descriptors with larger L2-norm and highly-active nodes are strongly correlated to confident class predictions. Thus, the criterion guides towards dropping a percentage of the most active nodes of the descriptors, proportionally to the estimated class probability

RandSol

Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers

**Parametric UMAP** is a non-parametric graph-based dimensionality reduction algorithm that extends the second step of [UMAP](https://www.paperswithcode.com/method/umap) to a parametric optimization over neural network weights, learning a parametric relationship between data and embedding.

Source	Don't Look into the Sun: Adversarial Solarization Attacks on Image Classifiers
Year	2000
Data Source	CC BY-SA - https://paperswithcode.com