Search Results for author: Decebal Mocanu

Found 2 papers, 1 papers with code

Softmax-based Classification is k-means Clustering: Formal Proof, Consequences for Adversarial Attacks, and Improvement through Centroid Based Tailoring

no code implementations7 Jan 2020 Sibylle Hess, Wouter Duivesteijn, Decebal Mocanu

We formally prove that networks with a small Lipschitz modulus (which corresponds to a low susceptibility to adversarial attacks) map data points closer to the cluster centroids, which results in a mapping to a k-means-friendly space.

Clustering

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