Author

Tim Roith

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#machine learning Jun 2025

Consensus-based optimization for closed-box adversarial attacks and a connection to evolution strategies

This work establishes a connection between the so-called consensus hopping as introduced by Riedl et al. and natural evolution strategies commonly applied in the context of adversarial attacks and rigorously relate both methods to gradient-based optimization schemes.

Tim Roith, Leon Bungert, Philipp Wacker · arXiv.org · 5 citations

Preprint Sep 2026

Consensus-based optimization for linearly separable functions

A reparametrisation scheme is proposed, which provably estimates such a coordinate transformation and then applies CBO in the new variables and shows how this scheme can be interpreted as noise adaptation in CBO.

Christian Fiedler, Tim Roith · 1 citation