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cs.LG2024
Adversarial flows: A gradient flow characterization of adversarial attacks
Lukas Weigand, Tim Roith, Martin Burger
A popular method to perform adversarial attacks on neuronal networks is the so-called fast gradient sign method and its iterative variant. In this paper, we interpret this method a…
math.OC2024
Analysis of Primal-Dual Langevin Algorithms
Martin Burger, Matthias J. Ehrhardt, Lorenz Kuger +1
We analyze a recently proposed class of algorithms for the problem of sampling from probability distributions in with a Lebesgue density of the form $μ^\ast…