353 citations · 1.3k across the 38 of their papers we have counts for
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cs.CV2022★ 25 cited
Towards the Detection of Diffusion Model Deepfakes
Jonas Ricker, Simon Damm, Thorsten Holz +1
In the course of the past few years, diffusion models (DMs) have reached an unprecedented level of visual quality. However, relatively little attention has been paid to the detecti…
cs.LG2022★ 2 cited
Marginal Tail-Adaptive Normalizing Flows
Mike Laszkiewicz, Johannes Lederer, Asja Fischer
Learning the tail behavior of a distribution is a notoriously difficult problem. By definition, the number of samples from the tail is small, and deep generative models, such as no…
cs.LG2022★ 2 cited
How Sampling Impacts the Robustness of Stochastic Neural Networks
Sina Däubener, Asja Fischer
Stochastic neural networks (SNNs) are random functions whose predictions are gained by averaging over multiple realizations. Consequently, a gradient-based adversarial example is c…