25 citations · 27 across the 5 of their papers we have counts for
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cs.LG2020★ 2 cited
Risk Assessment for Machine Learning Models
Paul Schwerdtner, Florens Greßner, Nikhil Kapoor +5
In this paper we propose a framework for assessing the risk associated with deploying a machine learning model in a specified environment. For that we carry over the risk definitio…
cs.LG2020★ 25 cited
Understanding the Decision Boundary of Deep Neural Networks: An Empirical Study
David Mickisch, Felix Assion, Florens Greßner +2
Despite achieving remarkable performance on many image classification tasks, state-of-the-art machine learning (ML) classifiers remain vulnerable to small input perturbations. Espe…