Search Results for author: Yannik Potdevin

Found 2 papers, 1 papers with code

Responsible and Regulatory Conform Machine Learning for Medicine: A Survey of Challenges and Solutions

no code implementations20 Jul 2021 Eike Petersen, Yannik Potdevin, Esfandiar Mohammadi, Stephan Zidowitz, Sabrina Breyer, Dirk Nowotka, Sandra Henn, Ludwig Pechmann, Martin Leucker, Philipp Rostalski, Christian Herzog

This survey provides an overview of the technical and procedural challenges involved in creating medical machine learning systems responsibly and in conformity with existing regulations, as well as possible solutions to address these challenges.

BIG-bench Machine Learning Federated Learning +1

An Empirical Investigation of Randomized Defenses against Adversarial Attacks

1 code implementation12 Sep 2019 Yannik Potdevin, Dirk Nowotka, Vijay Ganesh

In this paper, we propose a scientific evaluation methodology aimed at assessing the quality, efficacy, robustness and efficiency of randomized defenses to protect DNNs against adversarial examples.

Adversarial Attack General Classification +1

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