Understanding the decision boundary of deep neural networks: An empirical study D Mickisch, F Assion, F Greßner, W Günther, M Motta arXiv preprint arXiv:2002.01810, 2020 | 35 | 2020 |
The attack generator: A systematic approach towards constructing adversarial attacks F Assion, P Schlicht, F Greßner, W Gunther, F Huger, N Schmidt, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 21 | 2019 |
Risk assessment for machine learning models P Schwerdtner, F Greßner, N Kapoor, F Assion, R Sass, W Günther, ... arXiv preprint arXiv:2011.04328, 2020 | 7 | 2020 |
Method for Providing an Explanation Dataset for an AI Module, Computer-Readable Storage Medium, Device and System F Assion, FF Greßner, S Hinze, F Kretschmer, BJ Wagner US Patent App. 17/778,724, 2023 | | 2023 |
A Framework for Verification of Wasserstein Adversarial Robustness T Wegel, F Assion, D Mickisch, F Greßner arXiv preprint arXiv:2110.06816, 2021 | | 2021 |
EvolMusic: towards musical adversarial examples for black-box attacks on speech-to-text M Motta, T Hagemann, S Fischer, F Assion Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021 | | 2021 |