| Machine unlearning of features and labels A Warnecke, L Pirch, C Wressnegger, K Rieck arXiv preprint arXiv:2108.11577, 2021 | 71 | 2021 |
| Tagvet: Vetting malware tags using explainable machine learning L Pirch, A Warnecke, C Wressnegger, K Rieck Proceedings of the 14th European Workshop on Systems Security, 34-40, 2021 | 11 | 2021 |
| Against all odds: Winning the defense challenge in an evasion competition with diversification E Quiring, L Pirch, M Reimsbach, D Arp, K Rieck arXiv preprint arXiv:2010.09569, 2020 | 11 | 2020 |
| Manipulating Feature Visualizations with Gradient Slingshots D Bareeva, MMC Höhne, A Warnecke, L Pirch, KR Müller, K Rieck, ... arXiv preprint arXiv:2401.06122, 2024 | 1 | 2024 |
| Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery E Imgrund, T Ganz, M Härterich, L Pirch, N Risse, K Rieck Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security …, 2023 | 1 | 2023 |
| Cross-Language Differential Testing of JSON Parsers J Möller, F Weißberg, L Pirch, T Eisenhofer, K Rieck | | 2024 |
| Abschlussbericht des Teilvorhabens: Verhaltensanalyse von Schadcode mit maschinellem Lernen im BMBF-Vorhaben: Effiziente Verhaltensanalyse von modernem Schadcode (VAMOS) K Rieck, A Warnecke, L Pirch Technische Universität Braunschweig, 2020 | | 2020 |
