I am a PhD student at Technische Universität Berlin. I am part of the Chair of Machine Learning and Security within the Berlin Institute for the Foundations of Learning and Data (BIFOLD).
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing.
Proc. of the 19th ACM Asia Conference on Computer and Communications Security (ASIACCS), 2024.
Cross-Language Differential Testing of JSON Parsers.
Proc. of the 19th ACM Asia Conference on Computer and Communications Security (ASIACCS), 2024.
Manipulating Feature Visualizations with Gradient Slingshots.
Technical report, arXiv:2401.06122, 2024.
Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery.
Proc. of the 16th ACM Workshop on Artificial Intelligence and Security (AISEC), 2023.
Machine Unlearning of Features and Labels.
Proc. of the 30th Network and Distributed System Security Symposium (NDSS), 2023.
TagVet: Vetting Malware Tags using Explainable Machine Learning.
Proc. of the 14th ACM European Workshop on Systems Security (EuroSec), 2021.
Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification.
Technical report, arXiv:2010.09569, 2020.