Lukas Pirch

TEL 809
FG Machine Learning and Security
Technische Universität Berlin
Ernst-Reuter-Platz 7
10587 Berlin, Germany

About me

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).


Manipulating Feature Visualizations with Gradient Slingshots.
Dilyara Bareeva, Marina Höhne, Alexander Warnecke, Lukas Pirch, Klaus-Robert Müller, Konrad Rieck and Kirill Bykov.
Technical report, arXiv:2401.06122, 2024.


Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery.
Erik Imgrund, Tom Ganz, Martin Härterich, Niklas Risse, Lukas Pirch and Konrad Rieck.
Proc. of the 16th ACM Workshop on Artificial Intelligence and Security (AISEC), 2023.


Machine Unlearning of Features and Labels.
Alexander Warnecke, Lukas Pirch, Christian Wressnegger and Konrad Rieck.
Proc. of the 30th Network and Distributed System Security Symposium (NDSS), 2023.

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TagVet: Vetting Malware Tags using Explainable Machine Learning.
Lukas Pirch, Alexander Warnecke, Christian Wressnegger and Konrad Rieck.
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.
Erwin Quiring, Lukas Pirch, Michael Reimsbach, Daniel Arp and Konrad Rieck.
Technical report, arXiv:2010.09569, 2020.

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