Against All Odds: Winning the Defense Challenge in an Evasion Competition with Diversification. - Erwin Quiring; Lukas Pirch; Michael Reimsbach; Daniel Arp; Konrad Rieck (CoRR, 2020)

TagVet: Vetting Malware Tags using Explainable Machine Learning. - Lukas Pirch; Alexander Warnecke; Christian Wressnegger; Konrad Rieck (EuroSec@EuroSys, 2021)

Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery. - Erik Imgrund; Tom Ganz; Martin Härterich; Lukas Pirch; Niklas Risse; Konrad Rieck (AISec@CCS, 2023)

Machine Unlearning of Features and Labels. - Alexander Warnecke; Lukas Pirch; Christian Wressnegger; Konrad Rieck (NDSS, 2023)

Cross-Language Differential Testing of JSON Parsers. - Jonas Möller; Felix Weißberg; Lukas Pirch; Thorsten Eisenhofer; Konrad Rieck (AsiaCCS, 2024)

SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing. - Felix Weissberg; Jonas Möller; Tom Ganz; Erik Imgrund; Lukas Pirch; Lukas Seidel; Moritz Schloegel; Thorsten Eisenhofer; Konrad Rieck (AsiaCCS, 2024)

Manipulating Feature Visualizations with Gradient Slingshots. - Dilyara Bareeva; Marina M.-C. Höhne; Alexander Warnecke; Lukas Pirch; Klaus-Robert Müller; Konrad Rieck; Kirill Bykov (CoRR, 2024)