PAVUDI: Patch-based Vulnerability Discovery using Machine Learning. - Tom Ganz; Erik Imgrund; Martin Härterich; Konrad Rieck (ACSAC, 2023)

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)

CodeGraphSMOTE - Data Augmentation for Vulnerability Discovery. - Tom Ganz; Erik Imgrund; Martin Härterich; Konrad Rieck (DBSec, 2023)

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)

Adversarial Observations in Weather Forecasting. - Erik Imgrund; Thorsten Eisenhofer; Konrad Rieck (CoRR, 2025)