Erik Imgrund

According to our database, Erik Imgrund authored at least 10 papers between 2023 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Fingerprinting Inference Systems of Large Language Models.

Anna Wimbauer, Jonas Möller, Erik Imgrund, Konrad Rieck

CoRR, May, 2026

When a Zero-Shooter Cheats: Improving Age Estimation via Activation Steering.

Erik Imgrund, Pia Hanfeld, Klim Kireev, Konrad Rieck

CoRR, May, 2026

Hardware-Triggered Backdoors.

Jonas Möller, Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck

CoRR, January, 2026

Shape-Shifting Malicious Code in Software Backdoors via Language Models.

Mohammad Ebrahimi Fard, Felix Weissberg, Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck

Proceedings of the ACM Asia Conference on Computer and Communications Security, 2026

2025

LLM-based Vulnerability Discovery through the Lens of Code Metrics.

Felix Weissberg, Lukas Pirch, Erik Imgrund, Jonas Möller, Thorsten Eisenhofer, Konrad Rieck

CoRR, September, 2025

Adversarial Observations in Weather Forecasting.

Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck

Proceedings of the 2025 ACM SIGSAC Conference on Computer and Communications Security, 2025

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

Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024

2023

CodeGraphSMOTE - Data Augmentation for Vulnerability Discovery.

Tom Ganz, Erik Imgrund, Martin Härterich, Konrad Rieck

Proceedings of the Data and Applications Security and Privacy XXXVII, 2023

Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery.

Erik Imgrund, Tom Ganz, Martin Härterich, Lukas Pirch, Niklas Risse, Konrad Rieck

Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

PAVUDI: Patch-based Vulnerability Discovery using Machine Learning.

Tom Ganz, Erik Imgrund, Martin Härterich, Konrad Rieck

Proceedings of the Annual Computer Security Applications Conference, 2023