Faculty
Thorsten Eisenhofer is a tenure-track faculty at CISPA Helmholtz Center for Information Security in Saarbrücken, Germany. He previously worked as a postdoctoral researcher at BIFOLD and TU Berlin and earned his PhD from Ruhr University Bochum, where he was part of the Cluster of Excellence CASA. His research focuses on machine learning and computer security, particularly on attacks against learning-based models and defenses to improve their robustness. This work often involves looking beyond the model itself and examining the entire computational pipeline, including the underlying hardware and software stack.
GI International Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA) Whispers in the Machine: Confidentiality in Agentic Systems
ACM ASIA Conference on Computer and Communications Security (AsiaCCS) Shape-Shifting Malicious Code in Software Backdoors via Language Models
International Conference on Software Engineering (ICSE) LLM-based Vulnerability Discovery through the Lens of Code Metrics
Network and Distributed System Security Symposium (NDSS) Chasing Shadows: Pitfalls in LLM Security Research
Usenix Security Symposium (USENIX-Security) Prompt Obfuscation for Large Language Models
GI International Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA) Exploring the Potential of LLMs for Code Deobfuscation
IEEE Conference on Secure and Trustworthy Machine Learning (SaTML) Verifiable and Provably Secure Machine Unlearning
ACM Conference on Computer and Communications Security (CCS) Adversarial Observations in Weather Forecasting
International Conference on Machine Learning (ICML) Adversarial Inputs for Linear Algebra Backends
Usenix Security Symposium (USENIX-Security) Seeing Through: Analyzing and Attacking Virtual Backgrounds in Video Calls