Faculty
Dr. Lea Schönherr ist Tenure-Track-Faculty am CISPA Helmholtz-Zentrum für Informationssicherheit. Sie forscht zu Informationssicherheit mit einem Schwerpunkt auf Adversarial Machine Learning. Sie promovierte 2021 an der Ruhr-Universität Bochum, wo sie von Professor Dr.-Ing. Dorothea Kolossa in der Arbeitsgruppe Kognitive Signalverarbeitung betreut wurde. Sie erhielt zwei Stipendien von UbiCrypt (DFG-Graduiertenkolleg) und CASA (DFG-Exzellenzcluster).
GI International Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA)
Adversarial Robustness of AI-Generated Image Detectors in the Real World
GI International Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA)
Whispers in the Machine: Confidentiality in Agentic Systems
International Conference on Acoustics Speech and Signal Processing (ICASSP)
Are Modern Speech Enhancement Systems Vulnerable to Adversarial Attacks?
International Conference on Human Factors in Computing Systems (CHI)
"That's another doom I haven't thought about": A User Study on AI Labels as a Safeguard Against Image-Based Misinformation
Pattern RecognitionBuffer-free class-incremental learning with out-of-distribution detection
Network and Distributed System Security Symposium (NDSS)
Chasing Shadows: Pitfalls in LLM Security Research
Network and Distributed System Security Symposium (NDSS)
Trust Me, I Know This Function: Hijacking LLM Static Analysis using Bias
International Symposium on Software Reliability Engineering (ISSRE)
Code Generation of Smart Contracts with LLMs: A Case Study on Hyperledger Fabric
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