5 papers
Fingerprinting Inference Systems of Large Language Models
Anna Wimbauer, Jonas Möller, Erik Imgrund +1
The behavior of LLMs does not depend solely on the model itself. Components of the inference system, such as the inference engine, attention backend, and hardware platform, subtly…
Hardware-Triggered Backdoors
Jonas Möller, Erik Imgrund, Thorsten Eisenhofer +1
Machine learning models are routinely deployed on a wide range of computing hardware. Although such hardware is typically expected to produce identical results, differences in its…
LLM-based Vulnerability Discovery through the Lens of Code Metrics
Felix Weissberg, Lukas Pirch, Erik Imgrund +3
Large language models (LLMs) excel in many tasks of software engineering, yet progress in leveraging them for vulnerability discovery has stalled in recent years. To understand thi…
Dancer in the Dark: Synthesizing and Evaluating Polyglots for Blind Cross-Site Scripting
Robin Kirchner, Jonas Möller, Marius Musch +3
Cross-Site Scripting (XSS) is a prevalent and well known security problem in web applications. Numerous methods to automatically analyze and detect these vulnerabilities exist. How…
SoK: Where to Fuzz? Assessing Target Selection Methods in Directed Fuzzing
Felix Weissberg, Jonas Möller, Tom Ganz +6
A common paradigm for improving fuzzing performance is to focus on selected regions of a program rather than its entirety. While previous work has largely explored how these locati…