24 citations · 41 across the 8 of their papers we have counts for
5 papers · 1 filter
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…
Adversarial Observations in Weather Forecasting
Erik Imgrund, Thorsten Eisenhofer, Konrad Rieck
AI-based systems, such as Google's GenCast, have recently redefined the state of the art in weather forecasting, offering more accurate and timely predictions of both everyday weat…
On the Role of Pre-trained Embeddings in Binary Code Analysis
Alwin Maier, Felix Weissberg, Konrad Rieck
Deep learning has enabled remarkable progress in binary code analysis. In particular, pre-trained embeddings of assembly code have become a gold standard for solving analysis tasks…
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…
Lazy Gatekeepers: A Large-Scale Study on SPF Configuration in the Wild
Stefan Czybik, Micha Horlboge, Konrad Rieck
The Sender Policy Framework (SPF) is a basic mechanism for authorizing the use of domains in email. In combination with other mechanisms, it serves as a cornerstone for protecting…