24 citations · 41 across the 8 of their papers we have counts for
5 papers · 1 filter
Measuring Security Without Fooling Ourselves: Why Benchmarking Agents Is Hard
Sahar Abdelnabi, Chris Hicks, Konrad Rieck +1
The benchmarks used to evaluate AI agents in security-critical roles suffer from crucial weaknesses. Building on recent empirical evidence, we characterize three core challenges th…
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…
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…
Dos and Don'ts of Machine Learning in Computer Security
Daniel Arp, Erwin Quiring, Feargus Pendlebury +5
With the growing processing power of computing systems and the increasing availability of massive datasets, machine learning algorithms have led to major breakthroughs in many diff…