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cs.CR2025★ 4 cited
Chasing Shadows: Pitfalls in LLM Security Research
Jonathan Evertz, Niklas Risse, Nicolai Neuer +12
Large language models (LLMs) are increasingly prevalent in security research. Their unique characteristics, however, introduce challenges that undermine established paradigms of re…
cs.CR2024
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection
Niklas Risse, Jing Liu, Marcel Böhme
According to our survey of machine learning for vulnerability detection (ML4VD), 9 in every 10 papers published in the past five years define ML4VD as a function-level binary class…
cs.CR2023★ 3 cited
Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection
Niklas Risse, Marcel Böhme
Recent results of machine learning for automatic vulnerability detection (ML4VD) have been very promising. Given only the source code of a function , ML4VD techniques can decide…