Niklas Risse

Orcid: 0000-0002-0666-5025

According to our database1, Niklas Risse authored at least 10 papers between 2020 and 2026.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

On csauthors.net:

Bibliography

2026
How and Why Agents Can Identify Bug-Introducing Commits.
CoRR, March, 2026

Chasing Shadows: Pitfalls in LLM Security Research.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026

2025
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection.
Proc. ACM Softw. Eng., 2025

2024
Top Score on the Wrong Exam: On Benchmarking in Machine Learning for Vulnerability Detection.
CoRR, 2024

Uncovering the Limits of Machine Learning for Automatic Vulnerability Detection.
Proceedings of the 33rd USENIX Security Symposium, 2024

2023
Limits of Machine Learning for Automatic Vulnerability Detection.
CoRR, 2023

Detecting Overfitting of Machine Learning Techniques for Automatic Vulnerability Detection.
Proceedings of the 31st ACM Joint European Software Engineering Conference and Symposium on the Foundations of Software Engineering, 2023

Broken Promises: Measuring Confounding Effects in Learning-based Vulnerability Discovery.
Proceedings of the 16th ACM Workshop on Artificial Intelligence and Security, 2023

2021
How to Compare Adversarial Robustness of Classifiers from a Global Perspective.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

2020
Adversarial examples and where to find them.
CoRR, 2020


  Loading...