3 papers
cs.CR2026
NetVAD: Foundation-Model Representation Learning for Identifier-Free Unsupervised Intrusion Detection
Darren Fürst, Patrick Levi, Sebastian Steindl
Detecting zero-day exploits in production networks requires robust Intrusion Detection Systems (IDS). However, current unsupervised models struggle to match the performance of supe…
cs.CR2026
Towards Unsupervised Adversarial Document Detection in Retrieval Augmented Generation Systems
Patrick Levi
Retrieval augmented generation systems have become an integral part of everyday life. Whether in internet search engines, email systems, or service chatbots, these systems are base…
cs.CR2024
Vocabulary Attack to Hijack Large Language Model Applications
Patrick Levi, Christoph P. Neumann
The fast advancements in Large Language Models (LLMs) are driving an increasing number of applications. Together with the growing number of users, we also see an increasing number…