126 citations · 179 across the 16 of their papers we have counts for
3 papers · 1 filter
ATLAS: Discovering Agent Strategies through LLM-Guided Abstraction and Automata Learning
Ignacio D. Lopez-Miguel, Andreas Happe, Jürgen Cito +3
Large Language Model (LLM)-based agents are increasingly used for complex tasks such as software testing and cybersecurity assessment. While these agents demonstrate impressive cap…
Adversarial Bug Reports as a Security Risk in Language Model-Based Automated Program Repair
Piotr Przymus, Andreas Happe, Jürgen Cito
Large Language Model (LLM) - based Automated Program Repair (APR) systems are increasingly integrated into modern software development workflows, offering automated patches in resp…
Understanding Hackers' Work: An Empirical Study of Offensive Security Practitioners
Andreas Happe, Jürgen Cito
Offensive security-tests are a common way to pro-actively discover potential vulnerabilities. They are performed by specialists, often called penetration-testers or white-hat hacke…