3 papers
cs.CR2026
The Ethics of Autonomous AI Agents for Offensive Security
Andreas Happe, Jürgen Cito, Jürgen Cito +1
LLM-driven autonomous agents are reshaping offensive security. Unlike traditional penetration-testing tooling - deterministic, narrowly scoped, and operated by trained practitioner…
cs.CR2026
Can AI Lower the Barrier to Cybersecurity? A Human-Centered Mixed-Methods Study of Novice CTF Learning
Cathrin Schachner, Jasmin Wachter
Capture-the-Flag (CTF) competitions serve as gateways into offensive cybersecurity, yet they often present steep barriers for novices due to complex toolchains and opaque workflows…
cs.AI2025
Are LLMs (Really) Ideological? An IRT-based Analysis and Alignment Tool for Perceived Socio-Economic Bias in LLMs
Jasmin Wachter, Michael Radloff, Maja Smolej +1
We introduce an Item Response Theory (IRT)-based framework to detect and quantify socioeconomic bias in large language models (LLMs) without relying on subjective human judgments.…