Faculty
Mario Fritz ist Faculty am CISPA Helmholtz-Zentrum für Informationssicherheit, Honorarprofessor an der Universität des Saarlandes und Fellow des European Laboratory for Learning and Intelligent Systems (ELLIS).
Bis 2018 leitete er eine Forschungsgruppe am Max-Planck-Institut für Informatik.
Zuvor war er PostDoc am International Computer Science Institute (ICSI) und an der UC Berkeley, nachdem er an der TU Darmstadt promoviert und an der FAU Erlangen-Nürnberg Informatik studiert hatte.
Derzeit koordiniert und leitet er unter anderem das von der EU geförderte Exzellenznetzwerk „ELSA – European Lighthouse on Secure and Safe AI“.
Sein Forschungsschwerpunkt liegt auf vertrauenswürdiger künstlicher Intelligenz, insbesondere an der Schnittstelle von Informationssicherheit und maschinellem Lernen.
Conference on Game Theory and AI for Security(GameSec) The Oracle's Gambit: A Game-Theoretic Framework for Responsible AI Release
International Workshop on Designing and Measuring Security in Systems with AI (DeMeSSAI 2026) MATRA: Modeling the Attack Surface of Agentic AI Systems -- OpenClaw Case Study
International Conference on Machine Learning (ICML) Certified Circuits: Stability Guarantees for Mechanistic Circuits
International Conference on Machine Learning (ICML) Position: Trustworthy AI Suffers from Invariance Conflicts and Causality is The Solution
International Conference on Machine Learning (ICML) Position: Safety Must Precede the Deployment of Open-Ended AI Agents
Annual Meeting of the Association for Computational Linguistics (ACL) Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
Annual Meeting of the Association for Computational Linguistics (ACL) Justice in Judgment: Unveiling (Hidden) Bias in LLM-assisted Peer Reviews
Annual Meeting of the Association for Computational Linguistics (ACL) ProxyPrompt: Securing System Prompts against Prompt Extraction Attacks
International Conference on Cyber Conflict: Securing tomorrow (CyCon) Enhancing Cyber Attack Autonomy Through Multi-Agent Reinforcement Learning (MARL)
IEEE Symposium on Security and Privacy Workshops (SPW) Inspectable AI for Science: A Research Object Approach to Generative AI Governance