Faculty
Mario Fritz is a faculty at the CISPA Helmholtz Center for Information Security, an honorary professor at Saarland University, and a fellow of the European Laboratory for Learning and Intelligent Systems (ELLIS).
Until 2018, he led a research group at the Max Planck Institute for Computer Science.
Previously, he was a PostDoc at the International Computer Science Institute (ICSI) and UC Berkeley after receiving his PhD from TU Darmstadt and studying computer science at FAU Erlangen-Nuremberg.
He is currently coordinating and leading the EU funded network of excellence "ELSA - European Lighthouse on Secure and Safe AI", among other projects.
His research focuses on trustworthy artificial intelligence, especially at the intersection of information security and machine learning.
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
Science Robotics How foundation models will revolutionize robot swarms