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Short Bio

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.

CV: Last stations

Since 2019
Professor, Saarland University
Since 2018
Faculty at CISPA Helmholtz Center for Information Security
2011 - 2018
Senior Researcher, Max Planck Institute for Informatics
2008 - 2010
PostDoc International Computer Science Institute & UC Berkeley

Publications by Mario Fritz

Year 2026

Conference / Medium

Conference of the European Chapter of the Association for Computational Linguistic (EACL)
Funny or Persuasive, but Not Both: Evaluating Fine-Grained Multi-Concept Control in LLMs

Article

IEEE AccessAn Exploratory Survey Study Toward a Conceptual Framework for Structuring the Integration of Privacy-Enhancing Technologies in Federated Learning and Analytics

Conference / Medium

Winter Conference on Applications of Computer Vision (WACV)
Deepfake Detection that Generalizes Across Benchmarks

Article

CoRRCertified Circuits: Stability Guarantees for Mechanistic Circuits.

Article

ScienceThe science and practice of proportionality in AI risk evaluations

Year 2025

Conference / Medium

NeurIPS-Workshop (NeurIPS-W)
Justice in Judgment: Unveiling (Hidden) Bias in LLM-Assisted Peer Reviews

Conference / Medium

NeurIPS-Workshop (NeurIPS-W)
Beyond Steering: Evaluating Fine-Grained and Multi-Concept Control in LLMs Proceedings Article

Conference / Medium

NeurIPS-Workshop (NeurIPS-W)
Can LLMs Propose Instrumental Variables for Causal Reasoning?

Conference / Medium

Conference on Neural Information Processing Systems (NeurIPS)
MaxSup: Overcoming Representation Collapse in Label Smoothing

Conference / Medium

Conference on Neural Information Processing Systems (NeurIPS)
MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs