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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 2024

Conference / Medium

Conference on Neural Information Processing Systems (NeurIPS)
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition

Conference / Medium

Conference on Neural Information Processing Systems (NeurIPS)
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation

Conference / Medium

Workshop on Privacy in the Electronic Society (WPES)
Private and Collaborative Kaplan-Meier Estimators

Conference / Medium

International Conference on Document Analysis and Recognition (ICDAR)
Privacy-Aware Document Visual Question Answering

Conference / Medium

German Conference on Pattern Recognition (GCPR)
FullCert: Deterministic End-to-End Certification for Training and Inference of Neural Networks

Conference / Medium

IEEE European Symposium on Security and Privacy (EuroS&P)
Tell Me What You Like and I Know What You Will Share: Topical Interest Influences Behavior Toward News From High and Low Credible Sources

Conference / Medium

Usenix Security Symposium (USENIX-Security)
SecurityNet: Assessing Machine Learning Vulnerabilities on Public Models

Conference / Medium

Privacy Enhancing Technologies Symposium (PETS)

Conference / Medium

Privacy Enhancing Technologies Symposium (PETS)
FedLAP-DP: Federated Learning by Sharing Differentially Private Loss Approximations

Conference / Medium

International Conference on Machine Learning (ICML)
Stealthy Imitation: Reward-guided Environment-free Policy Stealing