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 Neural Information Processing Systems (NeurIPS) MIBP-Cert: Certified Training against Data Perturbations with Mixed-Integer Bilinear Programs
Conference on Empirical Methods in Natural Language Processing (EMNLP) Context-Aware Reasoning On Parametric Knowledge for Inferring Causal Variables
Conference on Empirical Methods in Natural Language Processing (EMNLP)
Conference on Empirical Methods in Natural Language Processing (EMNLP)
Conference on Empirical Methods in Natural Language Processing (EMNLP) Accept or Deny? Evaluating LLM Fairness and Performance in Loan Approval across Table-to-Text Serialization Approaches
Transactions on Machine Learning Research (TMLR) Taxonomy, Opportunities, and Challenges of Representation Engineering for Large Language Models
GI International Conference on Detection of Intrusions and Malware and Vulnerability Assessment (DIMVA) Exploring the Potential of LLMs for Code Deobfuscation
Annual Meeting of the Association for Computational Linguistics (ACL) A Theory of LLM Sampling: Part Descriptive and Part Prescriptive
Annual Meeting of the Association for Computational Linguistics (ACL) Balancing Diversity and Risk in LLM Sampling: How to Select Your Method and Parameter for Open-Ended Text Generation
International Conference on Machine Learning (ICML) Pixel-level Certified Explanations via Randomized Smoothing