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.
AAAI Conference on Artificial Intelligence (AAAI)
Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment
Medical Image Computing and Computer Assisted Intervention (MICCAI)
Automated Detection of Abnormalities in Zebrafish Development
ACM Computer Science in Cars Symposium (CSCS)
CSCS '24 -- Cyber Security in CarS Workshop
Conference on Neural Information Processing Systems (NeurIPS)
Language Models as Zero-shot Lossless Gradient Compressors: Towards General Neural Parameter Prior Models
NeurIPS-Workshop (NeurIPS-W)
LLM2Swarm: Robot Swarms that Responsively Reason, Plan, and Collaborate through LLMs
NeurIPS-Workshop (NeurIPS-W)
Hypothesizing Missing Causal Variables with LLMs
Conference on Empirical Methods in Natural Language Processing (EMNLP)
LLM Task Interference: An Initial Study on the Impact of Task-Switch in Conversational History
European Conference on Artificial Intelligence (ECAI)
Inside the Black Box: Detecting Data Leakage in Pre-trained Language Encoders
Conference on Neural Information Processing Systems (NeurIPS)
Cooperation, Competition, and Maliciousness: LLM-Stakeholders Interactive Negotiation
Conference on Neural Information Processing Systems (NeurIPS)
Dataset and Lessons Learned from the 2024 SaTML LLM Capture-the-Flag Competition