Faculty
Prof. Dr. 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. His research focuses on trustworthy artificial intelligence, especially at the intersection of information security and machine learning. He is Associate Editor of the journal "IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)," coordinates the Helmholtz project "Trustworthy Federated Data Analytics," and has published over 100 scientific articles - 80 of them in top conferences and journals.
USENIX
32nd USENIX Security Symposium32nd USENIX Security Symposium
USENIX-Security
USENIX SecurityUSENIX Security
NeurIPS
Proceedings of Machine Learning ResearchThirty-sixth Conference on Neural Information Processing Systems
USENIX-Security
USENIX Security Symposium (USENIX Security)USENIX Security Symposium (USENIX Security), 2022.
ICML
Proceedings of the 39th International Conference on Machine LearningInternational Conference on Machine Learning (ICML)
CVPR
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Conference on Computer Vision and Pattern Recognition
CVPR
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)Conference on Computer Vision and Pattern Recognition
ICLR
International Conference on Learning RepresentationsThe Tenth International Conference on Learning Representations
ICLR
International Conference on Learning RepresentationsThe Tenth International Conference on Learning Representations
UNSPECIFIED
Proceedings of the Conference on Health, Inference, and LearningConference on Health, Inference, and Learning