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.
CVPR
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
ICLR
6th International Conference on Learning RepresentationsInternational Conference on Learning Representations (ICLR)
Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
CVPR
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
CVPR
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
Mutual Benefits of Cognitive and Computer Vision Workshop at International Conference on Computer Vision (ICCV-W)
CVPR
IEEE Conference on Computer Vision and Pattern Recognition (CVPR)