Follow
Frederik Harder
Frederik Harder
Max Planck Institute for Intelligent Systems & University of Tübingen & International Max Planck Research School for Intelligent Systems (IMPRS-IS)
Verified email at tuebingen.mpg.de
Title
Cited by
Cited by
Year
Interpretable and differentially private predictions
F Harder, M Bauer, M Park
Proceedings of the AAAI Conference on Artificial Intelligence 34 (04), 4083-4090, 2020
212020
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation
F Harder, K Adamczewski, M Park
International Conference on Artificial Intelligence and Statistics, 1819-1827, 2021
15*2021
An approach to supervised learning of three valued Lukasiewicz logic in Hölldobler's core method
F Harder, TR Besold
CEUR Workshop Proceedings 1895, 24-37, 2017
12017
Q-FIT: The Quantifiable Feature Importance Technique for Explainable Machine Learning
K Adamczewski, F Harder, M Park
arXiv preprint arXiv:2010.13872, 2020
2020
DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning
F Harder, J Köhler, M Welling, M Park
arXiv preprint arXiv:1910.06924, 2019
2019
Learning Łukasiewicz logic
F Harder, TR Besold
Cognitive Systems Research 47, 42-67, 2018
2018
The system can't perform the operation now. Try again later.
Articles 1–6