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ORCIDFrederik Harder
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2020 – today
- 2023
[j2]Frederik Harder, Milad Jalali, Danica J. Sutherland, Mijung Park:
Pre-trained Perceptual Features Improve Differentially Private Image Generation. Trans. Mach. Learn. Res. 2023 (2023)- 2022
- [c4]Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder, Kamil Adamczewski, Mijung Park:
Hermite Polynomial Features for Private Data Generation. ICML 2022: 22300-22324 - [i6]Frederik Harder, Milad Jalali Asadabadi, Danica J. Sutherland, Mijung Park:
Differentially Private Data Generation Needs Better Features. CoRR abs/2205.12900 (2022) - 2021
- [c3]Frederik Harder, Kamil Adamczewski, Mijung Park:
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation. AISTATS 2021: 1819-1827 - [i5]Mijung Park, Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder:
Polynomial magic! Hermite polynomials for private data generation. CoRR abs/2106.05042 (2021) - 2020
- [c2]Frederik Harder, Matthias Bauer, Mijung Park:
Interpretable and Differentially Private Predictions. AAAI 2020: 4083-4090 - [i4]Frederik Harder, Kamil Adamczewski, Mijung Park:
Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation. CoRR abs/2002.11603 (2020) - [i3]Kamil Adamczewski, Frederik Harder, Mijung Park:
Q-FIT: The Quantifiable Feature Importance Technique for Explainable Machine Learning. CoRR abs/2010.13872 (2020)
2010 – 2019
- 2019
- [i2]Frederik Harder, Matthias Bauer, Mijung Park:
Interpretable and Differentially Private Predictions. CoRR abs/1906.02004 (2019) - [i1]Frederik Harder, Jonas Köhler, Max Welling, Mijung Park:
DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning. CoRR abs/1910.06924 (2019) - 2018
- [j1]Frederik Harder
, Tarek R. Besold:
Learning Łukasiewicz logic. Cogn. Syst. Res. 47: 42-67 (2018) - 2016
- [c1]Frederik Harder, Tarek Richard Besold:
An Approach to Supervised Learning of Three-Valued Łukasiewicz Logic in Hölldobler's Core Method. AIC 2016: 24-37
Coauthor Index
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