Frederik Harder

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 12

Top Topics

Differentially Private

Implicit Polynomial

Data Generation

Top Venues

Cogn. Syst. Res.

Publications

Frederik Harder, Milad Jalali, Danica J. Sutherland, Mijung Park
Pre-trained Perceptual Features Improve Differentially Private Image Generation. Trans. Mach. Learn. Res. 2023 (2023)
Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder, Kamil Adamczewski, Mijung Park
Hermite Polynomial Features for Private Data Generation. ICML (2022)
Frederik Harder, Milad Jalali Asadabadi, Danica J. Sutherland, Mijung Park
Differentially Private Data Generation Needs Better Features. CoRR (2022)
Frederik Harder, Kamil Adamczewski, Mijung Park
DP-MERF: Differentially Private Mean Embeddings with RandomFeatures for Practical Privacy-preserving Data Generation. AISTATS (2021)
Mijung Park, Margarita Vinaroz, Mohammad-Amin Charusaie, Frederik Harder
Polynomial magic! Hermite polynomials for private data generation. CoRR (2021)
Frederik Harder, Kamil Adamczewski, Mijung Park
Differentially Private Mean Embeddings with Random Features (DP-MERF) for Simple & Practical Synthetic Data Generation. CoRR (2020)
Kamil Adamczewski, Frederik Harder, Mijung Park
Q-FIT: The Quantifiable Feature Importance Technique for Explainable Machine Learning. CoRR (2020)
Frederik Harder, Matthias Bauer, Mijung Park
Interpretable and Differentially Private Predictions. AAAI (2020)
Frederik Harder, Matthias Bauer, Mijung Park
Interpretable and Differentially Private Predictions. CoRR (2019)
Frederik Harder, Jonas Köhler, Max Welling, Mijung Park
DP-MAC: The Differentially Private Method of Auxiliary Coordinates for Deep Learning. CoRR (2019)
Frederik Harder, Tarek R. Besold
Learning Łukasiewicz logic. Cogn. Syst. Res. 47 (2018)
Frederik Harder, Tarek Richard Besold
An Approach to Supervised Learning of Three-Valued Łukasiewicz Logic in Hölldobler's Core Method. AIC (2016)