Frederik Harder

12 papers A* 2A 1Journal 8Unranked 1

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