Neural head avatars from monocular rgb videos PW Grassal, M Prinzler, T Leistner, C Rother, M Nießner, J Thies
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022
147 2022 Assessing differentially private deep learning with membership inference D Bernau, PW Grassal, J Robl, F Kerschbaum
arXiv preprint arXiv:1912.11328, 2019
28 2019 Comparing local and central differential privacy using membership inference attacks D Bernau, J Robl, PW Grassal, S Schneider, F Kerschbaum
IFIP Annual Conference on Data and Applications Security and Privacy, 22-42, 2021
24 2021 The influence of differential privacy on short term electric load forecasting G Eibl, K Bao, PW Grassal, D Bernau, H Schmeck
Energy Informatics 1 (Suppl 1), 48, 2018
20 2018 Interpretability Framework for Differentially Private Deep Learning D Bernau, PW Grassal, H Keller, M Haerterich
US Patent App. 17/086,244, 2022
7 2022 Quantifying identifiability to choose and audit D Bernau, G Eibl, PW Grassal, H Keller, F Kerschbaum
arXiv preprint arXiv:2103.02913, 2021
6 2021 Quantifying Identifiability to Choose and Audit ǫ in Differentially Private Deep Learning D Bernau, G Eibl, PW Grassal, H Keller, F Kerschbaum
Proceedings of the Conference on Very Large Databases, 2021
4 2021 Privacy preserving smart metering D Bernau, PW Grassal, F Kerschbaum
US Patent 10,746,567, 2020
4 2020 Differential privacy to prevent machine learning model membership inference D Bernau, J Robl, PW Grassal, F Kerschbaum
US Patent 11,449,639, 2022
3 2022 HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs A Sevastopolsky, PW Grassal, S Giebenhain, SR Athar, L Verdoliva, ...
arXiv preprint arXiv:2312.14140, 2023
2023 Neural Head Avatars from Monocular RGB Videos–Supplemental Document– PW Grassal, M Prinzler, T Leistner, C Rother, M Nießner, J Thies
Learning to Synthesize Images C Rother, PW Grassal, T Leistner
