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Philip-William Grassal
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2020 – today
- 2023
- [i5]Artem Sevastopolsky, Philip-William Grassal, Simon Giebenhain, ShahRukh Athar, Luisa Verdoliva, Matthias Nießner:
HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs. CoRR abs/2312.14140 (2023) - 2022
- [c2]Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. CVPR 2022: 18632-18643 - 2021
- [j2]Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum:
Quantifying identifiability to choose and audit epsilon in differentially private deep learning. Proc. VLDB Endow. 14(13): 3335-3347 (2021) - [c1]Daniel Bernau, Jonas Robl, Philip-William Grassal, Steffen Schneider, Florian Kerschbaum:
Comparing Local and Central Differential Privacy Using Membership Inference Attacks. DBSec 2021: 22-42 - [i4]Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum:
Quantifying identifiability to choose and audit ε in differentially private deep learning. CoRR abs/2103.02913 (2021) - [i3]Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies:
Neural Head Avatars from Monocular RGB Videos. CoRR abs/2112.01554 (2021)
2010 – 2019
- 2019
- [i2]Daniel Bernau, Philip-William Grassal, Jonas Robl, Florian Kerschbaum:
Assessing differentially private deep learning with Membership Inference. CoRR abs/1912.11328 (2019) - 2018
- [j1]Günther Eibl, Kaibin Bao, Philip-William Grassal, Daniel Bernau, Hartmut Schmeck:
The influence of differential privacy on short term electric load forecasting. Energy Inform. 1(S1) (2018) - [i1]Günther Eibl, Kaibin Bao, Philip-William Grassal, Daniel Bernau, Hartmut Schmeck:
The Influence of Differential Privacy on Short Term Electric Load Forecasting. CoRR abs/1807.02361 (2018)
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