Philip-William Grassal

According to our database, Philip-William Grassal authored at least 7 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of three.
• Erdős number of four.

2023

HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs.

Artem Sevastopolsky, Philip-William Grassal, Simon Giebenhain, ShahRukh Athar, Luisa Verdoliva, Matthias Nießner

CoRR, 2023

2022

Neural Head Avatars from Monocular RGB Videos.

Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

2021

Quantifying identifiability to choose and audit epsilon in differentially private deep learning.

Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum

Proc. VLDB Endow., 2021

Quantifying identifiability to choose and audit ε in differentially private deep learning.

Daniel Bernau, Günther Eibl, Philip-William Grassal, Hannah Keller, Florian Kerschbaum

CoRR, 2021

Comparing Local and Central Differential Privacy Using Membership Inference Attacks.

Daniel Bernau, Jonas Robl, Philip-William Grassal, Steffen Schneider, Florian Kerschbaum

Proceedings of the Data and Applications Security and Privacy XXXV, 2021

2019

Assessing differentially private deep learning with Membership Inference.

Daniel Bernau, Philip-William Grassal, Jonas Robl, Florian Kerschbaum

CoRR, 2019

2018

The influence of differential privacy on short term electric load forecasting.

Günther Eibl, Kaibin Bao, Philip-William Grassal, Daniel Bernau, Hartmut Schmeck

Energy Inform., 2018