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)

Assessing differentially private deep learning with Membership Inference. - Daniel Bernau; Philip-William Grassal; Jonas Robl; Florian Kerschbaum (CoRR, 2019)

Comparing Local and Central Differential Privacy Using Membership Inference Attacks. - Daniel Bernau; Jonas Robl; Philip-William Grassal; Steffen Schneider 003; Florian Kerschbaum (DBSec, 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)

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)

Neural Head Avatars from Monocular RGB Videos. - Philip-William Grassal; Malte Prinzler; Titus Leistner; Carsten Rother; Matthias Nießner; Justus Thies (CVPR, 2022)

HeadCraft: Modeling High-Detail Shape Variations for Animated 3DMMs. - Artem Sevastopolsky; Philip-William Grassal; Simon Giebenhain; ShahRukh Athar; Luisa Verdoliva; Matthias Nießner (3DV, 2025)