Jan-Philipp Schulze

15 papers A* 1B 2C 2Journal 6Unranked 4
YearRankTypeTitle / Venue / Authors
2025 C conf
DTLEF: Universal Digital Twins for the Industrial Metaverse.
ETFA
Florian Heimann, Jan-Philipp Schulze, Oliver Wetter, Philip Wette
2025 C conf
Evaluation of Tracking Algorithms for Automated Strain Analysis on Fascial Tissue.
ISPA
Mirko Halbe, Oliver Wetter, Torben Wallenstein, Jan-Philipp Schulze, Jörg Höer
2023 J jnl
An Integrated Algorithm for Robust and Imperceptible Audio Adversarial Examples.
CoRR
Armin Ettenhofer, Jan-Philipp Schulze, Karla Pizzi
2023 J jnl
Physical Adversarial Examples for Multi-Camera Systems.
CoRR
Ana Radutoiu, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2022 B conf
Anomaly Detection by Recombining Gated Unsupervised Experts.
IJCNN
Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2022 — conf
Assessing the Impact of Transformations on Physical Adversarial Attacks.
AISec@CCS
Paul Andrei Sava, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2022 B conf
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators.
IJCNN
Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2022 — conf
R2-AD2: Detecting Anomalies by Analysing the Raw Gradient.
ECML/PKDD (1)
Jan-Philipp Schulze, Philip Sperl, Ana Radutoiu, Carla Sagebiel, Konstantin Böttinger
2022 J jnl
R2-AD2: Detecting Anomalies by Analysing the Raw Gradient.
CoRR
Jan-Philipp Schulze, Philip Sperl, Ana Radutoiu, Carla Sagebiel, Konstantin Böttinger
2021 — conf
DA3G: Detecting Adversarial Attacks by Analysing Gradients.
ESORICS (1)
Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2021 J jnl
Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators.
CoRR
Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2020 J jnl
A
CoRR
Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger
2020 — conf
Activation Anomaly Analysis.
ECML/PKDD (2)
Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger
2020 J jnl
Anomaly Detection by Recombining Gated Unsupervised Experts.
CoRR
Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger
2019 A* conf
Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy.
KDD
Jan-Philipp Schulze, Artur Mrowca, Elizabeth Ren, Hans-Andrea Loeliger, Konstantin Böttinger