Jan-Philipp Schulze

According to our database, Jan-Philipp Schulze authored at least 11 papers between 2019 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of five.

2025

DTLEF: Universal Digital Twins for the Industrial Metaverse.

Florian Heimann, Jan-Philipp Schulze, Oliver Wetter, Philip Wette

Proceedings of the 30th IEEE International Conference on Emerging Technologies and Factory Automation, 2025

2023

Physical Adversarial Examples for Multi-Camera Systems.

Ana Radutoiu, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger

CoRR, 2023

An Integrated Algorithm for Robust and Imperceptible Audio Adversarial Examples.

Armin Ettenhofer, Jan-Philipp Schulze, Karla Pizzi

CoRR, 2023

2022

R2-AD2: Detecting Anomalies by Analysing the Raw Gradient.

Jan-Philipp Schulze, Philip Sperl, Ana Radutoiu, Carla Sagebiel, Konstantin Böttinger

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2022

Double-Adversarial Activation Anomaly Detection: Adversarial Autoencoders are Anomaly Generators.

Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger

Proceedings of the International Joint Conference on Neural Networks, 2022

Anomaly Detection by Recombining Gated Unsupervised Experts.

Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger

Proceedings of the International Joint Conference on Neural Networks, 2022

Assessing the Impact of Transformations on Physical Adversarial Attacks.

Paul Andrei Sava, Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger

Proceedings of the 15th ACM Workshop on Artificial Intelligence and Security, 2022

2021

DA3G: Detecting Adversarial Attacks by Analysing Gradients.

Jan-Philipp Schulze, Philip Sperl, Konstantin Böttinger

Proceedings of the Computer Security - ESORICS 2021, 2021

2020

A³: Activation Anomaly Analysis.

Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger

CoRR, 2020

Activation Anomaly Analysis.

Philip Sperl, Jan-Philipp Schulze, Konstantin Böttinger

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019

Context by Proxy: Identifying Contextual Anomalies Using an Output Proxy.

Jan-Philipp Schulze, Artur Mrowca, Elizabeth Ren, Hans-Andrea Loeliger, Konstantin Böttinger

Proceedings of the 25th ACM SIGKDD International Conference on Knowledge Discovery & Data Mining, 2019