Pascal Debus

Cited by

	All	Since 2019
Citations	40	38
h-index	3	3
i10-index	2	2

2016201720182019202020212022202320242 4 7 7 14 5

Co-authors

Konstantin BöttingerFraunhofer AISECVerified email at aisec.fraunhofer.de
Nicolas M. MüllerFraunhofer AISECVerified email at aisec.fraunhofer.de
Daniel KowatschCognitive Security Technologies, Fraunhofer AISECVerified email at aisec.fraunhofer.de
Donika MirditaTechnical University Darmstadt, ATHENEVerified email at sit.tu-darmstadt.de
Kilian TscharkeFraunhofer Institute for Applied and Integrated SecurityVerified email at aisec.fraunhofer.de
Philip SperlFraunhofer AISECVerified email at aisec.fraunhofer.de
Jennifer WilliamsAssistant Professor at University of Southampton (UK)Verified email at soton.ac.uk
Michael KölleLMU MunichVerified email at ifi.lmu.de
Daniëlle SchumanLMU MunichVerified email at ifi.lmu.de
Prof. Dr. Claudia Linnhoff-PopienLudwig-Maximilians-University, Mobile and Distributed Systems Group, LMUVerified email at ifi.lmu.de
Karla PizziVerified email at aisec.fraunhofer.de

Pascal Debus

Fraunhofer AISEC

Verified email at aisec.fraunhofer.de

quantum computing machine learning optimization IT Security


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On GDPR compliance of companies’ privacy policies NM Müller, D Kowatsch, P Debus, D Mirdita, K Böttinger Text, Speech, and Dialogue: 22nd International Conference, TSD 2019 …, 2019	17	2019
Distributed Anomaly Detection of Single Mote Attacks in RPL Networks. NM Müller, P Debus, D Kowatsch, K Böttinger ICETE (2), 378-385, 2019	15	2019
Fairness in Regression--Analysing a Job Candidates Ranking System K Markert, A Ahouzi, P Debus Gesellschaft für Informatik, Bonn, 2022	3	2022
A fast C++ Template Library for Total Variation Minimization of manifold-valued two and three-dimensional Images P Debus	2	2015
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel K Tscharke, S Issel, P Debus 2023 IEEE International Conference on Quantum Computing and Engineering (QCE …, 2023	1	2023
Deep Reinforcement Learning for Backup Strategies against Adversaries P Debus, N Müller, K Böttinger arXiv preprint arXiv:2102.06632, 2021	1	2021
Application of stochastic volatility models in option pricing P Debus GRIN Verlag, 2013	1	2013
Towards Classical Software Verification using Quantum Computers S Issel, K Tscharke, P Debus arXiv preprint arXiv:2404.18502, 2024		2024
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models M Wendlinger, K Tscharke, P Debus arXiv preprint arXiv:2404.16154, 2024		2024
Randomized Signatures and Applications in Machine Learning P Debus		2024
Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements M Kölle, A Ahouzi, P Debus, R Müller, D Schuman, C Linnhoff-Popien arXiv preprint arXiv:2312.09174, 2023		2023
Protecting Publicly Available Data With Machine Learning Shortcuts NM Müller, M Burgert, P Debus, J Williams, P Sperl, K Böttinger arXiv preprint arXiv:2310.19381, 2023		2023

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