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Journal Articles
- 2024
[j1]Pascal Debus
, Sebastian Issel, Kilian Tscharke:
Quantum Machine Learning Playground. IEEE Computer Graphics and Applications 44(5): 40-53 (2024)
Conference and Workshop Papers
- 2024
- [c8]Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien:
Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements. ICAART (2) 2024: 324-335 - [c7]Kilian Tscharke, Sebastian Issel, Pascal Debus:
QUACK: Quantum Aligned Centroid Kernel. QCE 2024: 1425-1435 - [c6]Maximilian Wendlinger, Kilian Tscharke, Pascal Debus:
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models. QCE 2024: 1447-1457 - 2023
- [c5]Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger:
Protecting Publicly Available Data With Machine Learning Shortcuts. BMVC 2023: 685-698 - [c4]Kilian Tscharke, Sebastian Issel, Pascal Debus:
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel. QCE 2023: 611-620 - 2022
- [c3]Karla Markert, Afrae Ahouzi, Pascal Debus:
Fairness in Regression - Analysing a Job Candidates Ranking System. GI-Jahrestagung 2022: 1275-1285 - 2019
- [c2]Nicolas M. Müller, Pascal Debus, Daniel Kowatsch, Konstantin Böttinger:
Distributed Anomaly Detection of Single Mote Attacks in RPL Networks. ICETE (2) 2019: 378-385 - [c1]Nicolas M. Müller, Daniel Kowatsch, Pascal Debus, Donika Mirdita, Konstantin Böttinger:
On GDPR Compliance of Companies' Privacy Policies. TSD 2019: 151-159
Informal and Other Publications
- 2024
- [i8]Maximilian Wendlinger, Kilian Tscharke, Pascal Debus:
A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models. CoRR abs/2404.16154 (2024) - [i7]Sebastian Issel, Kilian Tscharke, Pascal Debus:
Towards Classical Software Verification using Quantum Computers. CoRR abs/2404.18502 (2024) - [i6]Kilian Tscharke, Sebastian Issel, Pascal Debus:
QUACK: Quantum Aligned Centroid Kernel. CoRR abs/2405.00304 (2024) - [i5]Michael Kölle, Afrae Ahouzi, Pascal Debus, Elif Çetiner, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien:
Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling. CoRR abs/2407.20753 (2024) - 2023
- [i4]Kilian Tscharke, Sebastian Issel, Pascal Debus:
Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel. CoRR abs/2308.00583 (2023) - [i3]Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger:
Protecting Publicly Available Data With Machine Learning Shortcuts. CoRR abs/2310.19381 (2023) - [i2]Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien:
Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements. CoRR abs/2312.09174 (2023) - 2021
- [i1]Pascal Debus, Nicolas M. Müller, Konstantin Böttinger:
Deep Reinforcement Learning for Backup Strategies against Adversaries. CoRR abs/2102.06632 (2021)
Coauthor Index
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