Pascal Debus - RankMe

23 papers A 1Misc 3Journal 14Unranked 5

Year	Rank	Type	Title / Venue / Authors
2026	—	`conf`	Anomaly Detection with Quantum SVR in the NISQ Era: Limits of Robustness to Noise and Adversarial Attacks. ICAART (2) Kilian Tscharke, Maximilian Wendlinger, Sebastian Issel, Pascal Debus
2025	J	`jnl`	Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security. CoRR Pascal Debus, Maximilian Wendlinger, Kilian Tscharke, Daniel Herr, Cedric Brügmann, Daniel Ohl de Mello, Juris Ulmanis, Alexander Erhard, Arthur Schmidt, Fabian Petsch
2025	J	`jnl`	Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning. CoRR Maximilian Wendlinger, Kilian Tscharke, Pascal Debus
2025	J	`jnl`	Quantum Autoencoder for Multivariate Time Series Anomaly Detection. CoRR Kilian Tscharke, Maximilian Wendlinger, Afrae Ahouzi, Pallavi Bhardwaj, Kaweh Amoi-Taleghani, Michael Schrödl-Baumann, Pascal Debus
2025	J	`jnl`	Quantum Machine Learning Playground. CoRR Pascal Debus, Sebastian Issel, Kilian Tscharke
2025	J	`jnl`	Quantum Support Vector Regression for Robust Anomaly Detection. CoRR Kilian Tscharke, Maximilian Wendlinger, Sebastian Issel, Pascal Debus
2024	Misc	`conf`	A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models. QCE Maximilian Wendlinger, Kilian Tscharke, Pascal Debus
2024	J	`jnl`	A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models. CoRR Maximilian Wendlinger, Kilian Tscharke, Pascal Debus
2024	J	`jnl`	Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling. CoRR Michael Kölle, Afrae Ahouzi, Pascal Debus, Elif Çetiner, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien
2024	Misc	`conf`	QUACK: Quantum Aligned Centroid Kernel. QCE Kilian Tscharke, Sebastian Issel, Pascal Debus
2024	J	`jnl`	QUACK: Quantum Aligned Centroid Kernel. CoRR Kilian Tscharke, Sebastian Issel, Pascal Debus
2024	J	`jnl`	Quantum Machine Learning Playground. IEEE Computer Graphics and Applications Pascal Debus, Sebastian Issel, Kilian Tscharke
2024	J	`jnl`	Towards Classical Software Verification using Quantum Computers. CoRR Sebastian Issel, Kilian Tscharke, Pascal Debus
2024	—	`conf`	Towards Efficient Quantum Anomaly Detection: One-Class SVMs Using Variable Subsampling and Randomized Measurements. ICAART (2) Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien
2023	A	`conf`	Protecting Publicly Available Data With Machine Learning Shortcuts. BMVC Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger
2023	J	`jnl`	Protecting Publicly Available Data With Machine Learning Shortcuts. CoRR Nicolas M. Müller, Maximilian Burgert, Pascal Debus, Jennifer Williams, Philip Sperl, Konstantin Böttinger
2023	Misc	`conf`	Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel. QCE Kilian Tscharke, Sebastian Issel, Pascal Debus
2023	J	`jnl`	Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel. CoRR Kilian Tscharke, Sebastian Issel, Pascal Debus
2023	J	`jnl`	Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements. CoRR Michael Kölle, Afrae Ahouzi, Pascal Debus, Robert Müller, Daniëlle Schuman, Claudia Linnhoff-Popien
2022	—	`conf`	Fairness in Regression - Analysing a Job Candidates Ranking System. GI-Jahrestagung Karla Markert, Afrae Ahouzi, Pascal Debus
2021	J	`jnl`	Deep Reinforcement Learning for Backup Strategies against Adversaries. CoRR Pascal Debus, Nicolas M. Müller, Konstantin Böttinger
2019	—	`conf`	Distributed Anomaly Detection of Single Mote Attacks in RPL Networks. ICETE (2) Nicolas M. Müller, Pascal Debus, Daniel Kowatsch, Konstantin Böttinger
2019	—	`conf`	On GDPR Compliance of Companies' Privacy Policies. TSD Nicolas M. Müller, Daniel Kowatsch, Pascal Debus, Donika Mirdita, Konstantin Böttinger