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QUACK: Quantum Aligned Centroid Kernel por Kilian Tscharke

Publicado en arXiv.org (Jul 24, 2024)

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Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling por Kölle, Michael

Publicado en arXiv.org (Jul 30, 2024)

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Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel por Kilian Tscharke

Publicado en arXiv.org (Jan 3, 2024)

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Towards Classical Software Verification using Quantum Computers por Issel, Sebastian

Publicado en arXiv.org (Apr 29, 2024)

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A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models por Wendlinger, Maximilian

Publicado en arXiv.org (Apr 24, 2024)

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Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements por Kölle, Michael

Publicado en arXiv.org (Dec 14, 2023)

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Deep Reinforcement Learning for Backup Strategies against Adversaries por Debus, Pascal

Publicado en arXiv.org (Feb 12, 2021)

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Protecting Publicly Available Data With Machine Learning Shortcuts por Müller, Nicolas M

Publicado en arXiv.org (Oct 30, 2023)

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Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning por Wendlinger, Maximilian

Publicado en The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2025)

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Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security por Debus, Pascal

Publicado en The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2025)

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Towards Classical Software Verification using Quantum Computers por Issel, Sebastian

Publicado en The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2025)

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Quantum Autoencoder for Multivariate Time Series Anomaly Detection por Kilian Tscharke

Publicado en The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2025)

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A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models por Wendlinger, Maximilian

Publicado en The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2024)

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QUACK: Quantum Aligned Centroid Kernel por Kilian Tscharke

Publicado en The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2024)

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Quantum Machine Learning Playground por Debus, Pascal

Publicado en IEEE Computer Graphics and Applications (2024)

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Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel por Kilian Tscharke

Publicado en The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Conference Proceedings (2023)

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Resultados de búsqueda - Debus, Pascal

QUACK: Quantum Aligned Centroid Kernel por Kilian Tscharke

Efficient Quantum One-Class Support Vector Machines for Anomaly Detection Using Randomized Measurements and Variable Subsampling por Kölle, Michael

Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel por Kilian Tscharke

Towards Classical Software Verification using Quantum Computers por Issel, Sebastian

A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models por Wendlinger, Maximilian

Towards Efficient Quantum Anomaly Detection: One-Class SVMs using Variable Subsampling and Randomized Measurements por Kölle, Michael

Deep Reinforcement Learning for Backup Strategies against Adversaries por Debus, Pascal

Protecting Publicly Available Data With Machine Learning Shortcuts por Müller, Nicolas M

Old Rules in a New Game: Mapping Uncertainty Quantification to Quantum Machine Learning por Wendlinger, Maximilian

Entangled Threats: A Unified Kill Chain Model for Quantum Machine Learning Security por Debus, Pascal

Towards Classical Software Verification using Quantum Computers por Issel, Sebastian

Quantum Autoencoder for Multivariate Time Series Anomaly Detection por Kilian Tscharke

A Comparative Analysis of Adversarial Robustness for Quantum and Classical Machine Learning Models por Wendlinger, Maximilian

QUACK: Quantum Aligned Centroid Kernel por Kilian Tscharke

Quantum Machine Learning Playground por Debus, Pascal

Semisupervised Anomaly Detection using Support Vector Regression with Quantum Kernel por Kilian Tscharke

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