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Works (5)

Detecting Evasion Attacks in Deployed Tree Ensembles

2023 | Book chapter
DOI: 10.1007/978-3-031-43424-2_8
Contributors: Laurens Devos; Lorenzo Perini; Wannes Meert; Jesse Davis
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Semi-supervised Learning from Active Noisy Soft Labels for Anomaly Detection

2023 | Book chapter
DOI: 10.1007/978-3-031-43412-9_13
Contributors: Timo Martens; Lorenzo Perini; Jesse Davis
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Learning from Positive and Unlabeled Multi-Instance Bags in Anomaly Detection

2023-08-06 | Conference paper
DOI: 10.1145/3580305.3599409
Contributors: Lorenzo Perini; Vincent Vercruyssen; Jesse Davis
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Quantifying the Confidence of Anomaly Detectors in Their Example-Wise Predictions

2021 | Book chapter
DOI: 10.1007/978-3-030-67664-3_14
Contributors: Lorenzo Perini; Vincent Vercruyssen; Jesse Davis
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A Ranking Stability Measure for Quantifying the Robustness of Anomaly Detection Methods

2020 | Book chapter
DOI: 10.1007/978-3-030-65965-3_27
Contributors: Lorenzo Perini; Connor Galvin; Vincent Vercruyssen
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Peer review (7 reviews for 1 publication/grant)

Review activity for Machine learning. (7)
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