prof. Martine De Cock
- ORCID iD
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0000-0001-7917-0771
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- Conference Paper
- P1
- open access
A decentralized information marketplace preserving input and output privacy
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- Conference Paper
- P1
- open access
Privacy-preserving fair item ranking
(2023) ADVANCES IN INFORMATION RETRIEVAL, ECIR 2023, PT II. In Lecture Notes in Computer Science 13981. p.188-203 -
- Journal Article
- A1
- open access
Secure multi-party computation for personalized human activity recognition
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- Journal Article
- A2
- open access
Privacy-preserving training of tree ensembles over continuous data
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Fuzzy information processing 2020 : proceedings of the 2020 annual conference of the North American fuzzy information processing society, NAFIPS 2020
Barnabás Bede, Martine Ceberio, Martine De Cock (UGent) and Vladik Kreinovich(2022) -
- Conference Paper
- C1
- open access
Private text classification with convolutional neural networks
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- Conference Paper
- P1
- open access
Privacy-preserving video classification with convolutional neural networks
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- Conference Paper
- P1
- open access
Privacy-preserving feature selection with secure multiparty computation
(2021) INTERNATIONAL CONFERENCE ON MACHINE LEARNING. In Proceedings of Machine Learning Research (PMLR) 139. p.6326-6336 -
- Journal Article
- A1
- open access
High performance logistic regression for privacy-preserving genome analysis
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Cognitive load detection from wrist-band sensors