Ghent University Academic Bibliography

Your filters: cql: author="Dowsley, Rafael" or (type any "bookEditor issueEditor" and editor="Dowsley, Rafael")

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An end-to-end framework for private DGA detection as a service

Ricardo J. M. Maia, Dustin Ray, Sikha Pentyala, Rafael Dowsley, Martine De Cock (UGent) , Anderson C. A. Nascimento and Ricardo Jacobi

(2024) PLOS ONE. 19(8).
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A decentralized information marketplace preserving input and output privacy

Steven Golob, Sikha Pentyala, Rafael Dowsley, Bernardo David, Mario Larangeira, Martine De Cock (UGent) and Anderson Nascimento

(2023) PROCEEDINGS OF THE 2ND ACM DATA ECONOMY WORKSHOP, DEC 2023.
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Privacy-preserving training of tree ensembles over continuous data

Samuel Adams, Chaitali Choudhary, Martine De Cock (UGent) , Rafael Dowsley, David Melanson, Anderson Nascimento, Davis Railsback and Jianwei Shen

(2022) PROCEEDINGS ON PRIVACY ENHANCING TECHNOLOGIES. 2022(2). p.205-226
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Privacy-preserving feature selection with secure multiparty computation

Xiling Li, Rafael Dowsley and Martine De Cock (UGent)

(2021) INTERNATIONAL CONFERENCE ON MACHINE LEARNING. In Proceedings of Machine Learning Research (PMLR) 139. p.6326-6336
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Privacy-preserving video classification with convolutional neural networks

Sikha Pentyala, Rafael Dowsley and Martine De Cock (UGent)

(2021) Proceedings of the 38th International Conference on Machine Learning. In Proceedings of Machine Learning Research 139. p.8487-8499
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High performance logistic regression for privacy-preserving genome analysis

Martine De Cock (UGent) , Rafael Dowsley, Anderson C. A. Nascimento, Davis Railsback, Jianwei Shen and Ariel Todoki

(2021) BMC MEDICAL GENOMICS. 14(1).
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Privacy-preserving classification of personal text messages with secure multi-party computation : an application to hate-speech detection

Devin Reich, Ariel Todoki, Rafael Dowsley, Martine De Cock (UGent) and Anderson Nascimento

(2019) ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 32 (NIPS 2019). In Advances in Neural Information Processing Systems 32.
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Efficient and private scoring of decision trees, support vector machines and logistic regression models based on pre-computation

Martine De Cock (UGent) , Rafael Dowsley, Caleb Horst, Rajendra Katti, Anderson Nascimento, Wing-Sea Poon and Stacey Truex

(2019) IEEE TRANSACTIONS ON DEPENDABLE AND SECURE COMPUTING. 16(2). p.217-230
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Protecting privacy of users in brain-computer interface applications

Anisha Agarwal, Rafael Dowsley, Nicholas D McKinney, Dongrui Wu, Chin-Teng Lin, Martine De Cock (UGent) and Anderson CA Nascimento

(2019) IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING. 27(8). p.1546-1555
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Privacy-preserving user profiling with Facebook likes

Sanchya Bhagat, Keerthanaa Saminathan, Anisha Agarwal, Rafael Dowsley, Martine De Cock (UGent) and Anderson Nascimento

(2018) 2018 IEEE International conference on Big Data (Big Data 2018). In IEEE International Conference on Big Data p.5298-5299

Academic Bibliography

An end-to-end framework for private DGA detection as a service

A decentralized information marketplace preserving input and output privacy

Privacy-preserving training of tree ensembles over continuous data

Privacy-preserving feature selection with secure multiparty computation

Privacy-preserving video classification with convolutional neural networks

High performance logistic regression for privacy-preserving genome analysis

Privacy-preserving classification of personal text messages with secure multi-party computation : an application to hate-speech detection

Efficient and private scoring of decision trees, support vector machines and logistic regression models based on pre-computation

Protecting privacy of users in brain-computer interface applications

Privacy-preserving user profiling with Facebook likes

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