Aurelio Amaral Henriques

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Machine learning tasks typically require large amounts of sensitive data to be shared, which is notoriously intrusive in terms of privacy. Outsourcing this computation to the cloud requires the server to be trusted, introducing a non-realistic security assumption and high risk of abuse or data breaches. But if the cloud were able to perform computations(More)
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