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Autores
Orientador(es)
Resumo(s)
There is a growing demand for statistical data analysis as it is being adopted by many
businesses for a variety of purposes. For that reason, there has been a lot of attention recently
focused on the concept of differential privacy as a standard model for ensuring privacy when
personal information is used and sold for secondary purposes. In this work, we explore the
available privacy-preserving mechanisms and test one of the more mature techniques in an
experiment. In the end, we present the findings and conclude on the practicality and accuracy
of the technique.
Descrição
Palavras-chave
Cryptography Statistical data Epsilon Differential privacy
