论文信息 - Towards a private vector space model for confidential documents

Towards a private vector space model for confidential documents

We introduce in this paper a method to anonymize document vector spaces. These vector spaces can be used to analyze confidential documents without disclosing private information. The method is inspired in microaggregation, a popular technique used in statistical disclosure control.

Vicenç Torra | Guillermo Navarro-Arribas | Daniel Abril

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