Nov 21, 2011 · This paper presents an efficient and provably-secure construction supporting the privacy-preserving evaluation of sample set similarity, where ...

This paper presents the first efficient and provably-secure construction for privacy-preserving evaluation of sample set similarity, measured as the Jaccard ...

Electronic information is increasingly often shared among entities without complete mutual trust. To address related security and privacy issues, ...

This paper presents an efficient and provably-secure construction supporting the privacy-preserving evaluation of sample set similarity, where similarity is ...

This paper presents an efficient and provably-secure construction supporting the privacy-preserving evaluation of sample set similarity, where similarity is ...

Mar 20, 2014 · This paper presents an efficient and provably-secure construction supporting the privacy-preserving evaluation of sample set similarity, where ...

This paper presents an efficient and provably-secure construction supporting the privacy-preserving evaluation of sample set similarity, where similarity is ...

EsPRESSO: Efficient privacy-preserving evaluation of sample set similarity ... Privacy Preserving Jaccard Similarity by Cloud-Assisted for Classification.

EsPRESSo: Efficient Privacy-Preserving Evaluation of Sample Set Similarity. https://doi.org/10.1007/978-3-642-35890-6_7 · Full text.

This paper presents the first efficient and provably-secure construction for privacy-preserving evaluation of sample set similarity, measured as the Jaccard ...