Search Results for author: Sigal Shaked

Found 2 papers, 1 papers with code

Sequence Preserving Network Traffic Generation

no code implementations23 Feb 2020 Sigal Shaked, Amos Zamir, Roman Vainshtein, Moshe Unger, Lior Rokach, Rami Puzis, Bracha Shapira

We examined two methods for extracting sequences of activities: a Markov model and a neural language model.

Language Modelling Two-sample testing

PrivGen: Preserving Privacy of Sequences Through Data Generation

1 code implementation23 Feb 2020 Sigal Shaked, Lior Rokach

Since in many cases the researcher does not need the data as is and instead is only interested in the patterns that exist in the data, we propose PrivGen, an innovative method for generating data that maintains patterns and characteristics of the source data.

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