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20162024
most citedUsing Neural Generative Models to Release Synthetic Twitter Corpora with Reduced Stylometric Identifiability of Users

3 citations · 5 across the 7 of their papers we have counts for

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Showing 2019Show all

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stat.AP2019★ 1 cited

Comparative Study of Differentially Private Synthetic Data Algorithms from the NIST PSCR Differential Privacy Synthetic Data Challenge

Claire McKay Bowen, Joshua Snoke

Differentially private synthetic data generation offers a recent solution to release analytically useful data while preserving the privacy of individuals in the data. In order to u…