22 citations · 82 across the 24 of their papers we have counts for
Showing 2021 · stat.APShow all
2 papers · 2 filters
stat.AP2021
Data Privacy Protection and Utility Preservation through Bayesian Data Synthesis: A Case Study on Airbnb Listings
Shijie Guo, Jingchen Hu
When releasing record-level data containing sensitive information to the public, the data disseminator is responsible for protecting the privacy of every record in the dataset, sim…
stat.AP2021
Accuracy Gains from Privacy Amplification Through Sampling for Differential Privacy
Jingchen Hu, Joerg Drechsler, Hang J. Kim
Recent research in differential privacy demonstrated that (sub)sampling can amplify the level of protection. For example, for -differential privacy and simple random sampling wi…