131 citations · 227 across the 26 of their papers we have counts for
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cs.CR2019★ 3 cited
Linear and Range Counting under Metric-based Local Differential Privacy
Zhuolun Xiang, Bolin Ding, Xi He +1
Local differential privacy (LDP) enables private data sharing and analytics without the need for a trusted data collector. Error-optimal primitives (for, e.g., estimating means and…
cs.CR2019★ 1 cited
Crypt: Crypto-Assisted Differential Privacy on Untrusted Servers
Amrita Roy Chowdhury, Chenghong Wang, Xi He +2
Differential privacy (DP) has steadily become the de-facto standard for achieving privacy in data analysis, which is typically implemented either in the "central" or "local" model.…