237 citations · 845 across the 23 of their papers we have counts for
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cs.DB2016★ 162 cited
Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy
Thông T. Nguyên, Xiaokui Xiao, Yin Yang +3
Organizations with a large user base, such as Samsung and Google, can potentially benefit from collecting and mining users' data. However, doing so raises privacy concerns, and ris…
cs.DB2016
Convex Optimization for Linear Query Processing under Approximate Differential Privacy
Ganzhao Yuan, Yin Yang, Zhenjie Zhang +1
Differential privacy enables organizations to collect accurate aggregates over sensitive data with strong, rigorous guarantees on individuals' privacy. Previous work has found that…