35 citations · 81 across the 17 of their papers we have counts for
4 papers · 1 filter
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…
Optimizing Batch Linear Queries under Exact and Approximate Differential Privacy
Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett +3
Differential privacy is a promising privacy-preserving paradigm for statistical query processing over sensitive data. It works by injecting random noise into each query result, suc…
Low Rank Mechanism for Optimizing Batch Queries under Differential Privacy
Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett +3
Differential privacy is a promising privacy-preserving paradigm for statistical query processing over sensitive data. It works by injecting random noise into each query result, suc…
Low-Rank Mechanism: Optimizing Batch Queries under Differential Privacy
Ganzhao Yuan, Zhenjie Zhang, Marianne Winslett +3
Differential privacy is a promising privacy-preserving paradigm for statistical query processing over sensitive data. It works by injecting random noise into each query result, suc…