62 citations · 230 across the 18 of their papers we have counts for
7 papers · 1 filter
Elasticutor: Rapid Elasticity for Realtime Stateful Stream Processing
Li Wang, Tom Z. J. Fu, Richard T. B. Ma +2
Elasticity is highly desirable for stream processing systems to guarantee low latency against workload dynamics, such as surges in data arrival rate and fluctuations in data distri…
Distributed Publish/Subscribe Query Processing on the Spatio-Textual Data Stream
Zhida Chen, Gao Cong, Zhenjie Zhang +2
Huge amount of data with both space and text information, e.g., geo-tagged tweets, is flooding on the Internet. Such spatio-textual data stream contains valuable information for mi…
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…
Functional Mechanism: Regression Analysis under Differential Privacy
Jun Zhang, Zhenjie Zhang, Xiaokui Xiao +2
ε-differential privacy is the state-of-the-art model for releasing sensitive information while protecting privacy. Numerous methods have been proposed to enforce epsilon-differenti…