Secure multiparty aggregation with differential privacy: a comparative study
Proceedings of the Joint EDBT/ICDT 2013 Workshops
FAST: differentially private real-time aggregate monitor with filtering and adaptive sampling
Proceedings of the 2013 ACM SIGMOD International Conference on Management of Data
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The guest editors discuss data surveillance. Proponents hope that data surveillance technology will be able to anticipate and prevent terrorist attacks, detect disease outbreaks, and allow for detailed social science research--all without the corresponding risks to personal privacy because machines, not people, perform the surveillance.