ERATO: Trading Noisy Aggregate Statistics over Private Correlated Data

With the commoditization of personal privacy, pricing private data has become an intriguing problem. In this paper, we study noisy aggregate statistics trading from the perspective of a data broker in data markets. We thus propose ERATO, which enables aggr E gate statistics p R icing over priv AT e...

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Veröffentlicht in:	IEEE transactions on knowledge and data engineering 2021-03, Vol.33 (3), p.975-990
Hauptverfasser:	Niu, Chaoyue, Zheng, Zhenzhe, Wu, Fan, Tang, Shaojie, Gao, Xiaofeng, Chen, Guihai
Format:	Artikel
Sprache:	eng
Schlagworte:	Aggregates Arbitrage Correlation data correlation Data models data privacy Data trading Datasets Differential privacy Pricing Privacy Social networks Statistics
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