Integrating historical noisy answers for improving data utility under differential privacy

• Main Authors: Bhowmick, Sourav S., Chen, Shixi, Zhou, Shuigeng
• Other Authors: School of Computer Engineering
• Format: Conference or Workshop Item
• Language: English
• Published: 2013
• Online Access: https://hdl.handle.net/10356/84235; http://hdl.handle.net/10220/12280
• Institution: Nanyang Technological University

Differential privacy is a robust principle for privacy preserving data analysis tasks, and has been successfully applied to a variety of applications. However, the number of queries that can be answered is limited for preventing privacy disclosure. Once the privacy budget is exhausted, all succeedin...