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Locally differentially private frequency distribution estimation with relative error optimization |
Ning WANG1, Yifei LIU2, Zhigang WANG1( ), Zhiqiang WEI2, Ruichun TANG2, Peng TANG3, Ge YU4 |
1. Cyberspace Institute of Advanced Technology, Guangzhou University, Guangzhou 510006, China
2. School of Computer Science and Technology, Ocean University of China, Qingdao 266100, China
3. Key Laboratory of Cryptologic Technology and Information Security (Ministry of Education),Shandong University, Qingdao 266071, China
4. School of Computer Science and Technology, Northeastern University, Shenyang 110819, China |
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Corresponding Author(s):
Zhigang WANG
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Just Accepted Date: 03 April 2024
Issue Date: 13 May 2024
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| 1 |
T, Wang J, Blocki N, Li S Jha . Locally differentially private protocols for frequency estimation. In: Proceedings of the 26th USENIX International Conference on Security Symposium. 2017, 729−745
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N, Li W, Qardaji D, Su J Cao . PrivBasis: frequent itemset mining with differential privacy. Proceedings of the VLDB Endowment, 2012, 5( 11): 1340–1351
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N, Wang X, Xiao Y, Yang J, Zhao S C, Hui H, Shin J, Shin G Yu . Collecting and analyzing multidimensional data with local differential privacy. In: Proceedings of the 35th International Conference on Data Engineering. 2019, 638−649
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