Enhancing spatial and temporal utilities in differentially private moving objects database release
Author:
Publisher
Springer Science and Business Media LLC
Subject
Computer Networks and Communications,Safety, Risk, Reliability and Quality,Information Systems,Software
Link
https://link.springer.com/content/pdf/10.1007/s10207-020-00516-5.pdf
Reference40 articles.
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2. Chen, R., Acs, G., Castelluccia, C.: Differentially private sequential data publication via variable-length n-grams. In: Proceedings of the 2012 ACM SIGSAC Conference on Computer and Communications Security. ACM, New York, NY, USA, pp. 638–649 (2012). https://doi.org/10.1145/2382196.2382263
3. Chen, R., Fung, B.C.M., Desai, B.C., Sossou, N.M.: Differentially private transit data publication: a case study on the Montreal transportation system. In: Proceedings of the 18th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ACM, New York, NY, USA, pp. 213–221 (2012). https://doi.org/10.1145/2339530.2339564
4. Cormode, G., Jha, S., Kulkarni, T., Li, N., Srivastava, D., Wang, T.: Privacy at scale: local differential privacy in practice. In: Proceedings of the 2018 ACM SIGMOD International Conference on Management of Data. ACM, New York, NY, USA, pp. 1655–1658 (2018). https://doi.org/10.1145/3183713.3197390
5. Cormode, G., Kulkarni, T., Srivastava, D.: Answering range queries under local differential privacy. Proc. VLDB Endow. 12(10), 1126–1138 (2019). https://doi.org/10.14778/3339490.3339496
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