The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Cryptographic techniques for privacy-preserving data mining
Abstract
Research in secure distributed computation, which was done as part of a larger body of research in the theory of cryptography, has achieved remarkable results. It was shown that non-trusting parties can jointly compute functions of their different inputs while ensuring that no party learns anything but the defined output of the function. These results were shown using generic constructions that can be applied to any function that has an efficient representation as a circuit. We describe these results, discuss their efficiency, and demonstrate their relevance to privacy preserving computation of data mining algorithms. We also show examples of secure computation of data mining algorithms that use these generic constructions.
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Cites
Goldreich, O., Micali, S., & Wigderson, A. (1987) · Proceedings of the nineteenth annual ACM conference on Theory of computing - STOC '87 · doi:10.1145/28395.28420 · Cited by 3,590
Cited by
Privacy-preserving data publishing: A survey of recent developments
Fung, B. C. M., Wang, K., Chen, R., & Yu, P. S. (2010) · ACM Computing Surveys · doi:10.1145/1749603.1749605 · Cited by 1,704
Tools for privacy preserving distributed data mining
Clifton, C., Kantarcioglu, M., Vaidya, J., Lin, X., & Zhu, M. Y. (2002) · ACM SIGKDD Explorations Newsletter · doi:10.1145/772862.772867 · Cited by 890
When Machine Learning Meets Privacy: A Survey and Outlook
Liu, B., Ding, M., Shaham, S., Rahayu, W., Farokhi, F., & Lin, Z. (2022) · ACM Computing Surveys · doi:10.1145/3436755 · Cited by 455
A Survey of Self-Sovereign Identity Ecosystem
Soltani, R., Nguyen, U. T., & An, A. (2021) · Security and Communication Networks · doi:10.1155/2021/8873429 · Cited by 131
“Pinkas [120] provides a detailed definition of SMC and various other privacy-preserving data mining techniques.”
BackgroundPractical Key Recovery Model for Self-Sovereign Identity Based Digital Wallets
Soltani, R., Nguyen, U. T., & An, A. (2019) · 2019 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) · doi:10.1109/dasc/picom/cbdcom/cyberscitech.2019.00066 · Cited by 39
Metadata
- Authors
- Pinkas, B.
- Venue
- ACM SIGKDD Explorations Newsletter
- Published
- 2002-12
- Volume
- 4
- Issue
- 2
- Pages
- 12-19
- ISSN
- 1931-0145 (ISSN-L)
- 1931-0153
- OpenAlex
- W2001336960
- Cited by
- 430
- References
- 1
- FWCI
- 8.70
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
