The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
Privacy Preserving Data Mining
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Cites
Quinlan, J. R. (1986) · Machine Learning · doi:10.1007/bf00116251 · Cited by 21,439
How to generate and exchange secrets
Yao, A. C.-C. (1986) · 27th Annual Symposium on Foundations of Computer Science (sfcs 1986) · doi:10.1109/sfcs.1986.25 · Cited by 3,733
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
Privacy-preserving data mining
Agrawal, R., & Srikant, R. (2000) · ACM SIGMOD Record · doi:10.1145/335191.335438 · Cited by 2,961
Completeness theorems for non-cryptographic fault-tolerant distributed computation
Ben-Or, M., & Wigderson, A. (1988) · Proceedings of the twentieth annual ACM symposium on Theory of computing - STOC '88 · doi:10.1145/62212.62213 · Cited by 2,524
Multiparty unconditionally secure protocols
Chaum, D., Crépeau, C., & Damgard, I. (1988) · Proceedings of the twentieth annual ACM symposium on Theory of computing - STOC '88 · doi:10.1145/62212.62214 · Cited by 1,544
A Randomized Protocol for Signing Contracts
Even, S., Goldreich, O., & Lempel, A. (1983) · Advances in Cryptology · doi:10.1007/978-1-4757-0602-4_19 · Cited by 1,450
Security and Composition of Multiparty Cryptographic Protocols
Canetti, R. (2000) · Journal of Cryptology · doi:10.1007/s001459910006 · Cited by 1,403
Chor, B., Goldreich, O., Kushilevitz, E., & Sudan, M. (2002) · Proceedings of IEEE 36th Annual Foundations of Computer Science · doi:10.1109/sfcs.1995.492461 · Cited by 1,116
Privacy Preserving Data Mining
Lindell, Y., & Pinkas, B. (2000) · Lecture Notes in Computer Science · doi:10.1007/3-540-44598-6_3 · Cited by 1,077
Cited by
Wu, X., Zhu, X., Wu, G.-Q., & Ding, W. (2014) · IEEE Transactions on Knowledge and Data Engineering · doi:10.1109/tkde.2013.109 · Cited by 2,410
Extending Oblivious Transfers Efficiently
Ishai, Y., Kilian, J., Nissim, K., & Petrank, E. (2003) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-45146-4_9 · Cited by 746
Machine Learning Models that Remember Too Much
Song, C., Ristenpart, T., & Shmatikov, V. (2017) · Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security · doi:10.1145/3133956.3134077 · Cited by 526
Bhaladhare, P. R., & Jinwala, D. C. (2014) · Advances in Computer Engineering · doi:10.1155/2014/396529 · Cited by 286
Privacy-preserving distributed linear regression on high-dimensional data
Gascón, A., Schoppmann, P., Balle, B., Raykova, M., Doerner, J., Zahur, S., & Evans, D. (2017) · Proceedings on Privacy Enhancing Technologies · doi:10.1515/popets-2017-0053 · Cited by 193
Metadata
- Authors
- Lindell, & Pinkas
- Venue
- Journal of Cryptology
- Published
- 2002-06
- Volume
- 15
- Issue
- 3
- Pages
- 177-206
- ISSN
- 0933-2790 (ISSN-L)
- 1432-1378
- OpenAlex
- W2047370889
- Cited by
- 668
- References
- 18
- FWCI
- 14.39
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Lindell, & Pinkas. (2002). Privacy Preserving Data Mining. Journal of Cryptology. https://doi.org/10.1007/s00145-001-0019-2
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
