The DOI matches its Crossref record; 39 of the 39 references it cites were found in a registry or an index.
Machine Learning Classification over Encrypted Data
Abstract
Machine learning classification is used in numerous settings nowadays, such as medical or genomics predictions, spam detection, face recognition, and financial predictions.Due to privacy concerns, in some of these applications, it is important that the data and the classifier remain confidential.In this work, we construct three major classification protocols that satisfy this privacy constraint: hyperplane decision, Naïve Bayes, and decision trees.We also enable these protocols to be combined with AdaBoost.At the basis of these constructions is a new library of building blocks for constructing classifiers securely; we demonstrate that this library can be used to construct other classifiers as well, such as a multiplexer and a face detection classifier.We implemented and evaluated our library and classifiers.Our protocols are efficient, taking milliseconds to a few seconds to perform a classification when running on real medical datasets.
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UCI Machine Learning Repository
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Li, T., Sahu, A. K., Talwalkar, A., & Smith, V. (2020) · IEEE Signal Processing Magazine · doi:10.1109/msp.2020.2975749 · Cited by 6,210
Salem, A., Zhang, Y., Humbert, M., Berrang, P., Fritz, M., & Backes, M. (2019) · Proceedings 2019 Network and Distributed System Security Symposium · doi:10.14722/ndss.2019.23119 · Cited by 852
SecureBoost: A Lossless Federated Learning Framework
Cheng, K., Fan, T., Jin, Y., Liu, Y., Chen, T., Papadopoulos, D., & Yang, Q. (2019) · arXiv · doi:10.48550/arxiv.1901.08755 · Cited by 668
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
SecureBoost: A Lossless Federated Learning Framework
Cheng, K., Fan, T., Jin, Y., Liu, Y., Chen, T., Papadopoulos, D., & Yang, Q. (2021) · IEEE Intelligent Systems · doi:10.1109/mis.2021.3082561 · Cited by 669
Metadata
- Authors
- Bost, R., Popa, R. A., Tu, S., & Goldwasser, S.
- Venue
- Proceedings 2015 Network and Distributed System Security Symposium
- Publisher
- Internet Society
- Published
- 2015
- OpenAlex
- W2031738616
- Cited by
- 674
- References
- 39
- FWCI
- 30.87
- Type
- conference paper
- Language
- en
- Open access
- closed
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- Bost, R., Popa, R. A., Tu, S., & Goldwasser, S. (2015). Machine Learning Classification over Encrypted Data. Proceedings 2015 Network and Distributed System Security Symposium. https://doi.org/10.14722/ndss.2015.23241
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