Towards automated homomorphic encryption parameter selection with fuzzy logic and linear programming
Author:
Publisher
Elsevier BV
Subject
Artificial Intelligence,Computer Science Applications,General Engineering
Reference33 articles.
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5. Boemer, F., Costache, A., Cammarota, R., & Wierzynski, C. (2019). nGraph-HE2: A high-throughput framework for neural network inference on encrypted data. In Proceedings of the 7th ACM Workshop on encrypted computing & applied homomorphic cryptography (pp. 45–56).
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