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Md Momin Al Aziz, Md Toufique Morshed Tamal and Noman Mohammed
Fully homomorphic encryption (FHE) cryptographic systems enable limitless computations over encrypted data, providing solutions to many of today?s data security problems. While effective FHE platforms can address modern data security concerns in unsecure...
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Jestine Paul, Benjamin Hong Meng Tan, Bharadwaj Veeravalli and Khin Mi Mi Aung
Machine learning classification algorithms, such as decision trees and random forests, are commonly used in many applications. Clients who want to classify their data send them to a server that performs their inference using a trained model. The client m...
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Shinji Ono, Jun Takata, Masaharu Kataoka, Tomohiro I, Kilho Shin and Hiroshi Sakamoto
For the feature selection problem, we propose an efficient privacy-preserving algorithm. Let D, F, and C be data, feature, and class sets, respectively, where the feature value ??(????)
x
(
F
i
)
and the class label ??(??)
x
(
C
)
are given for each ??...
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Hiroki Okada, Shinsaku Kiyomoto and Carlos Cid
TFHE is a fast fully homomorphic encryption scheme proposed by Chillotti et al. in Asiacrypt? 2018. Integer-wise TFHE is a generalized version of TFHE that can encrypt the plaintext of an integer that was implicitly presented by Chillotti et al., and Bou...
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