Ppimce: An in-memory computing fabric for privacy preserving computing
Privacy has rapidly become a major concern/design consideration. Homomorphic
Encryption (HE) and Garbled Circuits (GC) are privacy-preserving techniques that support …
Encryption (HE) and Garbled Circuits (GC) are privacy-preserving techniques that support …
Benchmarking Fully Homomorphic Encryption Libraries in IoT Devices
T Rahman, AMIM Osmani, MS Rahman… - Proceedings of the 11th …, 2024 - dl.acm.org
Homomorphic encryption is a standard that allows arithmetic and logical operations to be
performed on encrypted data. This is relevant in data analytics, where sensitive data such as …
performed on encrypted data. This is relevant in data analytics, where sensitive data such as …
Performance Comparison of Homomorphic Encrypted Convolutional Neural Network Inference Among HElib, Microsoft SEAL and OpenFHE
Homomorphic encryption (HE) offers a promising solution for maintaining data privacy even
during calculation, as it allows for the evaluation of ciphertexts. Several HE libraries have …
during calculation, as it allows for the evaluation of ciphertexts. Several HE libraries have …
[PDF][PDF] PERFORMANCE COMPARISON OF LIBRARIES FOR HOMOMORPHIC CRYPTOGRAPHY
P BABJAK - theses.cz
Cryptography is an integral part of computer security. When using common cryptography
methods and operations on them, individual data are not protected against unauthorized …
methods and operations on them, individual data are not protected against unauthorized …