1 citations · 2 across the 5 of their papers we have counts for
5 papers
Triple-Hoisted Baby-Step Giant-Step Linear Transformation over CKKS Homomorphic Encryption and Hardware Accelerator
Sajjad Akherati, Xinmiao Zhang
Computations can be directly carried out over ciphertexts using homomorphic encryption (HE), which is indispensable for privacy-preserving cloud computing. Linear transformation is…
Multi-Input Ciphertext Multiplication for Homomorphic Encryption
Sajjad Akherati, Xinmiao Zhang
Homomorphic encryption (HE) enables arithmetic operations to be performed directly on encrypted data. It is essential for privacy-preserving applications such as machine learning,…
Three-Input Ciphertext Multiplication for Homomorphic Encryption
Sajjad Akherati, Yok Jye Tang, Xinmiao Zhang
Homomorphic encryption (HE) allows computations to be directly carried out on ciphertexts and is essential to privacy-preserving computing, such as neural network inference, medica…
Efficient Homomorphically Encrypted Convolutional Neural Network Without Rotation
Sajjad Akherati, Xinmiao Zhang
Privacy-preserving neural network (NN) inference can be achieved by utilizing homomorphic encryption (HE), which allows computations to be directly carried out over ciphertexts. Po…
Low-Complexity Integer Divider Architecture for Homomorphic Encryption
Sajjad Akherati, Jiaxuan Cai, Xinmiao Zhang
Homomorphic encryption (HE) allows computations to be directly carried out on ciphertexts and enables privacy-preserving cloud computing. The computations on the coefficients of th…