… security and applied cryptography with an interest in practical applications of homomorphic
encryption, encrypted computing, functional encryption and secure function evaluation, …

… Homomorphic Encryption (FHE) is a cryptographic primitive that allows performing arbitrary
operations on encrypted data… , Proceedings of the 10th Workshop on Encrypted Computing & …

… • Novel compute acceleration: Furthermore, we present new design techniques for the
microprocedures … REED is the first work to benchmark an encrypted deep neural network training, …

… HPSPOVERQLEVELED: the HPSOVERQ variant where modulus switching is applied
inside homomorphic encryption to further reduce the computational complexity [44]. …

… of articles published annually studying homomorphic cryptography and machine learning. …
for HE as the encryption/decryption process involves a complex computation, which may …

… [26] proposed in 2022 a framework able to obtain a high level of accuracy (91.31% …
Proceedings of the 10th Workshop on Encrypted Computing & Applied Homomorphic Cryptography…

… accelerator for efficient unbounded computation on encrypted data,” in Proceedings of the
49th Annual International Symposium on Computer Architecture, 2022, pp. 173–187. [36] C. …

… the encryption and computation process without affecting the correctness of the results. When
performing computations on encrypted … throughout the computation process to ensure the …

… in Proceedings of the 10th Workshop on Encrypted Computing & Applied Homomorphic
Cryptography, 2022… decision tree evaluation via homomorphic encryption and transciphering,” in …

… Furthermore, we apply a tree truncation procedure to reduce server computation without
influencing the output. Table 3 presents the key properties of these datasets. Our …