[1] A. Acar, H. Aksu, A. S. Uluagac and M. Conti, A survey on homomorphic encryption schemes: theory and implementation, ACM Comput. Surv., 51 no. 4 (2019) 1–35.
[2] I. Chillotti, N. Gama, M. Georgieva and M. Izabachene, TFHE: fast fully homomorphic encryption over the torus, J. Cryptology, 33 (2020) no. 1 34–91.
[3] I. Chillotti, M. Joye, D. Ligier, J.-B. Orfila and S. Tap, CONCRETE: Concrete Operates oN Ciphertexts Rapidly by Extending TfhE, WAHC 2020 - 8th Workshop on Encrypted Computing & Applied Homomorphic Cryptography, (2020), [Virtual], France.
[4] I. Chillotti, M. Joye and P. Paillier, Programmable bootstrapping enables efficient homomorphic inference of deep neural networks, Cyber Security Cryptography and Machine Learning (CSCML 2021), Lecture Notes in Comput. Sci., Springer, (2021) 1–19.
[5] L. Ducas and D. Micciancio, FHEW: Bootstrapping homomorphic encryption in less than a second, Advances in cryptology—EUROCRYPT 2015, Part I, Lecture Notes in Comput. Sci., 9056, Springer, Heidelberg, (2015) 617–640.
[6] C. Gentry, Computing arbitrary functions on encrypted data, Communications of the ACM, 53 (2010) no. 3 97–105.
[7] C. Gentry, Fully homomorphic encryption using ideal lattices, STOC ’09: Proceedings of the forty-first annual ACM symposium on Theory of computing, Association for Computing Machinery, New York, (2009) 169–178.
[8] C. Gentry, A. Sahai and B. Waters, Homomorphic encryption from learning with errors: conceptuallysimpler, asymptotically-faster, attribute-based, Advances in Cryptology – CRYPTO 2013, Lecture Notes in Comput. Sci., Springer, Berlin, Heidelberg, 75–92.
[9] V. Lyubashevsky, C. Peikert and O. Regev, On ideal lattices and learning with errors over rings, J. ACM, 60 (2013) no. 6 35 pp.
[10] D. Micciancio and C. Peikert, Trapdoors for lattices: simpler, tighter, faster, smaller, Advances in Cryptology – EUROCRYPT 2012, Lecture Notes in Comput. Sci., Springer, Heidelberg, (2012) 700–718.
[11] O. Regev, On lattices, learning with errors, random linear codes, and cryptography, J. ACM, 56 (2009) no. 6 40 pp.
[12] R. L. Rivest, L. Adleman and M. L. Dertouzos, On data banks and privacy homomorphism, Foundations of secure computation (Workshop, Georgia Inst. Tech., Atlanta, Ga., 1977), Academic, New York, (1978) 169–179.