Fully homomorphic encryption
The problem of constructing fully homomorphic encryption (FHE) is one of the oldest and most fascinating in cryptography. An FHE scheme allows one to perform arbitrary computations f on encrypted data Enc(x), so as to obtain the encryption Enc(f(x)), using only public information and without learning anything about the value of x. This enables outsourcing computations on private data to a third party, while maintaining the data's privacy (for example "oblivious web search") - a core task for secure cloud computing.
The problem has been presented back in 1978, but the first candidate was only introduced in 2009 in Gentry's breakthrough work. Since then, there have been rapid and exciting developments. In this course I will define fully homomorphic encryption, survey the literature, and present state of the art constructions.
- Z. Brakerski. Fully homomorphic encryption. Slides from the EWSCS 2015 course. [pdf]
- Z. Brakerski. Fully homomorphic encryption. Exercises to accompany the EWSCS 2015 course. [pdf]
- An additional problem. [txt]
- Videos from the lectures.
- R. L. Rivest, L. Adleman, M. L. Dertouzos. On data banks and privacy homomorphisms. In R. A. DeMillo, D. P. Dobkin, A. K. Jones, R. J. Lipton, eds., Foundations of Secure Computation, pp. 169-179. Academic Press, 1978.
- O. Regev. On lattices, learning with errors, random linear codes, and cryptography. J. of ACM, v. 56, n. 6, article 34, 2009. [doi link]
- C. Gentry. A fully homomorphic encryption scheme. PhD thesis. Stanford University, 2009. [copy on author's webpage]
- Z. Brakerski, V. Vaikuntanathan. Efficient fully homomorphic encryption from (standard) LWE. In Proc. of 52nd Ann. IEEE Symp. on Foundations of Computer Science, FOCS '11, pp. 97-106. IEEE, 2011. [doi link]
- C. Gentry, A. Sahai, B. Waters. Homomorphic encryption from learning with errors: conceptually-simpler, asymptotically-faster, attribute-based. In R. Canetti, J. A. Garay, eds., Proc. of 33rd Ann. Cryptology Conf., CRYPTO 2013, Part I, v. 8042 of Lect. Notes in Comput. Sci., pp. 75-92. Springer, 2013. [doi link]
- Z. Brakerski, V. Vaikuntanathan. Lattice-based FHE as secure as PKE. In Proc. of 5th Conf. on Innovations in Theoretical Computer Science, ITCS '14, pp. 1-12. ACM Press, 2014. [doi link]
April 17, 2016 21:56 Europe/Helsinki (GMT +03:00)
local organizers, ewscs15(at)cs.ioc.ee
EWSCS'15 page: //cs.ioc.ee/ewscs/2015/