A Review of Open Source fully homophobic Encryption Libraries: Zama.ai Concrete Compiler, Applications and Vulnerability

Abstract

Fully Homomorphic Encryption (FHE) represents a sophisticated cryptographic method that permits computations on encrypted data without the necessity for prior decryption. Substantial progress has been achieved in the realm of FHE and its application since 2015, yielding enhanced efficacy, heightened security, and augmented feasibility. The review paper critically evaluates diverse FHE schemes/libraries, and the extent of progress attained hitherto. Special emphasis is placed on the open
source tools and libraries implementing FHE scheme, notably Concrete, an innovation by Zama.ai, a preeminent research establishment specializing in FHE libraries development. The applications of these libraries are examined, encompassing accomplishments, limitations, and vulnerabilities. Conclusively, prospective avenues for advancement are underscored, deliberated upon, and illuminated.

Keywords: Fully Homomorphic Encryption (FHE), Zama.ai Concrete Compiler, Machine Learning, Security, Open source Library