// MODEL OPTIMIZATION AND PROMPT SYNTAX TERM
Homomorphic
A type of encryption that allows computations to be performed on encrypted data without decrypting it first.
TECHNICAL DEFINITION
Pertaining to homomorphic encryption (HE), a cryptographic scheme enabling computations (e.g., addition, multiplication) directly on encrypted data, yielding an encrypted result that, when decrypted, matches the result of the same computation on the plaintext data, crucial for privacy-preserving AI.
SYNONYMS & ALIASES
- Homomorphic encryption (HE)
- encrypted computation
- privacy-preserving cryptography
USAGE NOTE
Homomorphic encryption is a powerful tool for privacy-preserving machine learning in cloud environments.
DEVELOPERS
Organizations developing technology related to Homomorphic.
A leader in homomorphic encryption research, developing libraries like HElib and an FHE Toolkit to enable secure computation on encrypted data, with applications in AI and cloud computing.
Developed the Simple Encrypted Arithmetic Library (SEAL), one of the most widely adopted open-source homomorphic encryption libraries, and actively researches its applications in secure AI/ML.
Actively researches and implements homomorphic encryption for privacy-preserving machine learning, secure data analytics, and confidential computing within its cloud infrastructure and AI initiatives.
A pioneering startup exclusively focused on fully homomorphic encryption (FHE), providing an open-source FHE framework (Concrete) and tools for building privacy-preserving AI applications and blockchain solutions.
An enterprise software company offering secure computation and data science platforms built on homomorphic encryption, enabling collaborative AI and analytics on sensitive, encrypted data.
Provides secure computation platforms utilizing privacy-enhancing technologies, including homomorphic encryption, to enable secure AI/ML and analytics on distributed, sensitive data without decryption.
An independent company spun out of Alphabet, focusing on quantum AI and security, including advanced cryptography like homomorphic encryption for secure data processing in an AI context.
Develops specialized high-performance computing solutions and processors designed to accelerate privacy-preserving technologies, including fully homomorphic encryption, for AI and complex data workloads.