IBM T J WATSON RESEARCH CENTER

Enabling processing encrypted data elevates the bar of confidentiality in existing security solutions and opens the front to new applications. It preserves individuals' privacy and market competitiveness while sustaining societal and economic growth through data sharing, collaboration, and artificial intelligence. Homomorphic Encryption (HE) is a unique family of cryptographic methods to process encrypted data. HE applications can reduce the risk of third-party data leakage at the processing node while preserving both data ownership and lifecycle. However, the performance gap that even the most efficient HE schemes hinder enabling meaningful HE applications and adopting the technology. HE applications can be a million times slower than the corresponding unencrypted applications on existing hardware architectures. Other barriers to adoption include the lack of development tools to reduce non-recurring engineering costs to build HE applications and the lack of international standards...