Tech Deep Dives
Accelerating Homomorphic Encryption Based Privacy-Preserving Machine Learning
As the field of AI has matured, it has become evident that without protecting private data, we can expose our data sources to potentially harmful exploits, leaving practitioners of AI responsible for the consequences. Today the AI industry has responded to this problem by working closely with cryptographers to address this critical juncture in AI technology. One methodology for keeping private data undisclosed that allows for inferring critical insights is called Homomorphic Encryption.
