"Computing with encrypted data"
Over the past few years, great advancements have been made to the encryption and the protection of data, however the potential for cyberattacks and theft are still of great concern as the data must be decrypted to be manipulated. Therefore, there is much research pertaining to the manipulation of data in its encrypted state. The Rapid Machine-learning Processing Applications and Reconfigurable Targeting of Security (RAMPARTS) is an initiative to further enhance the promising solution of fully homomorphic encryption (FHE), which is expected to advance encrypted computing. This article further discusses past research that has been conducted on encrypted data, the goal of RAMPARTS, and areas in which encrypted data would be valuable.
Submitted by Anonymous
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