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Efficient Methods for Trusted Remote Program Execution (Case No. 2023-072)
Summary UCLA researchers have developed a non-interactive and publicly-verifiable method for delegating computation of a program (which may be proprietary) to an untrusted remote worker, allowing any verifier (who does not know the program) to confidently accept the output by verifying a succinct proof and a hash commitment of the program. Background As...
Published: 9/11/2025   |   Inventor(s): Riddhi Ghosal, Amit Sahai, Brent Waters
Keywords(s):  
Category(s): Software & Algorithms