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papersSEP 10 04:00 UTC

Study Proposes Maverick for Private, Verifiable LLM Inference via Matrix-Vector Delegation

A paper posted to arXiv introduces Maverick, a system designed to let users run LLM inference on external servers without exposing their inputs or blindly trusting the returned results. The method delegates the heavy matrix-vector multiplications that dominate transformer inference while adding privacy protections and a mechanism to confirm that computations were performed correctly. The authors frame the work as a step toward making private and verifiable inference practical for open-source models.

arXivMaverickmatrix-vector-delegationopen-weightsprivate-llm-inferenceverifiable-llm-inference

COVERAGE · 1 REPORT · LINKS GO TO THE ORIGINAL OUTLETS

arXiv cs.LGMaverick: Private and Verifiable LLM Inference Made Practical via Matrix-Vector Multiplication Delegation ↗SEP 10 04:00 UTC

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