arXiv AI By Fanzhe Wei, Li Liu

Pricing the Risk of Runtime Compression: Anytime-Valid Admission and a Served-Output Law for Compressed Serving State

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arXiv:2608. 15810v1 Announce Type: new Abstract: Runtime compression of serving state trades quality for capacity with no priced guarantee: systems adapt precision on load signals with no soundness statement, and certified approaches budget request-level risk by a union bound over a pre-declared event count.

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arXiv Machine Learning
Sep 21

ServeGuard: Verifiable, Bounded-Residual Confinement of Operator-Invisible Channels Without Revealing the Certified Read Factor

ServeGuard is a supply‑chain primitive that allows a publisher to ship a proof‑carrying adapter for an open‑weight language model, proving in zero‑knowledge that the adapter contains no hidden backdoor channel in the monitor’s blind subspace. The proof is inexpensive because it relies on a deterministic function of the public base model, and the served residual is the model’s own public floor. The system lets consumers or regulators verify the absence of this class of hidden channels without revealing the certified read factor or trusting the publisher.

By Dominik Dahlem, Rui Vieira