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Pay Only for Disagreement: Certified No-Regression Verdicts for Model Updates with Matching Label-Complexity Bounds
Author1, Author2, Author3, Author4, Author5
model auditingrisk assessmentupdate certificationlabel efficiency
2609.17560
Builder Relevance
1h ago80%
Abstract
This paper presents a method for certifying model updates to ensure they do not regress in performance, utilizing a novel auditing protocol.
Reality Card
Core Claim
The proposed DISCERN protocol allows for the certification of benign model updates with a high degree of accuracy, achieving a miscoverage rate of only 0.0002.
Method / Result
56% of benign updates can be certified with zero labels, demonstrating significant efficiency in the auditing process.
Limitations
The method's performance may vary based on the adversarial nature of the label-routing rule used during audits.
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