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Auditing Anonymous AI Models: A Four-Stage Protocol for Black-Box Identity Verification

Paper recorded by Signals 4 on 2026-08-31 in cs.AI. Abstract reproduced from arXiv; link to the original below.

Published 2026-08-31 on arXiv · recorded by Signals 4 on 2026-09-01

Category: cs.AI · 人工智能 · first seen 2026-09-01

Abstract

The 2025--2026 AI market has seen a wave of stealth releases: frontier models launched anonymously on developer platforms under codenames. For their users, identity determines data-handling terms, supply-chain risk, and capability expectations. No validated methodology exists for black-box identity verification of anonymous models: practitioner checklists lack accuracy evidence, and self-identific

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#242 most recent of 300 cs.AI papers we have recorded · ↑ newer: SUN: Persistent Programs For Language-Grounded Control-to-Learning-to- · ↓ older: OntoAligner-Ensemble: Voting-Based Fusion across Heterogeneous Ontolog

Cite this page: Auditing Anonymous AI Models: A Four-Stage Protocol for Black-Box Identity Verification: the #242 most recent of 300 cs.AI papers we have recorded (as of 2026-08-31). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/auditing-anonymous-ai-models-a-four-stage-protocol-for-black-box-identity-verifi.html
Free to quote with attribution to “Signals 4 (Signals API)”. Machine-readable: papers.json

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