Source · Tier B · PreprintSource · PAL*M: Property Attestation for Large Generative Models
PAL*M: Property Attestation for Large Generative Models
P. Chantasantitam, A. I. Caulfield, V. Duddu, L. J. Gunn, N. Asokan. 2026. arXiv.
| Original | https://arxiv.org/abs/2601.16199 |
|---|---|
| DOI | 10.48550/arXiv.2601.16199 |
| arXiv | 2601.16199 |
| Version | arXiv v3 (2026-04-30) read on 2026-09-25 and 2026-10-13; still the latest version and a preprint, with code "to be released after peer review". |
| Accessed | 2026-10-20 |
| Imported from | hodgkins-ai-verification-papers@c71e59ff0e8e |
| Note | Listed under "Trusted execution and attestation" in the Hodgkins bibliography (CC BY 4.0). |
Cited by
- Hardware-attested weight bindingMechanism
- Safeguard attestationMechanism
- TEE remote attestation for AI workloadsMechanism
- PAL*MImplementation
- The declared evaluation was runClaim
- The declared model is the one being servedClaim
- Evidence bindingConcept
- Trusted execution environment (TEE)Concept
- University of WaterlooOrganization