Source · Tier A · Peer-reviewedSource · zkLLM: Zero Knowledge Proofs for Large Language Models
zkLLM: Zero Knowledge Proofs for Large Language Models
H. Sun, J. Li, H. Zhang. 2024. 2024 ACM SIGSAC Conference on Computer and Communications Security (CCS 2024).
| Original | https://doi.org/10.1145/3658644.3670334 |
|---|---|
| DOI | 10.1145/3658644.3670334 |
| arXiv | 2404.16109 |
| Version | The claim-link citation check on 2026-10-20 used arXiv 2404.16109v1, abstract and section 3.6. The ACM publisher PDF was inaccessible; its text was not compared against that version. |
| Accessed | 2026-10-20 |
| Authored or published by | University of Waterloo |
| Imported from | hodgkins-ai-verification-papers@c71e59ff0e8e |
| Note | Listed under "Zero-knowledge proofs" in the Hodgkins bibliography (CC BY 4.0). |
Cited by
- Zero-knowledge proofs of inferenceMechanism
- Zero-knowledge proofs of training constraintsMechanism
- zkLLMImplementation
- The declared model is the one being servedClaim
- Cryptographic commitmentConcept
- ProverConcept
- Zero-knowledge proofConcept
- University of WaterlooOrganization