Verifiable Fine-Tuning for LLMs: Zero-Knowledge Training Proofs Bound to Data Provenance and Policy

Hasan Akgul, Daniel Borg, Arta Berisha +3

Large language models are often adapted through parameter efficient fine tuning, but current release practices provide weak assurances about what data were used and how updates wer…