arXiv Artificial Intelligence

Privacy-Preserving AI Verification via Minimal Information Disclosure

1 hour ago 05.08.2026 07:00 👁 1 views
Privacy-Preserving AI Verification via Minimal Information Disclosure

Quick summary

arXiv:2608.02774v1 Announce Type: cross Abstract: AI verification crosses a trust boundary: a verifier must learn enough to establish an authorized claim, yet the same evidence can reveal sensitive details about the model, workload, or hardware. We introduce minimal information disclosure (MID), which designs and quantifies the information content of verifier-facing evidence itself. MID measures collateral leakage with conditional mutual information: what the release reveals about the protected property after the authorized result is known. MID is general by design: it can accommodate differen

Key takeaways

  • arXiv:2608.02774v1 Announce Type: cross Abstract: AI verification crosses a trust boundary: a verifier must learn enough to establish an authorized claim, yet the same evidence can reveal sensitive details about the model, workload, or hardware.
  • We introduce minimal information disclosure (MID), which designs and quantifies the information content of verifier-facing evidence itself.
  • MID measures collateral leakage with conditional mutual information: what the release reveals about the protected property after the authorized result is known.

Why it matters

“Privacy-Preserving AI Verification via Minimal Information Disclosure” may affect what data AI products can use and where accountability sits. Product teams should watch compliance duties, rights holders should watch enforcement, and users should watch transparency and appeal mechanisms.

Kaynak sitede devamını oku: arXiv Artificial Intelligence ↗