الباحثون

Satoru Matsumoto

المنشورات 2

نسخة أولية وصول مفتوح

Characterizing Statistical Separability in TP-CRIV for Probabilistic AI Models

Teruki Sano, Minoru Kuribayashi, Masao Sakai وآخرون · 2026

Third-party challenge-response identity verification (TP-CRIV) enables an independent verifier to assess whether a claimant possesses a model identical to a remotely deployed model without directly accessing the reference model. However, for probabilistic AI models, repeated executions of the same query may produce dif …

نسخة أولية وصول مفتوح

TP-CRIV: A Framework for Third-Party Challenge-Response Identity Verification of AI Models

Teruki Sano, Minoru Kuribayashi, Masao Sakai وآخرون · 2026 · 10.1109/access.2026.3739696

Artificial intelligence (AI) models are increasingly deployed through remote services, making model misappropriation a growing concern. Existing approaches, including watermarking, fingerprinting, and model similarity analysis, primarily rely on predefined evidence or direct behavioral comparison and do not explicitly …

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