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

arXiv:2609.29264 · cs.CR, cs.AI · Submitted 2026-09-24 · Read on arXiv

cs.CR, cs.AI

Submitted: 2026-09-24

Updated: 2026-09-24

Terminology

Verification — 86× in this paper · explained in 2 episodes
Calibration — 51× in this paper · explained in 7 episodes
Verifier — 22× in this paper · explained in 2 episodes
Fingerprinting — 15× in this paper · explained in 2 episodes
Cooperation — 7× in this paper · explained in 2 episodes
Provenance — 7× in this paper · explained in 4 episodes
Consistency — 5× in this paper · explained in 3 episodes
AUC — 4× in this paper · explained in 2 episodes
Aggregation — 4× in this paper · explained in 1 episode
Adversarial Examples — 3× in this paper · explained in 2 episodes
Adversarial Attacks — 2× in this paper · explained in 1 episode
Artificial Intelligence (AI) — 2× in this paper · explained in 2 episodes
Conference on Computer Vision and Pattern Recognition — 2× in this paper
Diffusion Model — 2× in this paper · explained in 8 episodes
Diffusion Models — 2× in this paper · explained in 6 episodes
Accuracy — 1× in this paper · explained in 1 episode
Adam — 1× in this paper · explained in 2 episodes
Generative Model — 1× in this paper · explained in 2 episodes
International Conference on Learning Representations — 1× in this paper
Latent Diffusion Model — 1× in this paper · explained in 2 episodes
Latent Diffusion Models — 1× in this paper · explained in 2 episodes
Quantization — 1× in this paper · explained in 12 episodes
Robustness — 1× in this paper · explained in 5 episodes

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