3 papers
cs.CR2026
Characterizing Statistical Separability in TP-CRIV for Probabilistic AI Models
Teruki Sano, Minoru Kuribayashi, Masao Sakai +4
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…
cs.CR2026
TP-CRIV: A Framework for Third-Party Challenge-Response Identity Verification of AI Models
Teruki Sano, Minoru Kuribayashi, Masao Sakai +4
Artificial intelligence (AI) models are increasingly deployed through remote services, making model misappropriation a growing concern. Existing approaches, including watermarking,…
cs.LG2025
Ownership Verification of DNN Models Using White-Box Adversarial Attacks with Specified Probability Manipulation
Teruki Sano, Minoru Kuribayashi, Masao Sakai +2
In this paper, we propose a novel framework for ownership verification of deep neural network (DNN) models for image classification tasks. It allows verification of model identity…