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Mina Shaker

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#artificial intelligence Preprint Aug 2026

Not to Break, but to Attest: Adversarial Probes for Privacy-Preserving LLM Verification

A privacy-preserving zk-SNARK-based audit framework that searches for probes designed in the spirit of adversarial examples to amplify logit drift between an approved model and a modified deployment and demonstrates that token-based probes consistently deliver the strongest mean sensitivity across models and GPU platforms, although operating in a black-box setting.

Cameron Wilding, Mina Shaker, Fatemeh Ganji · 0 citations