Author

Fatemeh Ganji

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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

#edge computing Preprint Aug 2026

LLMscope: Extracting LLM Assets from Edge AI Chips via Optical Probing

This work shows that one can extract LLM assets during inference, namely embeddings, attention, and quantized MLP weights, activations, and other inference states, from localized memories and compute subcircuits from localized memories and compute subcircuits by deploying laser voltage imaging.

Dev M. Mehta, Lily Dukette, William Folan et al. · 0 citations