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cs.CR2026
Workload Identification with Physical Side Channels for AI Governance
Simone Gargiulo, Gabriel Kulp
AI compute verification is one of the first tangible and tractable points for international policy aimed at AI governance. Determining whether frontier labs, or any operator, compl…
cs.CR2026
Privacy-Preserving AI Verification via Minimal Information Disclosure
Sleem Abdelghafar, Gabriel Kulp
AI verification crosses a trust boundary: a verifier must learn enough to establish an authorized claim, yet the same evidence can reveal sensitive details about the model, workloa…
cs.CL2026
Expert Selections In MoE Models Reveal (Almost) As Much As Text
Amir Nuriyev, Gabriel Kulp
We present a text-reconstruction attack on mixture-of-experts (MoE) language models that recovers tokens from expert selections alone. In MoE models, each token is routed to a subs…