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Shu-Tong Jin

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Open access Sep 2026

High-Throughput GPU Design and Implementation of MAYO with Matrix Computation Reordering

This work presents the first high-throughput GPU implementation and evaluation of MAYO, covering Keygen, Signing, and Verification, and introduces a data reuse-aware computation model for matrix-dominated and memory-access-bound workloads, and proposes Reuse Matrix Multiplication Evaluation (RMME) to reduce redundant g...

Hao-Yang Chen, Jun-Hao Huang, Shu-Tong Jin et al. · 0 citations
Open access Jul 2026

Operator-Blind Secret Mediation for AI Agents: A Formal Model and FHE Construction for Credential Derivation on Untrusted Infrastructure

This work formalizes the model and proves computational operator blindness from indistinguishability under chosen-plaintext attack (IND-CPA) security of the FHE scheme, together with conditional capability binding for any secure pseudorandom function/message authentication code (PRF/MAC) instantiation.

Shu-Tong Jin, Ruiyi Guo, Ray C. C. Cheung · 0 citations

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