WHET applies fine-grained coefficient-to-slot transforms, plaintext compression, and modulus raising plus lightweight hardware tweaks to FHE accelerators, delivering 1.38-8.74x per-area gains and sub-millisecond CKKS bootstrapping.
3765067 Hernandez, M., Osorio-Marulanda, P
4 Pith papers cite this work. Polarity classification is still indexing.
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UNVERDICTED 4representative citing papers
OpenPCC presents an open confidential cloud inference service for LLMs using commodity TEEs, with an open-source prototype evaluated on Llama-3 8B vLLM showing feasibility and security.
Traffic-CBM organizes multimodal encrypted traffic evidence into an explicit hierarchical concept space for structurally interpretable classification.
The study compares seven synthetic data generators on four health datasets and proposes a visualization-aligned method to assess fidelity of joint distributions while noting medical domain adherence challenges.
citing papers explorer
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WHET: Welding Homomorphic Encryption to Accelerator Architectures
WHET applies fine-grained coefficient-to-slot transforms, plaintext compression, and modulus raising plus lightweight hardware tweaks to FHE accelerators, delivering 1.38-8.74x per-area gains and sub-millisecond CKKS bootstrapping.
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OpenPCC: Open and Confidential LLM Serving on Commodity TEEs
OpenPCC presents an open confidential cloud inference service for LLMs using commodity TEEs, with an open-source prototype evaluated on Llama-3 8B vLLM showing feasibility and security.