Research prototype for real Mamba-2-130M inference under CKKS/FHE (OpenFHE/FIDESlib-GPU): +0.12% PPL surrogate and a verified 24-layer, 3-token encrypted B300 path.
-
Updated
Jul 16, 2026 - Python
Research prototype for real Mamba-2-130M inference under CKKS/FHE (OpenFHE/FIDESlib-GPU): +0.12% PPL surrogate and a verified 24-layer, 3-token encrypted B300 path.
Runnable LightChain AI inference examples (lightnode-sdk)
Product and GTM docs for MPC-secured agent payments and encrypted inference.
Privacy-preserving machine learning with Fully Homomorphic Encryption (FHE): theory plus encrypted-inference demos using Concrete-ML (Iris, sentiment, image filtering). Cryptography coursework (M.Sc. IT, HUTECH).
The open toolkit for LightChain AI: TypeScript SDK for encrypted on-chain inference, self-custodial wallet with built-in AI chat, one-flow worker onboarding, and live network + DAO dashboards.
Browser-based CKKS approximate FHE demo — encrypted floating-point arithmetic, homomorphic neural network inference, rescaling, and the complete FHE trilogy (TFHE + BGV/BFV + CKKS). Part of the crypto-lab suite.
Add a description, image, and links to the encrypted-inference topic page so that developers can more easily learn about it.
To associate your repository with the encrypted-inference topic, visit your repo's landing page and select "manage topics."