cyntrisec/confidential-ml-transport
Attestation-bound encrypted tensor transport for confidential ML inference over VSock/TCP. Binary framing, X25519+ChaCha20Poly1305 AEAD, 3-message attested handshake.
This is a specialized software component for developers who are building applications that use machine learning (ML) models in a secure, confidential environment, often referred to as a Trusted Execution Environment (TEE). It allows these applications to send and receive ML data, like tensors, across a network securely. The data is encrypted and authenticated, ensuring that only verified, legitimate ML services can process it.
Use this if you are a developer building a confidential ML inference service where securing the data in transit between a client and a TEE-based ML model is paramount, protecting sensitive intellectual property or private user data.
Not ideal if you need a general-purpose networking library for non-confidential data or if your ML workflow does not involve Trusted Execution Environments.
Stars
9
Forks
—
Language
Rust
License
Apache-2.0
Category
Last pushed
Mar 09, 2026
Monthly downloads
514
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/cyntrisec/confidential-ml-transport"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ICME-Lab/jolt-atlas
Fast zkVM born at a16z Crypto substantially adapted by ICME Labs (NovaNet) for verifiable...
socathie/circomlib-ml
Circom Circuits Library for Machine Learning
mithril-security/blindai
Confidential AI deployment with secure enclaves :lock:
gizatechxyz/LuminAIR
A zkML framework for ensuring the integrity of computational graphs using Circle STARK proofs
SpeyTech/certifiable-inference
Deterministic, bit-perfect AI inference for safety-critical systems