A Fast and Safe Python based on PyPy
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Updated
Aug 6, 2023 - Python
A Fast and Safe Python based on PyPy
Final Year Project @hku Department of Computer Science | HGFRR includes a new peer-to-peer network protocol that improves communication efficiency and security among peers, and an implementation of a fast, secure blockchain system on top of this P2P network.
The project delivers a comprehensive full-stack solution for the Intel® Enterprise AI Foundation on the OpenShift platform to provision Intel AI and Xeon accelerators, integrate AI software, and enable key AI workloads, such as LLM inferencing, training and fine-tuning for enterprise AI. RoCE Network provisioning is also inlcuded.
Device plugin for Kubernetes that enables the usage of Intel SGX in pods.
Privacy preserving machine learning demo using TensorFlow, running as an sgx-enclave with Gramine, orchestrated by MarbleRun
SCONE SGX Experiment
SGX-protected Distributed 3D slicing pipline with remote attestation and deletion certificates. Secures IP/STLs through TEE slicing protocol with certificates for blockchain provenance.
Trustworthy data trading with game-theoretic pricing, blockchain settlement, and TEE validation. Official implementation for IEEE IoT Journal submission.
Library for MSE to bootstrap ASGI/WSGI application
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