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😎 Awesome lists about all kinds of interesting topics
🎨 Diagram as Code for prototyping cloud system architectures
Membership Inference, Attribute Inference and Model Inversion attacks implemented using PyTorch.
Privacy Meter: An open-source library to audit data privacy in statistical and machine learning algorithms.
An awesome list of papers on privacy attacks against machine learning
Awesome PrivEx: Privacy-Preserving Explainable AI (PPXAI)
cloc counts blank lines, comment lines, and physical lines of source code in many programming languages.
[NeurIPS 2020] MCUNet: Tiny Deep Learning on IoT Devices; [NeurIPS 2021] MCUNetV2: Memory-Efficient Patch-based Inference for Tiny Deep Learning; [NeurIPS 2022] MCUNetV3: On-Device Training Under 2…
The Confidential Computing Certifier Framework consists of a client API called the Certifier-API and server-based policy evaluation called the Certifier Service. It simplifies and unifies programmi…
Container with all dependencies required for running rust-vmm crates integration tests.
Collection of resources about Virtualization
Experimental version of QEMU with basic support for ARM TrustZone (security extensions)
StableLM: Stability AI Language Models
Privacy-preserving Federated Learning with Trusted Execution Environments
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs o…
resources about federated learning and privacy in machine learning
FedML - The Research and Production Integrated Federated Learning Library: https://fedml.ai