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adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference

bastionlab

A simple framework for privacy-friendly data science collaboration

benchmarking-differential-privacy-and-federatedlearning-for-healthcare-data

blocklearning

Blockchain-based federated learning modular framework.

concrete-numpy

Concrete Numpy is a python package that contains the tools data scientists need to compile various numpy functions into their Fully Homomorphic Encryption (FHE) equivalents. Concrete Numpy goes on top of the Concrete Library and its Compiler.

confidential-computing-zoo

Confidential Computing Zoo provides confidential computing solutions based on Intel SGX, TDX, HEXL, etc. technologies.

crypten

A framework for Privacy Preserving Machine Learning

crypten_vfl_demo

vertical federated learning demo with crypten

dp-hyperparamtuning

DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.

easy-deep-learning-with-keras

Keras tutorial for beginners (using TF backend)

elm-pure

Pure implementation of ELM (Extreme Learning Machine) in python (just with numpy)

embedding-encoder

Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.

flowers_fl

graphene

Graphene / Graphene-SGX - a library OS for Linux multi-process applications, with Intel SGX support

hnp-examples

Repository to store hnp usage examples

intrusiondetectionsystem

Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.

keras-multi-gpu

Multi-GPU data-parallel training in Keras

keras-multi-head

A wrapper layer for stacking layers horizontally

keras-self-attention

Attention mechanism for processing sequential data that considers the context for each timestamp.

medium_notebook

Repository containing notebooks of my posts on Medium

nvtrust

Ancillary open source software to support confidential computing on NVIDIA GPUs

opacus

Training PyTorch models with differential privacy

pyseal

Not my code. A simple python SEAL wrapper. This one is easier to just build and use, compared to the dockerized versions available

pyvertical

Privacy Preserving Vertical Federated Learning

ray

A fast and simple framework for building and running distributed applications. Ray is packaged with RLlib, a scalable reinforcement learning library, and Tune, a scalable hyperparameter tuning library.

real-esrgan

Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

sgx-experiments

Trusted execution experiments with Intel SGX

sgx-software-enable

simpac-2022-15

Evaluating Privacy-Preserving Machine Learning in Critical Infrastructures: A Case Study on Time-Series Classification

t81_558_deep_learning

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks