Nada-Bu's repositories
Real-ESRGAN
Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.
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
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)
hnp-examples
Repository to store hnp usage examples
constellation
Constellation is the first Confidential Kubernetes. Constellation shields entire Kubernetes clusters from the (cloud) infrastructure using confidential computing.
embedding-encoder
Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.
graphene
Graphene / Graphene-SGX - a library OS for Linux multi-process applications, with Intel SGX support
IntrusionDetectionSystem
Autoencoder based intrusion detection system trained and tested with the CICIDS2017 data set.
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
PyVertical
Privacy Preserving Vertical Federated Learning
sgx-experiments
Trusted execution experiments with Intel SGX
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
Transformer_classifier_pytorch
A notebook demonstrating use of Transformer's encoder block for classification using Pytorch only!
tvm
Open deep learning compiler stack for cpu, gpu and specialized accelerators