HaithemLamri

tensorflow

An Open Source Machine Learning Framework for Everyone

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

PySyft

Perform data science on data that remains in someone else's server

flower

Flower: A Friendly Federated Learning Framework

google-ctf

Google CTF

scikit-learn-videos

Jupyter notebooks from the scikit-learn video series

federated

A framework for implementing federated learning

inkwell

It's a New Kind of Wrapper for Exposing LLVM (Safely)

pandas-videos

Jupyter notebook and datasets from the pandas video series

scikit-learn-tips

:robot::zap: 50 scikit-learn tips

opacus

Training PyTorch models with differential privacy

Crypton

Library consisting of explanation and implementation of all the existing attacks on various Encryption Systems, Digital Signatures, Key Exchange, Authentication methods along with example challenges from CTFs

concrete

Concrete: TFHE Compiler that converts python programs into FHE equivalent

concrete-ml

Concrete ML: Privacy Preserving ML framework built on top of Concrete, with bindings to traditional ML frameworks.

tfhe-rs

TFHE-rs: A Pure Rust implementation of the TFHE Scheme for Boolean and Integer Arithmetics Over Encrypted Data.

awesome-machine-unlearning

Awesome Machine Unlearning (A Survey of Machine Unlearning)

elliptic-curves

Collection of pure Rust elliptic curve implementations: NIST P-224, P-256, P-384, P-521, secp256k1, SM2

FedProx

Federated Optimization in Heterogeneous Networks (MLSys '20)

fair_flearn

Fair Resource Allocation in Federated Learning (ICLR '20)

zk-paillier

A collection of Paillier cryptosystem zero knowledge proofs

pasta_curves

Rust implementation for zcash/pasta

Eruditus

Discord CTF helper bot

UmojaHack-Africa-2021-1th-Place

Rank 1/463 Financial Resilience Challenge

CTFs-writeups

Writeups for CTF challenges

IngeHack-CTF-2021

differential-privacy

Fork of the differential privacy module of TF/models/research

HW-PR-NAS

HW-PR-NAS is a single surrogate model trained to Pareto rank the architectures based on Accuracy, Latency and energy consumption

PySyft

A Library for Private, Secure, Multi-Owner Deep Learning - Currently Pre Alpha

cuckoo.team-clone-ui

cukoo.team simple UI clone to demonstrate the use of websockets in my blog post about real time systems