Code for Data Poisoning Attacks Against Federated Learning Systems

The official code of KDD22 paper "FLDetecotor: Defending Federated Learning Against Model Poisoning Attacks via Detecting Malicious Clients"

The Unofficial TikTok API Wrapper In Python

An implementation for the paper "A Little Is Enough: Circumventing Defenses For Distributed Learning" (NeurIPS 2019)

Meditron is a suite of open-source medical Large Language Models (LLMs).

An easy-to-use federated learning platform

An Industrial Grade Federated Learning Framework

PyBullet Gymnasium environments for single and multi-agent reinforcement learning of quadcopter control

Maximal Correlation Regression

A simple TensorFlow 2 implementation of ResNet-18

practice on CIFAR10 with Keras

A sybil-resilient distributed learning protocol.

Official implementation of (CVPR 2022 Oral) Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks.

DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)

Fit interpretable models. Explain blackbox machine learning.

Implementation of simple autoencoders networks with Keras

This is the implementation of Semi-supervised Anomaly Detection using AutoEncoders

Anomaly detection using Autoencoder implemented with Keras 2.

Torch implementations of various types of autoencoders

Reproduction of cw attack on pytorch with corresponding MNIST model

Learning representations for RL in Healthcare under a POMDP assumption

Reinforcement learning for medical decisions

A platform to test reinforcement learning policies in the datacenter setting.

Reinforcement learning resources for PCC.

A Type-1 Diabetes simulator implemented in Python for Reinforcement Learning purpose

A Tutorial on Deep Reinforcement Learning in PyTorch

Adversarial attacks - Time-Series data - LSTM - Regression - Classification