Nxhoang56

Explainable-Anomaly-Detection-forIndustrial-Control-System-Cybersecurity

AD_FL_DL

Apply Federated Learning and Deep Learning (Deep Auto-encoder) to detect abnormal data for IoT devices.

Anomaly-Detection-with-Swat-Dataset

Develope novel security metric using Deep-Learning to detect anomaly attacks into the critical infrastructure systems. This metric will be tested by Secure Water Treatment (SWaT) Dataset.

Forecasting_Anomaly_Detection_Auto_LSTM

OFDM-Radio-Communication-ET3180

VAE_LSTM_Centralized

FIL_VAE_LSTM_Centralized

AI-Training-Course-VinbigData-

Anomaly-Detection-with-Transformer-Encoder

ATRAF

federated-ml

Detect anomalies in network traffic data using Federated Machine Learning technique.

FedIoT

Federated Learning for Internet of Things: A Federated Learning Framework for On-device Anomaly Data Detection

Linux-Tutorial

Linux Tutorial

ML-DS-Research

Ph-t-hi-n-b-t-th-ng-cho-chu-i-th-i-gian

Anomaly Detection for time series data

SMS-SPAM-Classification

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

SVDD-Python

Python code for abnormal detection or fault detection using Support Vector Data Description (SVDD)

TranAD

[VLDB'22] Anomaly Detection using Transformers, self-conditioning and adversarial training.

tsai

Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

VAE_LSTM_Federated

FIL_VAE_LSTM_Fed

VAE_LSTM_FL