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JadePuffer: The First Complete LLM-Driven Ransomware Attack

An "agentic threat actor" successfully exploited a Langflow flaw to steal data from a production database server and encrypt ...
Frontiers

Emotion estimation from video footage with LSTM

Emotion estimation is a field that has been studied for a long time, and several approaches using machine learning models exist. This article presents BlendFER-Lite, an LSTM model that uses ...
GitHub

"Enhancing PM2.5 Prediction Using NARX-Based Combined CNN and LSTM Hybrid Model"

Please cite the paper if you use the code. If you have any questions, please post them in the Discussions Section. The code requires Python 3.11. TensorFlow currently ...
Frontiers

Deep learning assessment of left ventricular hypertrophy based on electrocardiogram

Current electrocardiogram (ECG) criteria of left ventricular hypertrophy (LVH) have low sensitivity. Deep learning (DL) techniques have been widely used to detect cardiac diseases due to its ability ...
GitHub

Code for Deep Learning for Land Cover Change Detection

Example models are in src/models/, the data generators used for training are in src/helpers/image_functions.py. To get the accuracy scores and the confusion matrix of ...
Analytics India Magazine

Introduction to LSTM Autoencoder Using Keras

An LSTM autoencoder combines encoder-decoder architecture to compress and reconstruct data effectively. Long Short Term Memory networks excel in learning dependencies in sequential data. The article ...