GitHub

Transfer-Learning-Based-Modular-Defense-Against-Natural-Adversarial-Examples

Our work introduces a novel defense approach against NAEs in the ImageNet dataset by leveraging a transfer learning-based defense module inserted before the final classification layer. Our method ...
GitHub

Cross-modal autoencoder (CMA) with clustering module

Generate a conda enviroment to run the model. conda create --name cma python=3.11 -c conda-forge conda activate cma pip install Jupyterlab matplotlib numpy pandas seaborn scikit-learn torch umap-learn ...
IEEE

WGAN-based Autoencoder Training Over-the-air

"IEEE.tv is an excellent step by IEEE. This will pave a new way in knowledge-sharing and spreading ideas across the globe." ...
IEEE

MMEVAE: A Time-Varying Rolling Bearing Data Enhancement Method Based on a Multimodal Mechanism Enhanced Variational Autoencoder and Self-Attention Module

Abstract: Variational autoencoder (VAE) is widely used as a data enhancement technique. However, it faces challenges with inaccurate potential spatial distribution and poor reconstruction quality when ...
Europe PMC

DBN-BAAE: Enhanced Lightweight Anomaly Detection Mechanism with Boosting Adversarial Autoencoder.

The growing digitalization of Industrial Control Systems (ICSs) presents both significant benefits and security challenges, especially for small and medium-sized factories with limited resources.