ZihanLiu95 / UAP_EEG
This project is the codes to generate universal adversarial perturbations for EEG-based BCIs.
☆9Updated 4 years ago
Related projects: ⓘ
- A collection of trends about transfer learning☆17Updated 3 years ago
- A Benchmark to Study Negative Transfer https://ieeexplore.ieee.org/document/9938381☆15Updated last year
- This project attacked widely-used EEG spellers, e.g., P300 spellers and SSVEP spellers, with adversarial perturbation templates. We cons…☆13Updated 4 years ago
- Custom Domain Adaptation: a new method for cross-subject, EEG-based cognitive load recognition☆13Updated 3 years ago
- Manifold Embedded Knowledge Transfer for Brain-Computer Interfaces (MEKT)☆43Updated 3 years ago
- ☆10Updated 3 years ago
- Pytorch implementation of "Mutual Information-driven Subject-invariant and Class-relevant Deep Representation Learning in BCI"☆21Updated 2 years ago
- Four commonly used operations on the symmetric positive definite manifold☆24Updated 2 years ago
- This repository is the official implementation of “Different Set Domain Adaptation for Brain Computer Interfaces: A Label Alignment Appro…☆21Updated 2 years ago
- Invariant representation learning from EEG within discriminative CNN architectures via adversarial censoring.☆14Updated 4 years ago
- Official implementation of the paper "GANSER: A Self-supervised Data Augmentation Framework for EEG-based Emotion Recognition"☆59Updated 2 years ago
- Code of paper MS-MDA: Multisource Marginal Distribution Adaptation for Cross-subject and Cross-session EEG Emotion Recognition☆82Updated 6 months ago
- Semi-supervised Multi-view Variational Autoencoder (semiMVAE)☆9Updated 4 years ago
- ☆26Updated 6 years ago
- Differential entropy features of EEG dataset☆13Updated last year
- ☆10Updated 5 years ago
- Perform EEG Channel selection with Gumbel-softmax☆12Updated 3 years ago
- Multiple Source Domain Adaptation with Adversarial Learning☆20Updated 4 years ago
- Efficient Transfer Learning with Meta Update for Cross Subject EEG Classification☆39Updated last year
- ☆32Updated this week
- Multisource Transfer Learning for Cross- Subject EEG Emotion Recognition☆36Updated 4 years ago
- ☆15Updated 5 years ago
- Existing work in the field of BCI treats deep learning models as black-box classifiers. In this project, we develop a novel model named "…☆17Updated 2 years ago
- This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-impleme…☆17Updated 5 years ago
- Code for processing EEG data with Riemannian and deep learning-based classifiers. Additionally provides methods for data augmentation inc…☆26Updated 4 years ago
- EEG physics models and adversarily trained RNNs for improved signal processing, data augmentation, and manifold generation.☆14Updated 4 years ago
- [IEEE TETCI] "ADAST: Attentive Cross-domain EEG-based Sleep Staging Framework with Iterative Self-Training"☆34Updated last year
- for the paper "V-3DCNN, emotion recognition based on EEG"☆12Updated 2 years ago
- Support paper for Cross-Subject EEG Emotion Classification based on Few-Label Adversarial Domain Adaption☆22Updated 3 years ago
- 1D-convolutional LSTM based User Identification using EEG biometrics☆13Updated 4 years ago