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adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks.

advertorch

A Toolbox for Adversarial Robustness Research

bci_adv_defense

chatgpt_academic

科研工作专用ChatGPT拓展，特别优化学术Paper润色体验，支持自定义快捷按钮，支持markdown表格显示，Tex公式双显示，代码显示功能完善，新增本地Python工程剖析功能/自我剖析功能

cleverhans

An adversarial example library for constructing attacks, building defenses, and benchmarking both

cram

cspostgraduate-408

💯 CSPostgraduate 计算机考研 408 专业课资料及真题资源

deep-learning-for-bci

Resources for Book: Deep Learning for EEG-based Brain-Computer Interface: Representations, Algorithms and Applications

deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

eeg-adversarial-robustness

eeg-atcnet

Attention temporal convolutional network for EEG-based motor imagery classification

eeg-dl

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

eegadversary

This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-implemented in Tensorflow.

generative-perturbation-networks

Official PyTorch Implementaion of Generative Perturbation Network for Signal-Agnostic/Specific Adversarial Attacks on EEG-based Brain-Computer Interfaces

kerasadversary

This project is aimed to provide a simple interface to attack the models built with Keras. It can be very simple to craft adversarial examples with different attacking methods using our API.

p300-cnnt

1D Convolutional Neural Networks for P300 detection from EEG signals

pytorch-handbook

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

student-resources

本文介绍的是利用学生、教职工身份可以享受到的相关学生优惠、教育优惠或教师优惠的权益，但也希望各位享受权利的同时不要忘记自己的义务，不要售卖、转手自己的学生优惠、教育优惠的资格，使得其他同学无法受益。

torcheeg

TorchEEG is a library built on PyTorch for EEG signal analysis.

transferable_perturbations

[NeurIPS2021] Code Release of Learning Transferable Perturbations