ZhangXiao96

CNNZoo4CIFAR

This is a collection of CNNs trained on CIFAR10, e.g. DenseNet, VGG16, ResNet...

Deep-Double-Descent

EEGAdversary

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

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.

LFP-Analyze

This project is mainly about Local Field Potential (LFP).

Lottery-Ticket-Hypothesis-for-DNNs

This repo aims to provide an easy-to-use interface for searching the lottery ticket of a DNN structure.

OptimizationVariance

This repository is the official implementation of "Optimization Variance: Delve into the Epoch-Wise Double Descent of DNNs"

RecommenderSystems4Python

This is a respository which implements several recomender systems in Python.

Speller-Attacks

This project attacked widely-used EEG spellers, e.g., P300 spellers and SSVEP spellers, with adversarial perturbation templates. We constructed these templates to perform target attacks on EEG spellers, demonstrating that the spellers can be manipulated to output anything the attacker wants when added the templates.

ZhangXiao96.github.io

https://zhangxiao96.github.io/

ZhangXiao96/EEGAdversary

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

ZhangXiao96/Speller-Attacks

This project attacked widely-used EEG spellers, e.g., P300 spellers and SSVEP spellers, with adversarial perturbation templates. We constructed these templates to perform target attacks on EEG spellers, demonstrating that the spellers can be manipulated to output anything the attacker wants when added the templates.

ZhangXiao96/Lottery-Ticket-Hypothesis-for-DNNs

This repo aims to provide an easy-to-use interface for searching the lottery ticket of a DNN structure.

ZhangXiao96/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.

ZhangXiao96/LFP-Analyze

This project is mainly about Local Field Potential (LFP).

ZhangXiao96/OptimizationVariance

This repository is the official implementation of "Optimization Variance: Delve into the Epoch-Wise Double Descent of DNNs"

ZhangXiao96/ZhangXiao96.github.io

https://zhangxiao96.github.io/

ZhangXiao96/Deep-Double-Descent

ZhangXiao96/CNNZoo4CIFAR

This is a collection of CNNs trained on CIFAR10, e.g. DenseNet, VGG16, ResNet...

ZhangXiao96/keras

Deep Learning for humans

ZhangXiao96/SymmetricAdversarialExamples

ZhangXiao96/advertorch

A Toolbox for Adversarial Robustness Research

ZhangXiao96/arl-eegmodels

This is the Army Research Laboratory (ARL) EEGModels Project: A Collection of Convolutional Neural Network (CNN) models for EEG signal classification, using Keras and Tensorflow

ZhangXiao96/LeetcodeTop

汇总各大互联网公司容易考察的高频leetcode题🔥

ZhangXiao96/pytorch-cnn-visualizations

Pytorch implementation of convolutional neural network visualization techniques

ZhangXiao96/pytorch_influence_functions

This is a PyTorch reimplementation of Influence Functions from the ICML2017 best paper: Understanding Black-box Predictions via Influence Functions by Pang Wei Koh and Percy Liang.

ZhangXiao96/RecommenderSystems4Python

This is a respository which implements several recomender systems in Python.

ZhangXiao96/RethinkSpectralBias

This repository is the official implementation of "Rethink the Connections among Generalization, Memorization and Spectral Bias" https://arxiv.org/abs/2004.13954.

ZhangXiao96/UAP_EEG

This project is the codes to generate universal adversarial perturbations for EEG-based BCIs.

ZhangXiao96/BiasAndVariance

ZhangXiao96/daxigua

最简单的魔改发布『 合成大西瓜 』，配套改图工具，不用改代码，修改配置即可！

ZhangXiao96/exploring-generalization

An comparative study on the paper Exploring Generalization in Deep Learning https://papers.nips.cc/paper/7176-exploring-generalization-in-deep-learning.pdf

ZhangXiao96/generalization-bounds

Computing various measures and generalization bounds on convolutional and fully connected networks

ZhangXiao96/PyTorch-VAE

A Collection of Variational Autoencoders (VAE) in PyTorch.

ZhangXiao96/WordCount