YanghaoZYH

HNM-PGD

Code for paper 'Fooling Object Detectors: Adversarial Attacks by Half-Neighbor Masks'

blog_comment

repo for saving blog comment

GUAP

Code for paper 'Generalizing Universal Adversarial Attacks Beyond Additive Perturbations' (ICDM2020)

DeepConcolic

Concolic Testing for Deep Neural Networks

Fake_ChineseCharacter

Systhesize some fake Chinese characters .

fast_adversarial

[ICLR 2020] A repository for extremely fast adversarial training using FGSM

GaAN

GAT

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

Generative_Adversarial_Perturbations

Generative Adversarial Perturbations (CVPR 2018)

health

healthsystem

GNNPapers

Must-read papers on graph neural networks (GNN)

guap-demo

HealthSystem

Image-generation-using-GANS-using-PyTorch-and-Cifar-10

Image_Classification_with_5_methods

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

java-web

高级网页设计（Java Web）实验库

L0-TRE

Global Robustness Evaluation of Deep Neural Networks with Provable Guarantees for L0 Norm

Learning-Notes

Literature-on-DNN-Verification-and-Testing

LQ-Nets

LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks

mlpractical

Machine Learning Practical course repository

pbnn

reproduce paper of pbnn

pyGAT

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

relationPrediction

ACL 2019: Learning Attention-based Embeddings for Relation Prediction in Knowledge Graphs

relu-opt-public

Code for optimizing MILP problems with embedded ReLU networks

research

My research and papers.

tensorflow

An Open Source Machine Learning Framework for Everyone

TensorFlow-Examples

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

UAN

Universal Adversarial Networks

Universal_Adversarial_Perturbation_pytorch

A PyTorch Implementation of the UAP attack