liangxun Goto Github PK

aidroid

Reimplementation of AiDroid

android

Android APP Analysis

attentionwalk

A PyTorch Implementation of "Watch Your Step: Learning Node Embeddings via Graph Attention" (NeurIPS 2018).

avpass

Tool for leaking and bypassing Android malware detection system

datamining

北邮《数据挖掘》课程项目

deepwalk

DeepWalk - Deep Learning for Graphs

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

flowscope

Implementation code of algorithm described in FlowScope: Spotting Money Laundering Based on Graphs. and thanks for the contribution of the coworkers , i.e. , Shenghua Liu and ZiFeng Li.

gmnn

graduationproject

本科毕业设计-基于深度学习的时间序列预测的研究与实现

graph_adversarial_attack

Adversarial Attack on Graph Structured Data (https://arxiv.org/abs/1806.02371)

graph_transformer_networks

Graph Transformer Networks (Authors' PyTorch implementation for the NeurIPS 19 paper)

graphdroid

Implementation of paper "GraphDroid: More Robust Android Malware Detection against Adversarial Attacks" (submitting).

graphevolvedroid

演化场景下的android恶意apk检测

han

Network Embedding

herec

Source code for TKDE 2018 "Heterogeneous information network embedding for recommendation"

hgemd_publish

Implementation of paper "Robust Android Malware Detection based on Attributed Heterogeneous Graph Embedding"

liangxun.github.io

Blog

literadar

Lite version of LibRadar

peernets-pytorch

A pytorch implementation of 'PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks'

planetoid

Semi-supervised learning with graph embeddings

pytorch-sunspot

secp

软件工程课程项目 Software Engineering Course Project

softwaresecurity

软件安全课程项目

target_mlp

简单的恶意软件检测模型，作为被攻击对象