Paper-Reading

主要是自己看过的一些论文，同时做了对应的思维导图以及论文笔记，以供大家参考学习。

1.GRAPH2SEQ: GRAPH TO SEQUENCE LEARNING WITH ATTENTION-BASED NEURAL NETWORKS

2019-ICLR-Graph2Seq：基于注意力的神经网络进行图形到序列的学习

2.TEXTBUGGER: Generating Adversarial Text Against Real-world Applications

2019-NDSS-TextBugger：针对真实应用生成对抗文本

3.Classifying Malware Represented as Control Flow Graphs using Deep Graph Convolutional Neural Network

2018-DSN-使用深度图卷积神经网络对CFG表示的恶意软件进行识别

4.Adversarial Attacks on Neural Networks for Graph Data

2018-KDD-图形数据在神经网络上的对抗性攻击

5.VulDeePecker- A Deep Learning-Based System for Vulnerability Detection

2018-NDSS-基于深度学习的漏洞检测系统

6.Heterogeneous Graph Attention Network

2019-WWW-异质图注意力网络

7.MAGNN: Metapath Aggregated Graph Neural Network for Heterogeneous Graph Embedding

2020-WWW-异构图嵌入的元路径聚合图神经网络

8.SPAGAN-Shortest Path Graph Attention Network

2019-IJCAL-最短路径图注意力网络

9.Heterogeneous Information Network Embedding with Convolutional Graph Attention Networks

2020-IJCNN-异构信息网络嵌入卷积图注意力网络

10.Devign：Effective Vulnerability Identification by Learning Comprehensive Program Semantics via Graph Neural Networks

2019-NIPS-使用图神经网络学习全面的程序语义来识别有效漏洞

11.Graph Attention Networks

2018-ICLR-图注意力网络

12.HinCTI:A Cyber Threat Intelligence Modeling and Identification System Based on Heterogeneous Information Network

2020-TKDE-HinCTI：基于异构信息网络的威胁情报建模与识别系统

13.MVP: Detecting Vulnerabilities using Patch-Enhanced Vulnerability Signatures

2020-USENIX-使用补丁程序增强的漏洞签名检测漏洞

14.PBCNN: Packet Bytes-based Convolutional Neural Network for Network Intrusion Detection

2021-CN-基于分组字节的卷积神经网络的网络入侵检测

15.图神经网络综述

介绍图神经网络的相关模型以及框架

16.A hybrid code representation learning approach for predicting method names

2021-JFSS-一种预测方法名称的混合代码表示学习方法

17.VDSimilar: Vulnerability detection based on code similarity of vulnerabilities and patches

2021-C&S-VDSimilar：基于漏洞补丁代码相似性的漏洞检测方法

18.Vulnerability Detection with Fine-Grained Interpretations

2021-ESEC/FSE-IVDetect细粒度解释的漏洞挖掘