Yunlong Lyu

Stanford图机器学习公开课CS224W（五）笔记

Lecture 5 -Spectral Clustering

Spectral Clustering 这一部分来讲述谱聚类算法的产生缘由。一.Graph Partitioning 首先给出问题：如何做出下图所示的一个分割？最大化组内的连接数最小化组间的连接数下面我们将这种partition表达为组间”edge cut”的目标函数： \[cut(A,B)=\sum_{i\in A,j\in B}w_{ij}\] 如果是加...

Posted by Yunlongs on November 30, 2020

Stanford图机器学习公开课CS224W（四）笔记

Lecture 4 -Community Steructure in Networks

Community Steructure in Networks 一图胜过万言，上节课研究Structural roles，这节课研究Communities。一. Granovetter 定理这个定理其实就是他定义的结论。 Granovetter对于一条边分别在社会和结构上之间的功能做了分析: 首先从结构特征上来看：在结构上扮演“朋友”的边通常是强社交的；跨不同网络部分的长范...

Posted by Yunlongs on November 29, 2020

Stanford图机器学习公开课CS224W（三）笔记

Lecture 3 -Motifs and Structural Roles in Networks

Motifs and Structural Roles in Networks 一. Subgraphs, Motifs 1.1 Network Motifs 这里将Network Motifs 定义为：网络连接中重复且重要的模式。这些属性可以帮助我们理解这个网络如何工作和预测网络的功能。 1.导出子图：导出子图G’，V’∈V，但对于V’中任一顶点，只要在原图G中有对应边，那么就要出...

Posted by Yunlongs on November 27, 2020

Stanford图机器学习公开课CS224W（二）笔记

Lecture 2 -Properties of Networks & Random Graph Models

Properties of Networks & Random Graph Models 1. 网络的属性：如何来度量一个网络 For 无向图，对于有向图很容易泛化 1.1 度分布(Degree Distribution) Degree distribution $P(k)$: 一个随机选取的节点，其度为k的概率。 $N_k$为度为k的节点个数，$P(k) = N_...

Posted by Yunlongs on November 16, 2020

Stanford图机器学习公开课CS224W（一）笔记

Lecture 1 -Machine Learning with Graphs.

Lecture 1 -Machine Learning with Graphs. 一.图基础知识 1.节点的度(degree) 设节点的度用$k_i$表示。无向图：一条边贡献2个度，故平均度为$ \bar{k}=\langle k\rangle=\frac{1}{N} \sum_{i=1}^{N} k_{i}=\frac{2 E}{N}$ 有向图：度分为入度和出度，因此$\bar{...

Posted by Yunlongs on November 14, 2020

PDiff:Semantic-based Patch Presence Testing for Downstream Kernels

二进制代码相似性检测

PDiff: Semantic-based Patch Presence Testing for Downstream Kernels 作者：Zheyue Jiang,Yuan Zhang,Jun Xu,Qi Wen,Zhenghe Wang,Xiaohan Zhang,Xinyu Xing,Min Yang,Zhemin Yang 单位：复旦大学出处：CCS 2020 论文：pap...

Posted by Yunlongs on November 10, 2020

RTFM! Automatic Assumption Discovery and Verification Derivation from Library Document for API Misuse Detection

自动化程序分析

RTFM! Automatic Assumption Discovery and Verification Derivation from Library Document for API Misuse Detection 作者：Tao Lv, Ruishi Li, Yi Yang, Kai Chen, Xiaojing Liao, XiaoFeng Wang, Peiwei Hu...

Posted by Yunlongs on November 6, 2020

Similarity Metric Method for Binary Basic Blocks of Cross-Instruction Set Architecture

二进制代码相似性检测

Similarity Metric Method for Binary Basic Blocks of Cross-Instruction Set Architecture https://github.com/zhangxiaochuan/MIRROR 期刊/会议： NDSS20 BAR workshop ...

Posted by Yunlongs on July 19, 2020

VulSeeker-Pro:Enhanced Semantic Learning Based Binary Vulnerability Seeker with Emulation

二进制代码相似性检测

VulSeeker-Pro:Enhanced Semantic Learning Based Binary Vulnerability Seeker with Emulation 期刊/会议： ESEC/FSE ’18 发表时间： 2018年11月4 发表机构：...

Posted by Yunlongs on July 13, 2020

Binary Similarity Detection Using Machine Learning

二进制代码相似性检测

Binary Similarity Detection Using Machine Learning 期刊/会议： CCS PLAS’18 session 发表时间： 2018年12月19 发表机构： Cornell Tech & Tel-A...

Posted by Yunlongs on July 12, 2020

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Stanford图机器学习公开课CS224W（五）笔记

Lecture 5 -Spectral Clustering

Stanford图机器学习公开课CS224W（四）笔记

Lecture 4 -Community Steructure in Networks

Stanford图机器学习公开课CS224W（三）笔记

Lecture 3 -Motifs and Structural Roles in Networks

Stanford图机器学习公开课CS224W（二）笔记

Lecture 2 -Properties of Networks & Random Graph Models

Stanford图机器学习公开课CS224W（一）笔记

Lecture 1 -Machine Learning with Graphs.

PDiff:Semantic-based Patch Presence Testing for Downstream Kernels

二进制代码相似性检测

RTFM! Automatic Assumption Discovery and Verification Derivation from Library Document for API Misuse Detection

自动化程序分析

Similarity Metric Method for Binary Basic Blocks of Cross-Instruction Set Architecture

二进制代码相似性检测

VulSeeker-Pro:Enhanced Semantic Learning Based Binary Vulnerability Seeker with Emulation

二进制代码相似性检测

Binary Similarity Detection Using Machine Learning

二进制代码相似性检测

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