Name: Shu Wang
Type: User
Company: Mason
Bio: Security & AI Researcher
Blog: shuwang.phd
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adaboost-decisionstump
Implementation of Adaboost with decision stump classifiers.
adaboost-perceptron
Implementation of Adaboost with Perceptron Classifiers.
algorithms_for_machinelearning
Open Source Code for Machine Learning in Computer Vision
binrnn
Provenance Analysis of Binary Code with RNN model.
bluerabbit
Data Analysis for Human Trafficking
fingerinference
Inference from Fingerprint Images
frcnn_sod
Faster R-CNN for Salient Object Detection.
future_net
2016 Code Craft Challenge
hmacsha1
A Implementation of HMAC Encryption by using SHA-1 Hash Function
k-nearest-neighbor
K Nearest Neighbor and Condensed KNN Algorithm
kitsunev1
Mobile Phone Detection with Modulated Replay Attack
linear-methods
Perceptron Learning Algorithm and Linear Regression
mlclassifiers
Basic Machine Learning Classifiers with scikit-learn.
modreplay
The source code in the paper "When the Differences in Frequency Domain are Compensated: Understanding and Defeating Modulated Replay Attacks on Automatic Speech Recognition". This paper is published in the ACM Conference on Computer and Communications Security (CCS) 2020.
nlp-baseline
Naive Bayes and Logistic Regression with Natural Language Processing
nlp-disaster-tweets
Real or Not? NLP with Disaster Tweets.
nlp-ffnn
Feed Forward Neural Network for Sentiment Classification and Language Modeling
nlp-rnn
Recurrent Neural Network for Natural Language Processing
nlp-role-labeler
Semantic Role Labeler in Natural Language Processing
paimon
Paimon: Patch Identification Monster (extended version of GraphSPD)
patchclearance
Data clearance for security patches and non-security patches. This method is described as Nearest Link Search in the paper "PatchDB: A Large-Scale Security Patch Dataset", which appears in 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2021), Taipei, June 21-24, 2021, pp. 149-160.
patchgnn-demo
A Demo Program of Security Patch Identification with Graph Neural Networks.
patchml
Security Patch Identification with Classical Machine Learning Algorithms.
patchoversampling
Oversampling operations on security/non-security patches. This method is described in the paper "PatchDB: A Large-Scale Security Patch Dataset", which appears in 2021 51st Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN 2021), Taipei, June 21-24, 2021, pp. 149-160.
patchoversamplingv2
Patch oversampling (synthesis) with direct patch analysis. This is an alternative solution to the PatchOversampling repository, providing a simpler and more direct way to synthesize patches. The original oversampling method is described in the DSN'21 paper "PatchDB: A Large-Scale Security Patch Dataset".
patchrnn
The source code in the paper "PatchRNN: A Deep Learning-Based System for Security Patch Identification". This paper appears in the 2021 IEEE/AFCEA Military Communications Conference (MILCOM 2021), San Diego, USA, November 29–December 2, 2021.
patchrnn-demo
A demo program of security patch identification using the RNN model, which is demonstrated in the paper "PatchRNN: A Deep Learning-Based System for Security Patch Identification". This paper appears in the 2021 IEEE/AFCEA Military Communications Conference (MILCOM 2021), San Diego, USA, November 29–December 2, 2021.
patchrnnextra
RNN-based security patch identification with oversampling samples. This is an extension code in the MILCOM'21 paper "PatchRNN: A Deep Learning-Based System for Security Patch Identification".
python-logistic
Logistic Regression Implementation using Python
sieve
The source code in the paper "Secure In-Vehicle Automatic Speech Recognition Systems". This paper is published in the 23rd International Symposium on Research in Attacks, Intrusions and Defenses (RAID) 2020.
React
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
Typescript
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
Django
The Web framework for perfectionists with deadlines.
Laravel
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
Facebook
We are working to build community through open source technology. NB: members must have two-factor auth.
Microsoft
Open source projects and samples from Microsoft.
Google
Google ❤️ Open Source for everyone.
Alibaba
Alibaba Open Source for everyone
D3
Data-Driven Documents codes.
Tencent
China tencent open source team.
