victor-dang Goto Github PK
Type: User
Bio: PhD Candidate at the institute of information security, Yokohama, Japan
Location: Yokohama, Kanagawa, Japan
Type: User
Bio: PhD Candidate at the institute of information security, Yokohama, Japan
Location: Yokohama, Kanagawa, Japan
The classical paper list with code about generative adversarial nets
A curated list of awesome adversarial machine learning resources
A curated list of fuzzing resources ( Books, courses - free and paid, videos, tools, tutorials and vulnerable applications to practice on ) for learning Fuzzing and initial phases of Exploit Development like root cause analysis.
:octocat: Machine Learning for Cyber Security
Basic Machine Learning for Everyone
Firmware Analysis Tool
Payload for teensy like a rubber ducky but the syntax is different. this Human interfaes device ( HID attacks ). Penetration With Teensy . Brutal is a toolkit to quickly create various payload,powershell attack , virus attack and launch listener for a Human Interface Device ( Payload Teensy )
Source Code for the book Building Machine Learning Systems with Python
Built and trained a deep neural network to classify traffic signs using Tensorflow
An adversarial example library for constructing attacks, building defenses, and benchmarking both
A complete computer science study plan to become a software engineer.
Python libraries for Google Colaboratory
:mortar_board: Path to a free self-taught education in Computer Science!
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Python toolbox to create adversarial examples that fool neural networks
Genode OS Framework
An Implementation of homomorphic encryption
JTAGulator: Assisted discovery of on-chip debug interfaces
Deep Reinforcement Learning for Keras.
A complete daily plan for studying to become a machine learning engineer.
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Code for Membership Inference Attack against Machine Learning Models (in S&P 2017)
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 is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
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.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.