我的个人博客:https://kefirlily.com/,欢迎访问。
本博客外观基于 mzlogin 修改,感谢!
Name: 贺超
Type: User
Bio: PhD of Cyberspace Security at Xidian University
Location: Xi'an
Blog: https://kefirlily.com
我的个人博客:https://kefirlily.com/,欢迎访问。
本博客外观基于 mzlogin 修改,感谢!
This approach of Intrusion Detection uses two GPT models, which are trained on normal network traffic, to predict sequences of communication patterns and thereby score network packets.
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
DT-MEC-A3C
Implementation of double-auction and multilateral-auction protocols
大麦网抢票脚本
Python implementations of Basic Signaling Games proposed by David Lewis
Deep Learning 101 with PaddlePaddle (『飞桨』深度学习框架入门教程)
Multi-Agent Deep Reinforcement Learning for Task Offloading in UAV-Assisted Mobile Edge Computing
:mahjong: Chinese Copywriting Guidelines:中文文案排版指北(简体中文版)
source code of the paper "Computation offloading in UAV-enabled Edge Computing: A Stackelberg Game Approach" published in SENSORS
Improving the security of the community by optimizing honeypot ports: A coordinated deception Game Theory
Cowrie SSH/Telnet Honeypot https://cowrie.readthedocs.io
CryptoNets is a demonstration of the use of Neural-Networks over data encrypted with Homomorphic Encryption. Homomorphic Encryptions allow performing operations such as addition and multiplication over data while it is encrypted. Therefore, it allows keeping data private while outsourcing computation (see here and here for more about Homomorphic Encryptions and its applications). This project demonstrates the use of Homomorphic Encryption for outsourcing neural-network predictions. The scenario in mind is a provider that would like to provide Prediction as a Service (PaaS) but the data for which predictions are needed may be private. This may be the case in fields such as health or finance. By using CryptoNets, the user of the service can encrypt their data using Homomorphic Encryption and send only the encrypted message to the service provider. Since Homomorphic Encryptions allow the provider to operate on the data while it is encrypted, the provider can make predictions using a pre-trained Neural-Network while the data remains encrypted throughout the process and finaly send the prediction to the user who can decrypt the results. During the process the service provider does not learn anything about the data that was used, the prediction that was made or any intermediate result since everything is encrypted throughout the process. This project uses the Simple Encrypted Arithmetic Library SEAL version 3.2.1 implementation of Homomorphic Encryption developed in Microsoft Research.
A curated set of resources for data science, machine learning, artificial intelligence (AI), data and text analytics, data visualization, big data, and more.
Deep Learning Specialization by Andrew Ng on Coursera.
🇦🇮 Deep Learning AI course on Coursera (Andrew Ng)
Using multi-agent Deep Q Learning with LSTM cells (DRQN) to train multiple users in cognitive radio to learn to share scarce resource (channels) equally without communication
PyTorch implementation of DQN, AC, ACER, A2C, A3C, PG, DDPG, TRPO, PPO, SAC, TD3 and ....
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为15个章节,近20万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Simulate collaborative ML scenarios, experiment multi-partner learning approaches and measure respective contributions of different datasets to model performance.
Deep Meta Q-Learning based Task Offloading
Implementation and simulation of double auction mechanisms
Reproduce results of the research article "Deep Reinforcement Learning Based Resource Allocation for V2V Communications"
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.