duoergun0729 Goto Github PK
Type: User
Company: baidu.com
Bio: 《Web安全之机器学习入门》作者
Blog: duoergun0729.github.io
Type: User
Company: baidu.com
Bio: 《Web安全之机器学习入门》作者
Blog: duoergun0729.github.io
《Web安全之机器学习入门》
2018 BlackHat Tools List
《Web安全之深度学习实战》
《Web安全之强化学习与GAN》
《企业安全建设入门:基于开源软件打造企业网络安全》
Pre-trained model, code, and materials from the paper "Impact of Adversarial Examples on Deep Learning Models for Biomedical Image Segmentation" (MICCAI 2019).
LaTeX source for the paper "On Evaluating Adversarial Robustness"
Advbox是基于PaddlePaddle Fluid开发的支持常见深度学习框架的AI模型安全工具箱,用于生成对抗样本,衡量AI模型鲁棒性 ( Advbox is a toolbox based on PaddlePaddle Fluid to generate adversarial examples ,it can benchmark the robustness of machine learning models. It support TensorFlow,Caffe2 and multi-GPU , help more users generate more adversarial examples more faster.)
Code and hyperparameters for the paper "Generative Adversarial Networks"
Code for our CVPR 2018 paper, "On the Robustness of Semantic Segmentation Models to Adversarial Attacks"
Implementation of adversarial attacks and defences.
Black-Box Adversarial Attack on Public Face Recognition Systems
Analysis of Adversarial Logit Pairing
Code for the paper "Adversarial Attacks Against Medical Deep Learning Systems"
Code for AAAI 2018 accepted paper: "Improving the Adversarial Robustness and Interpretability of Deep Neural Networks by Regularizing their Input Gradients"
This is a library dedicated to adversarial machine learning. Its purpose is to allow rapid crafting and analysis of attacks and defense methods for machine learning models. The Adversarial Robustness Toolbox provides an implementation for many state-of-the-art methods for attacking and defending classifiers.
Classification, Object Detection and Adversarial Attack of Chinese Traffic Signs
Unofficial implementation of the paper 'Adversarial Training for Free'
A web platform to generate adversarial example, use TensorFlow, Django, Vue.js
对抗样本
Countering Adversarial Image using Input Transformations.
Attacking Vision based Perception in End-to-end Autonomous Driving Models
an Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
Code for the 'DARTS: Deceiving Autonomous Cars with Toxic Signs' paper
Code for the paper "Adversarial Generator-Encoder Networks"
An implementation of the AlphaZero algorithm for Gomoku (also called Gobang or Five in a Row)
Declarative statistical visualization library for Python
amazingwoo.vip
Adversarial Multiscale Features Learning for Overlapping Chromosome Segmentation
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.