sunshine352 Goto Github PK
Name: Zhaomang Sun
Type: User
Name: Zhaomang Sun
Type: User
Repo for counting stars and contributing. Press F to pay respect to glorious developers.
LaTeX source for the paper "On Evaluating Adversarial Robustness"
Advbox是支持多种深度学习平台的AI模型安全工具箱,既支持白盒和黑盒算法生成对抗样本,衡量AI模型鲁棒性,也支持常见的防御算法 ( Advbox is a toolbox 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.)
Black-Box Adversarial Attack on Public Face Recognition Systems
Implementation of adversarial attacks and defences.
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. https://developer.ibm.com/code/open/projects/adversarial-robustness-toolbox/
Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge
A simple implement of an Adversarial Autoencoding ATN(AAE ATN)
NIPS Adversarial Vision Challenge
Countering Adversarial Image using Input Transformations.
Paper Collection of Adversarial Machine Learning
Investigating the robustness of state-of-the-art CNN architectures to simple spatial transformations.
VizSec17: Web-based visualization tool for adversarial machine learning / LiveDemo
The classical paper list with code about generative adversarial nets
A Toolbox for Adversarial Robustness Research
*From Adversarial Training to Generative Adversarial Networks*
an Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
Code and weights for local feature affine shape estimation paper "Learning Discriminative Affine Regions via Discriminability"
2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记
Multi-Person Pose Estimation System
Attacks Meet Interpretability
AttGAN PyTorch Arbitrary Facial Attribute Editing: Only Change What You Want
AttGAN Tensorflow, AttGAN: Facial Attribute Editing by Only Changing What You Want
Accessible AutoML for deep learning.
Codes for reproducing query-efficient black-box attacks in “AutoZOOM: Autoencoder-based Zeroth Order Optimization Method for Attacking Black-box Neural Networks” , published at AAAI 2019
A curated list of awesome resources for adversarial examples in deep learning
A curated list of awesome adversarial machine learning resources
A curated list of awesome Deep Learning tutorials, projects and communities.
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.