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Adversarial Examples: Attacks and Defenses for Deep Learning
This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.
Detect an adversarial speech sample
:metal: awesome-semantic-segmentation
For Competition on Adversarial Attacks and Defenses 2018
Simple implementation of Conditional Random Fields (CRF) in Python. A faster, more powerful, Cython implementation is available in the vocrf project https://github.com/timvieira/vocrf
Implementation of NeurIPS 2018 paper: Deep Defense: Training DNNs with Improved Adversarial Robustness
Codes for reproducing the white-box adversarial attacks in “EAD: Elastic-Net Attacks to Deep Neural Networks via Adversarial Examples,” AAAI 2018
The world's simplest facial recognition api for Python and the command line
利用OpenCV、CNN进行人脸识别
Implementation code for the paper "Generating Natural Language Adversarial Examples"
Learned Perceptual Image Patch Similarity (LPIPS) metric. In CVPR, 2018.
Python Library for Probabilistic Graphical Models
Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy
VectorDefense: Vectorization as a Defense to Adversarial Examples --->
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.