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Name: Ruoxin Chen
Type: User
Name: Ruoxin Chen
Type: User
A paper list for localized adversarial patch research
ADTA: Adaptive Distance Training Algorithm for Randomized Smoothed Classifiers
A curated list of backdoor learning resources
Official implementation of paper Evaluating Robustness of Subagging Algorithms against Data Poisoning and Its Applications to Federated Learning
A challenge to explore adversarial robustness of neural networks on CIFAR10.
Using Grad-cam activations to visualise CNN models on Pytorch
Official implementation for: On Collective Robustness of Bagging Against Data Poisoning (ICML 2022).
A Comprehensive Assessment of Trustworthiness in GPT Models
和笔记本同步
Wrappers and implementations of several domain adaptation / transfer learning / semi-supervised learning algorithms
APPLYING THE USE OF FEDERATED LEARNING TO IMPROVE LOANING SYSTEMS
Standard implementations of FedLab and its provided benchmarks.
Code for finetuning AlexNet in TensorFlow >= 1.2rc0
some demo of GANs
A curated collection of adversarial attack and defense on graph data.
Project on HeyWhale
Demo for project
The official implementation of AAAI22 paper: Input-Specific Robustness Certification for Randomized Smoothing
An implementation of Grad-CAM with keras
Implementation of (2014) Explaining and Harnessing Adversarial Examples.
MACER: MAximizing CErtified Radius
Metric learning algorithms in Python
chenruoxin-018033910025
A challenge to explore adversarial robustness of neural networks on MNIST.
PyTorch implementation of "Distilling the Knowledge in a Neural Network" for model compression
Use neural network distillation to improve MNIST and Cifar10 accuracies
Asynchronous Federated Learning
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
整理 pytorch 单机多 GPU 训练方法与原理
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.