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Name: Long Dang
Type: User
Bio: Computer Science Student @ USF Tampa
Name: Long Dang
Type: User
Bio: Computer Science Student @ USF Tampa
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference
Different Adversarial attack methods implemented in PyTorch on CIFAR-10 Dataset
A Toolbox for Adversarial Robustness Research
a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
Coursera - Introduction to Algorithms
Assignments (Python) in Algorithms Courses of Stanford University at Coursera
🧑🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
APBench: A Unified Availability Poisoning Attack and Defenses Benchmark
Repository for Coursera specialization Applied Data Science with Python by University of Michigan
Applied Deep Learning
This is the code for our paper `Robust Federated Learning with Attack-Adaptive Aggregation' accepted by FTL-IJCAI'21.
A curated list of papers on adversarial machine learning (adversarial examples and defense methods).
Code relative to "Reliable evaluation of adversarial robustness with an ensemble of diverse parameter-free attacks"
AutoML for image augmentation. AutoAlbument uses the Faster AutoAugment algorithm to find optimal augmentation policies. Documentation - https://albumentations.ai/docs/autoalbument/
A curated list of awesome resources for adversarial examples in deep learning
The most cited deep learning papers
A curated list of awesome Distributed Deep Learning resources.
federated-learning
:closed_book: :sunglasses: Mostly a collection of research papers categorized into broad topics in federated learning.
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
:octocat: Machine Learning for Cyber Security
Empirical tricks for training robust models (ICLR 2021)
This repository is a collection of famous books that a person who has keen to learn programming, should go through in his career.
Simple implementation of the C&W attack on a pre-trained Keras's InceptionV3 on Imagenet
Randomized Hyperparameter Search in Tensorflow
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.