bngabonziza Goto Github PK
Name: Bernard Ngabonziza
Type: User
Company: Arizona State University
Location: Tempe,AZ
Name: Bernard Ngabonziza
Type: User
Company: Arizona State University
Location: Tempe,AZ
LaTeX source for the paper "On Evaluating Adversarial Robustness"
Code for Deep learning models for electrocardiograms are susceptible to adversarial attack
Keras implementation of AdvGAN by Xiao et al. (2018) https://arxiv.org/abs/1801.02610
PyTorch implementation of adversarial attacks.
Tensorflow implementation of Generating Adversarial Examples with Adversarial Networks
a Pytorch implementation of the paper "Generating Adversarial Examples with Adversarial Networks" (advGAN).
Attack-Inspired GAN - unofficial pytorch implementation
A beautiful, simple, clean, and responsive Jekyll theme for academics
A curated list of awesome audio adversarial examples papers(with code & demo if available).
Targeted Adversarial Examples on Speech-to-Text systems
Examples of autograders for running on Gradescope
Code to reproduce and break the "Efficient Defenses" paper
Repo: IEEE TNSRE Article "Modeling EEG data distribution with a Wasserstein Generative Adversarial Network (WGAN) to predict RSVP Events" - Keras implementation
Codes for reproducing the robustness evaluation scores in “Evaluating the Robustness of Neural Networks: An Extreme Value Theory Approach,” ICLR 2018
This project is convert own data to MNIST format. It may help you to quickly test new DL model without modify too much code.
Double Discriminator GAN
Devil-Whisper-Attack
This is a toolbox to construct adversarial examples of EEG signals. The traditional EEG extraction methods and classifiers are re-implemented in Tensorflow.
[ICLR 2020] A repository for extremely fast adversarial training using FGSM
Attacks Which Do Not Kill Training Make Adversarial Learning Stronger (ICML2020 Paper)
Hackerrank solutions for algorithms, data structures, functional programming and mathematics
A C++ repository for Competitive Programmer's Handbook by Antti Laaksonen
Adversarial Attacks on Deep Neural Networks for Time Series Classification
This repository contains implementation of some techniques like SMOTE, ADASYN, SMOTE + Tomek Links, SMOTE + ENN to overcome class imbalance in a binary classification problem.
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.