mariamamb Goto Github PK

adv-dnn-ens-malware

adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

adversarial-attack-on-ids

source code for the paper 'Generative Adversarial Attacks Against Intrusion Detection Systems Using Active Learning'

adversarial-example-attack-and-defense

This repository contains the implementation of three adversarial example attack methods FGSM, IFGSM, MI-FGSM and one Distillation as defense against all attacks using MNIST dataset.

adversarial-examples-reading-list

This is the reading list mainly on adversarial examples (attacks, defenses, etc.) I try to keep and update regularly.

adversarial-machine-learning-tutorial

adversarial machine learning tutorials

adversarial-robustness-toolbox

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

adversarialnetspapers

Awesome paper list with code about generative adversarial nets

awesome-datascience

:memo: An awesome Data Science repository to learn and apply for real world problems.

cadex

Constrained Adversarial Explanations

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

cybersecurity_evasion

data-scientist-roadmap

Toturial coming with "data science roadmap" graphe.

decision_boundary_demo

Matplotlib visualisation of decision boundaries for neural networks

edward

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

gan-implementations-from-scratch-with-pytorch-and-tensorflow

Generative Adversarial Network (GAN) Implementations from Scratch with PyTorch and TensorFlow

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

graph-adversarial-learning

A curated collection of adversarial attack and defense on graph data.

graph-adversarial-learning-literature

A curated list of adversarial attacks and defenses papers on graph-structured data.

lucid-ddos

A Practical, Lightweight Deep Learning Solution for DDoS Attack Detection

machine-learning-engineering-for-production-public

Public repo for DeepLearning.AI MLEP Specialization

machine-learning-note

our-papers

repo

Enhancing Robustness Against Adversarial Examples in Network Intrusion Detection Systems

tensorflow-without-a-phd

A crash course in six episodes for software developers who want to become machine learning practitioners.

understanding_adversarial_examples

A jupyter notebook containing a walkthrough of how gradient based adversarial attacks work in 2 dimensions - Including both a white-box and black-box attack.