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adv-dnn-ens-malware

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

andre

android-classyshark

Android and Java bytecode viewer

android-malware-detection

Android malware detection using static and dynamic analysis

androidapplyzer

Static and Dynamic Android App analyzer

az

Downloads apks from androzoo repository https://androzoo.uni.lu/

coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

deep-android-malware-detection

Code for Deep Android Malware Detection paper

deepintent

Implementation of DeepIntent: Deep Icon-Behavior Learning for Detecting Intention-Behavior Discrepancy in Mobile Apps

distro

Torch installation in a self-contained folder

dl-based-android-malware-defenses-review

Deep Learning for Android Malware Defenses: a SystematicLiterature Review. Android malware detection; Android malware analysis; Deep neural networks; Machine learning

enjarify

explain-mlsec

gogogo

nice work

kdd2021_drdroid

This repository is for reviewers to check the code of KDD2021 Dr.Droid

kronodroid

KronoDroid Dataset

machine-learning-notes

Collection of useful machine learning codes and snippets (originally intended for my personal use)

malscan

MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis

malwaresdetection

maven_linear

trying

metahospital-datacollector-backend

metahospital-datacollector-frontend

mnist_challenge

A challenge to explore adversarial robustness of neural networks on MNIST.

msdroid

A GNN-based Android malware detector in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection".

mysql_test_jdbc

db玩法

new_place

代码上传测试

opensource-startup-miniprogram

SpringBoot实现微信小程序登录前台源码

opensource_startup

SpringBoot实现微信小程序登录的后台源码

pesidious

Malware Mutation Using Reinforcement Learning and Generative Adversarial Networks

robust-adv-malware-detection

Code repository for the paper "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware"