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adv-dnn-ens-malware

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

ai-edu

AI education materials for Chinese students, teachers and IT professionals.

ai-research-code

ai-security-paper

This resource mainly counts papers related to APT attacks, including APT traceability, APT knowledge graph construction, APT malicious sample detection, and APT overview. Hope these summarized papers are helpful to you~

aion

A framework for analysis, stimulation, and detection of Android repackaged malware (under construction)

android-application-dataset-for-malware-detection

Dataset including Android Applications downloaded from Google Play

android-malware

Collection of android malware samples

android-malware-analysis-system

Android Malware Detection based on Deep Learning

android-malware-detection-1

Android Malware Detection Using Machine Learning Classifiers ( Using Permissions requested by Apps)

android-malware-detection-2

Using machine learning to detect Android malware

android-malware-detection-3

android-malware-detection-4

Android Malware Detection using Deep Learning

android-malware-detection-5

Android malware detection using static and dynamic analysis

android-malware-detection-using-a-machine-learning-approach

Extracted a number of features from Packaged Android Applications (APKs) to train a One class Support Vector Machine using the Scikit-learn framework and detected malware on Android devices.

android-malware-detection-with-streamed-nn

Using Static analysis with fully connected DNN and Dynamic analysis with HARNN

android-malware-static-detector

Android malware static detector. Python script that performs static analysis of Android APK files using a neural network.

android-permission-extraction-and-dataset-creation-with-python

One script to create permission based dataset of android application for your next ML Malware Detection gizmo.

android_malwareanalysis

CNN based android malware detection system

apt-provenancegraph

该资源是各种溯源图相关的论文和资源总结（含PPT），涉及APT攻击检测、入侵检测、流量日志检测、系统安全等领域，希望对大家有所帮助~

autogan

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

awesome-image-classification

A curated list of deep learning image classification papers and codes

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

cvpr2020-code

CVPR 2020 论文开源项目合集

dada

deep-android-malware-detection

Code for Deep Android Malware Detection paper

deep-sad-pytorch

A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.

deep_learning_for_android_malware_detection

Effectiveness of additional training of an ANN based model in detectining android malware

deepintent

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

dlib_face_recognition_from_camera

Detect and recognize the faces from camera / 调用摄像头进行人脸识别，支持多张人脸同时识别

dnn-androidmalware

Deep neural networks for android malware detection