Malware Classification using Machine learning

A large-scale database of malicious software images

Popular Malware-Samples for research and educational purposes.(60+ Samples!)

Detecting malicious URLs using an autoencoder neural network

Malware Classification and Labelling using Deep Neural Networks

Official implementation for the paper "On deceiving malware classification with section injection"

This GitHub repository contains an implementation of a malware classification/detection system using Convolutional Neural Networks (CNNs).

Few-Shot malware classification using fused features of static analysis and dynamic analysis （基于静态+动态分析的混合特征的小样本恶意代码分类框架）

Training Vision Transformers from Scratch for Malware Classification

Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)

FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for Unknown Family Recognition with Multi-Prototype Modeling" paper.

👾 Malware Classification using Deep Learning and Cuckoo Sandbox

Assessing 📊 the impact of class imbalance on model performance and convergence for malware byteplot image 🌌 classification

android-malware-classification using machine learning algorithms

Datawhale&科大讯飞2021A.I.开发者大赛恶意软件分类CV/NLP/表格三个方向的建模思路+伪标签LGB（rank11）

Malware detector and classifier based on static analysis of PE executables

HGConv: Holographic Global Convolutional Networks

Malware Classification using the dataset provided by Microsoft

PyTorch dataset loader for image, text, malware, and medical classification datasets

Marmara Üniversitesi, Fen Bilimleri Enstitüsü, Bilgisayar Mühendisliği bölümünde sunulan “DERİN SİNİR AĞLARI İLE FEDERE ÖĞRENME TABANLI BİR KÖTÜ AMAÇLI YAZILIM TESPİT UYGULAMASI” başlıklı tez çalışmasına ait kaynak kodlarıdır.