Alternatives and similar repositories for MalwareViT

Users that are interested in MalwareViT are comparing it to the libraries listed below

• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆71Updated 6 months ago
• PowerLZY / MalGAN
  主题为”基于GAN的恶意软件对抗样本生成“。首先介绍了恶意软件发展现状，引出基于模式匹配、特征空间和问题空间三种方式去检测恶意软件。然后介绍了如何生成对抗样本攻击恶意软件检测器，详细介绍了基于GAN的恶意软件对抗样本的MalGAN框架，并对实验结果进行了对比。最后总结了结构…
  ☆34Updated 3 years ago
• Asichurter / MalFusionFSL
  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）
  ☆31Updated 3 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆30Updated 2 years ago
• diningphil / robust-call-graph-malware-detection
  Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)
  ☆13Updated last year
• ryderling / adversarial-attacks-and-defenses-for-windows-pe-malware-detection
  A curated resource list of adversarial attacks and defenses for Windows PE malware detection.
  ☆71Updated 2 years ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 3 years ago
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆18Updated 7 years ago
• ryderling / MalGraph
  Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"
  ☆45Updated 3 years ago
• Bowen-n / MCBG
  Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)
  ☆21Updated 3 years ago
• MHunt-er / Benchmarking-Malware-Family-Classification
  ☆15Updated 3 years ago
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 5 years ago
• GiuseppeLaurenza / I_F_Identifier
  This repository contains scripts and dataset for a Apt Identification Triage System
  ☆15Updated 5 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆29Updated 5 months ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆62Updated 4 years ago
• daivc96 / android-malware-classification
  ☆11Updated last year
• bitterzzZZ / Bert-malware-classification
  使用Bert做embedding，结合BiLSTM做恶意软件的多分类任务
  ☆42Updated 4 years ago
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆57Updated 2 years ago
• ocatak / lstm_malware_detection
  ☆32Updated 4 years ago
• mahitaberrefae / Malware-Detection
  With the growth of mobile devices and applications, the number of malicious software, or malware, is rapidly increasing in recent years, …
  ☆24Updated 5 years ago
• PowerLZY / MalConv-Pytorch
  基于深度学习的恶意软件检测研究；MalConv;
  ☆100Updated 2 years ago
• annamalai-nr / drebin
  Drebin - NDSS 2014 Re-implementation
  ☆107Updated 7 years ago
• deqangss / aics2019_challenge_adv_mal_defense
  Codes for AICS'2019 challenge problem
  ☆22Updated 5 years ago
• vikram-mm / Android-Malware-Detection
  ☆61Updated 7 years ago
• vinayakakv / android-malware-detection
  Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
  ☆38Updated 3 years ago
• IanWE / mamadroid
  revised
  ☆22Updated 4 years ago
• yueyueL / XAIforAndroidMalware
  Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?
  ☆13Updated 2 years ago
• czs108 / Microsoft-Malware-Classification
  🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…
  ☆26Updated last year
• YangXiuxuan / Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
  ☆16Updated 4 years ago
• cyber-research / APTAttribution
  Code for Benchmarking two ML Approaches performing Authorship Attribution
  ☆37Updated 3 years ago