Alternatives and similar repositories for MAB-malware

Users that are interested in MAB-malware are comparing it to the libraries listed below

• 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
• ryderling / MalGraph
  Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"
  ☆46Updated 3 years ago
• evandowning / deepreflect
  Discovering Malicious Functionality through Binary Reconstruction
  ☆55Updated 3 years ago
• gnipping / Awesome-Malware-Related-Papers
  A curated list of malware-related papers.
  ☆28Updated last year
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆52Updated last year
• MHunt-er / Benchmarking-Malware-Family-Classification
  ☆15Updated 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
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆67Updated 4 years ago
• surrealyz / pdfclassifier
  On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542
  ☆29Updated 3 years ago
• marcusbotacin / Automated.Malware.Generation
  Additional code and data for the automated malware generation paper
  ☆13Updated last year
• bfilar / malware_rl
  Malware Bypass Research using Reinforcement Learning
  ☆105Updated last year
• ucsb-seclab / packware
  Effects of packers on machine-learning-based malware classifiers that use only static analysis
  ☆86Updated last year
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆30Updated 2 years ago
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 5 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
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆13Updated 4 years ago
• whyisyoung / BODMAS
  Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …
  ☆82Updated last year
• pralab / secml_malware
  Create adversarial attacks against machine learning Windows malware detectors
  ☆225Updated this week
• nuwuxian / morse
  ☆11Updated 11 months ago
• johnnyzn / MalRNN
  An RNN-based framework to evade opensource anti-virus which is also deep learning-based. E.g., MalConv and Non-Negative MalConv.
  ☆12Updated 5 years ago
• wagner-group / active-learning
  Continuous Learning for Android Malware Detection (USENIX Security 2023)
  ☆69Updated last year
• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆59Updated 3 years ago
• dtrizna / nebula
  Transformer Neural Network from Dynamic Malware Detection
  ☆31Updated 11 months ago
• diningphil / robust-call-graph-malware-detection
  Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)
  ☆13Updated 2 years ago
• bitsecurerlab / MAB-malware
  MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…
  ☆14Updated 3 years ago
• s2labres / transcendent-release
  ☆23Updated last year
• YangXiuxuan / Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
  ☆16Updated 4 years ago
• RazorMegrez / VulHawk
  This is the official repository for VulHawk.
  ☆70Updated 2 years ago
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆18Updated 7 years ago
• fabriciojoc / brazilian-malware-dataset
  Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.
  ☆19Updated 4 years ago