Alternatives and similar repositories for toucanstrike

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

• pralab / secml_malware
  Create adversarial attacks against machine learning Windows malware detectors
  ☆222Updated last month
• dtrizna / nebula
  Transformer Neural Network from Dynamic Malware Detection
  ☆31Updated 10 months ago
• weisong-ucr / 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…
  ☆46Updated last month
• 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 …
  ☆81Updated last year
• bfilar / malware_rl
  Malware Bypass Research using Reinforcement Learning
  ☆105Updated 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
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆52Updated last year
• dtrizna / quo.vadis
  Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation
  ☆39Updated 2 years ago
• avast / avast-ctu-cape-dataset
  ☆36Updated last year
• ucsb-seclab / packware
  Effects of packers on machine-learning-based malware classifiers that use only static analysis
  ☆86Updated 11 months ago
• Mayachitra-Inc / MaleX
  A curated dataset of malware and benign Windows executable samples for malware researchers
  ☆45Updated 7 months ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆62Updated 4 years ago
• joyce8 / MalDICT
  Malware datasets tagged by behavior, platform, vulnerability, and packer
  ☆25Updated last year
• zRapha / FAME
  Framework for Adversarial Malware Evaluation.
  ☆34Updated 2 months ago
• FutureComputing4AI / ClarAVy
  ☆33Updated 2 months ago
• endgameinc / malware_evasion_competition
  ☆79Updated 5 years ago
• EQuiw / 2020-evasion-competition
  Defense from the 2020 Microsoft Evasion Competition
  ☆16Updated 4 years ago
• evandowning / deepreflect
  Discovering Malicious Functionality through Binary Reconstruction
  ☆55Updated 3 years ago
• Azure / 2020-machine-learning-security-evasion-competition
  2020 Machine Learning Security Evasion Competition
  ☆49Updated 4 years ago
• danielgibert / fusing_feature_engineering_and_deep_learning_a_case_study_for_malware_classification
  ☆11Updated 2 years ago
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆71Updated 6 months ago
• CoDS-GCS / MEGR-APT-code
  MEGR-APT: A Memory-Efficient APT Hunting System Based on Attack Representation Learning
  ☆44Updated last month
• CrowdStrike / embersim-databank
  Code for the paper "EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis"
  ☆29Updated last year
• czs108 / Microsoft-Malware-Classification
  🔍 "2015 Microsoft Malware Classification Challenge" - Using machine learning to classify malware into different families based on Window…
  ☆26Updated last year
• 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
• aptresearch / datasets
  ☆23Updated 3 years ago
• das-lab / mpsd
  malicious PowerShell script detection model
  ☆40Updated 3 years ago
• iosifache / DikeDataset
  Dataset with labeled benign and malicious files 🗃️
  ☆121Updated last year
• Assemblage-Dataset / Assemblage
  ☆29Updated last month
• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆59Updated 3 years ago