Alternatives and similar repositories for MalRNN

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

• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆55Updated last year
• 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 …
  ☆92Updated last year
• pralab / secml_malware
  Create adversarial attacks against machine learning Windows malware detectors
  ☆242Updated 2 months ago
• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆60Updated 3 years ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆75Updated 3 months ago
• ryderling / adversarial-attacks-and-defenses-for-windows-pe-malware-detection
  A curated resource list of adversarial attacks and defenses for Windows PE malware detection.
  ☆74Updated 3 years ago
• bfilar / malware_rl
  Malware Bypass Research using Reinforcement Learning
  ☆107Updated last year
• 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…
  ☆53Updated 9 months ago
• iosifache / DikeDataset
  Dataset with labeled benign and malicious files 🗃️
  ☆149Updated 2 years ago
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 6 years ago
• yanminglai / Malware-GAN
  Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
  ☆130Updated 7 years ago
• j40903272 / MalConv-keras
  This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…
  ☆94Updated 7 years ago
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆14Updated 5 years ago
• surrealyz / pdfclassifier
  On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542
  ☆30Updated 4 years ago
• danielgibert / mlw_classification_hydra
  ☆28Updated 5 years ago
• ZaydH / MalwareGAN
  Adversarial Malware Generator Using GANs
  ☆55Updated last year
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆77Updated last year
• 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…
  ☆38Updated 4 years ago
• wagner-group / active-learning
  Continuous Learning for Android Malware Detection (USENIX Security 2023)
  ☆74Updated 2 years ago
• ShoumikSaha / DRSM
  DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)
  ☆14Updated last year
• evandowning / deepreflect
  Discovering Malicious Functionality through Binary Reconstruction
  ☆59Updated 4 years ago
• eurecom-s3 / DecodingMLSecretsOfWindowsMalwareClassification
  ☆18Updated last year
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆79Updated 2 years ago
• ALFA-group / robust-adv-malware-detection
  [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…
  ☆111Updated last year
• ucsb-seclab / packware
  Effects of packers on machine-learning-based malware classifiers that use only static analysis
  ☆89Updated last year
• Bowen-n / MCBG
  Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)
  ☆22Updated 3 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆32Updated 3 years ago
• YangXiuxuan / Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
  ☆18Updated 4 years ago
• fabriciojoc / brazilian-malware-dataset
  Dataset containing thousands of malware and goodware collected in the Brazilian cyberspace over years.
  ☆20Updated 5 years ago
• Alexander-H-Liu / MalConv-Pytorch
  Pytorch implementation of MalConv
  ☆72Updated 3 years ago