Alternatives and similar repositories for Malware-GAN-attack

Users that are interested in Malware-GAN-attack are comparing it to the libraries listed below

• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆59Updated 3 years ago
• surrealyz / pdfclassifier
  On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542
  ☆29Updated 3 years ago
• yanminglai / Malware-GAN
  Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
  ☆126Updated 6 years ago
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆53Updated 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…
  ☆45Updated 3 months ago
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆57Updated 2 years ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆70Updated 4 years 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.
  ☆71Updated 2 years ago
• pralab / secml_malware
  Create adversarial attacks against machine learning Windows malware detectors
  ☆228Updated 3 weeks 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…
  ☆88Updated 6 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…
  ☆106Updated 11 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…
  ☆35Updated 3 years ago
• wagner-group / active-learning
  Continuous Learning for Android Malware Detection (USENIX Security 2023)
  ☆70Updated last year
• s2labres / transcendent-release
  ☆23Updated 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 …
  ☆83Updated last year
• bfilar / malware_rl
  Malware Bypass Research using Reinforcement Learning
  ☆105Updated last year
• ZaydH / MalwareGAN
  Adversarial Malware Generator Using GANs
  ☆54Updated 11 months ago
• danielgibert / mlw_classification_hydra
  ☆28Updated 4 years ago
• dherath / CFGExplainer
  [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…
  ☆35Updated 2 years ago
• gnipping / Awesome-Malware-Related-Papers
  A curated list of malware-related papers.
  ☆29Updated last year
• whyisyoung / CADE
  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
  ☆139Updated 2 years ago
• ryderling / MalGraph
  Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"
  ☆46Updated 3 years ago
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆13Updated 4 years ago
• eurecom-s3 / DecodingMLSecretsOfWindowsMalwareClassification
  ☆18Updated last year
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 5 years ago
• ShoumikSaha / DRSM
  DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)
  ☆14Updated last year
• yueyueL / DL-based-Android-Malware-Defenses-review
  Papers, code and datasets about deep learning for Android malware defenses and malware detection
  ☆145Updated last year
• CyberScienceLab / Our-Datasets
  ☆36Updated 11 months ago
• evandowning / deepreflect
  Discovering Malicious Functionality through Binary Reconstruction
  ☆55Updated 3 years ago
• s2labres / tesseract-ml-release
  Code library for the Tesseract framework from 'TESSERACT: Eliminating experimental bias in malware classification across space and time'
  ☆13Updated 7 months ago