Alternatives and similar repositories for Improved_MalGAN:

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

• ZaydH / MalwareGAN
  Adversarial Malware Generator Using GANs
  ☆53Updated 8 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.
  ☆69Updated 2 years ago
• yanminglai / Malware-GAN
  Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
  ☆122Updated 6 years 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
• yuxiaorun / MalConv-Adversarial
  Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf
  ☆18Updated 6 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 …
  ☆79Updated last year
• pralab / secml_malware
  Create adversarial attacks against machine learning Windows malware detectors
  ☆218Updated 2 months ago
• pratikpv / malware_classification
  Transfer Learning for Image-Based Malware Classification
  ☆46Updated 3 years ago
• leocsato / detector_mw
  Optimizer for Malware Detection. Api Calls Sequence of Benign Files are provided.
  ☆15Updated 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…
  ☆44Updated 2 years ago
• pratikpv / malware_detect2
  Malware Classification using Machine learning
  ☆71Updated 4 months ago
• jaketae / deep-malware-detection
  A neural approach to malware detection in portable executables
  ☆78Updated 2 years ago
• lzylucy / Malware-GAN-attack
  We implement MalGAN to attack several PDF classifiers and evaluate the robustness of those models.
  ☆25Updated 2 years ago
• dtrizna / quo.vadis
  Hybrid Machine Learning Model for Malware Detection based on Windows Kernel Emulation
  ☆38Updated last year
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆29Updated 2 years ago
• ocatak / lstm_malware_detection
  ☆31Updated 4 years ago
• bfilar / malware_rl
  Malware Bypass Research using Reinforcement Learning
  ☆104Updated 11 months ago
• CyberScienceLab / Our-Datasets
  ☆35Updated 7 months ago
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 5 years ago
• pralab / toucanstrike
  Command line tool for launching attacks against Machine Learning Malware detectors.
  ☆18Updated last year
• 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 8 months ago
• Mayachitra-Inc / MaleX
  A curated dataset of malware and benign Windows executable samples for malware researchers
  ☆44Updated 5 months ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆62Updated 4 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…
  ☆86Updated 6 years ago
• endgameinc / malware_evasion_competition
  ☆78Updated 5 years ago
• bormaa / Benign-NET
  Benign .NET files
  ☆32Updated 7 months ago
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆50Updated 10 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 4 years ago
• Alexander-H-Liu / MalConv-Pytorch
  Pytorch implementation of MalConv
  ☆72Updated 3 years ago
• khas-ccip / api_sequences_malware_datasets
  ☆22Updated 3 years ago