Alternatives and similar repositories for MalwareBackdoors

Users that are interested in MalwareBackdoors 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"
  ☆52Updated last year
• surrealyz / pdfclassifier
  On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542
  ☆29Updated 3 years ago
• deqangss / adv-dnn-ens-malware
  adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants
  ☆57Updated 2 years ago
• deqangss / pad4amd
  adversarial malware detection via a principled way
  ☆20Updated 2 years ago
• YangXiuxuan / Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
  ☆16Updated 4 years ago
• s2labres / transcendent-release
  ☆22Updated last year
• nuwuxian / morse
  ☆11Updated 10 months ago
• gnipping / AdvDroidZero-Access-Instructions
  the instructions about request access to AdvDroidZero
  ☆11Updated last year
• ShoumikSaha / DRSM
  DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)
  ☆14Updated last year
• wagner-group / active-learning
  Continuous Learning for Android Malware Detection (USENIX Security 2023)
  ☆69Updated last year
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆13Updated 4 years ago
• PurduePAML / Machine-Learning-Security-Seminar
  Machine Learning & Security Seminar @Purdue University
  ☆25Updated 2 years ago
• gnipping / Awesome-Malware-Related-Papers
  A curated list of malware-related papers.
  ☆28Updated 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…
  ☆46Updated last month
• E0HYL / FINER-explain
  Explainable malware and vulnerability detection with XAI in paper "FINER: Enhancing State-of-the-art Classifiers with Feature Attribution…
  ☆10Updated 9 months ago
• FutureComputing4AI / MalConv2
  Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection
  ☆62Updated 4 years ago
• ZJUNESA / SANDP
  Seminar 2022
  ☆21Updated 2 months ago
• evandowning / deepreflect
  Discovering Malicious Functionality through Binary Reconstruction
  ☆55Updated 3 years ago
• ryderling / MalGraph
  Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"
  ☆45Updated 3 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
• 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
• eurecom-s3 / DecodingMLSecretsOfWindowsMalwareClassification
  ☆18Updated last year
• dherath / CFGExplainer
  [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…
  ☆35Updated 2 years ago
• AI-secure / Meta-Nerual-Trojan-Detection
  ☆66Updated 4 years ago
• pralab / IndicatorsOfAttackFailure
  Indicators of Attack Failure: Debugging and Improving Optimization of Adversarial Examples
  ☆19Updated 3 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
• Megum1 / BEAGLE
  [NDSS'23] BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense
  ☆17Updated last year
• yanminglai / Malware-GAN
  Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017
  ☆123Updated 6 years ago
• ALFA-group / malware_challenge
  [AdvML@KDD 2019] Robust Malware Detection Challenge
  ☆17Updated 5 years ago
• deqangss / malware-uncertainty
  deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware
  ☆16Updated 3 years ago