Alternatives and similar repositories for active-learning:

Users that are interested in active-learning are comparing it to the libraries listed below

• s2labres / transcendent-release
  ☆22Updated last year
• E0HYL / MsDroid
  An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…
  ☆57Updated last year
• E0HYL / AndrozooDownloader
  从Androzoo下载数据集，区分年份以及良性/恶意应用，支持协程、代理、断点继续、错误重试等
  ☆48Updated last year
• seclab-fudan / APIGraph
  Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors
  ☆85Updated 2 years ago
• wubozhi / Xmal
  A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.
  ☆27Updated 2 years ago
• deqangss / malware-uncertainty
  deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware
  ☆16Updated 3 years ago
• ClonedOne / MalwareBackdoors
  Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers
  ☆58Updated 3 years ago
• gnipping / Awesome-Malware-Related-Papers
  A curated list of malware-related papers.
  ☆27Updated last year
• Trustworthy-Software / DexRay
  ☆22Updated last year
• malscan-android / MalScan
  MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis
  ☆43Updated 5 years ago
• nuwuxian / morse
  ☆11Updated 9 months ago
• YangXiuxuan / Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
  ☆16Updated 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
• Trustworthy-Software / Reproduction-of-Android-Malware-detection-approaches
  ☆37Updated 3 years ago
• vinayakakv / android-malware-detection
  Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
  ☆38Updated 3 years ago
• pwwl / enhanced-binary-diversification
  Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"
  ☆51Updated 11 months ago
• yueyueL / DL-based-Android-Malware-Defenses-review
  Papers, code and datasets about deep learning for Android malware defenses and malware detection
  ☆144Updated last year
• gnipping / AdvDroidZero-Access-Instructions
  the instructions about request access to AdvDroidZero
  ☆11Updated last year
• crowdma / benchmfc
  A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift
  ☆12Updated last month
• deqangss / pad4amd
  adversarial malware detection via a principled way
  ☆20Updated 2 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
• RingBDStack / HAWK
  ☆16Updated 2 years ago
• ShoumikSaha / DRSM
  DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)
  ☆14Updated last year
• ryderling / MalGraph
  Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"
  ☆45Updated 3 years ago
• annamalai-nr / drebin
  Drebin - NDSS 2014 Re-implementation
  ☆107Updated 7 years 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…
  ☆44Updated 3 weeks ago
• Maruko912 / AMDs
  A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments
  ☆12Updated last year
• E0HYL / AI4Code-Framework
  A unified framework for AI-enhanced code analysis.
  ☆9Updated last year
• shijiansj / DeepCatra
  ☆13Updated 3 years ago
• IanWE / mamadroid
  revised
  ☆22Updated 4 years ago