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E0HYL/README.md

Hi there 👋

  • 🔭 I’m currently working on learning-based code analysis.
  • 🌱 I’m always learning recent advances in the related domains and never limit myself to one way.
  • 👯 I’m looking to collaborate on automated software systems.
  • 💬 Visit my blog at https://e0hyl.github.io/BLOG-OF-E0/.

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  1. DREAM-drift-adapt DREAM-drift-adapt Public

    CCS 2025 | Neural-symbolic model adaptation integrating malware behavior-based domain concepts in paper "Combating Concept Drift with Explanatory Detection and Adaptation for Android Malware Classi…

    Jupyter Notebook 16 1

  2. MsDroid MsDroid Public

    TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection"

    Python 64 13

  3. FINER-explain FINER-explain Public

    CCS 2023 | Explainable malware and vulnerability detection with XAI in paper "FINER: Enhancing State-of-the-art Classifiers with Feature Attribution to Facilitate Security Analysis"

    Python 11 4

  4. AndrozooDownloader AndrozooDownloader Public

    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

    Python 55 6

  5. CallGraph-Flowdroid CallGraph-Flowdroid Public

    Extract call graph from apks using Flowdroid.

    Java 20 3

  6. BlockImage_System BlockImage_System Public archive

    2018年全国大学生信息安全竞赛作品赛一等奖

    JavaScript 32 2