Xy1i's repositories
FlowDroid
FlowDroid Static Data Flow Tracker
NinjaDroid
Ninja Reverse Engineering on Android APK packages
Sherlock
This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.
text2vec
text2vec, text to vector. 文本向量表征工具，把文本转化为向量矩阵，实现了Word2Vec、RankBM25、Sentence-BERT、CoSENT等文本表征、文本相似度计算模型，开箱即用。
Explainable-AI-malware-detection
Malware detection with added explanability of AI through saliency map on Android APK using PyTorch and Androguard.
android-detectors
End-to-end implementation of ML-based Android malware detectors.
GHGDroid
GHGDroid : Global Heterogeneous Graph-based Android Malware Detection
Android_Malware_Analysis
This project provides an analysis of Android malware using static features. We leverage Jupyter Notebook to perform static analysis on Android permissions and APK files, extracting relevant features and providing insights into potential malicious behavior.
Obfuscapk
An automatic obfuscation tool for Android apps that works in a black-box fashion, supports advanced obfuscation features and has a modular architecture easily extensible with new techniques
DL-based-Android-Malware-Defenses-review
Papers, code and datasets about deep learning for Android malware defenses and malware detection
AMDs
A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments
Z2F
Z2F: Heterogeneous Graph-Based Android Malware Detection
MaleX
A curated dataset of malware and benign Windows executable samples for malware researchers
SupContrast
PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)
CICFlowMeter
CICFlowmeter-V4.0 (formerly known as ISCXFlowMeter)
MIL-Malware-Images
PyTorch implementation of my Master's thesis - "High-resolution Image-based Malware Classification using Multiple Instance Learning"
Awesome-ML-SP-Papers
A curated list of Meachine learning Security & Privacy papers published in security top-4 conferences (IEEE S&P, ACM CCS, USENIX Security and NDSS).
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 Open Dataset for Malware AnalysiS.
malware-classification
Malware Byteplot Image Classification using Machine Learning and Deep Learning
chaosblade
An easy to use and powerful chaos engineering experiment toolkit.（阿里巴巴开源的一款简单易用、功能强大的混沌实验注入工具）
ember
Elastic Malware Benchmark for Empowering Researchers
active-learning
Continuous Learning for Android Malware Detection (USENIX Security 2023)
mall-learning
mall学习教程，架构、业务、技术要点全方位解析。mall项目（50k+star）是一套电商系统，使用现阶段主流技术实现。涵盖了SpringBoot 2.3.0、MyBatis 3.4.6、Elasticsearch 7.6.2、RabbitMQ 3.7.15、Redis 5.0、MongoDB 4.2.5、Mysql5.7等技术，采用Docker容器化部署。
avclass
AVClass malware labeling tool
Exphormer
Exphormer: Sparse Transformer for Graphs