Alternatives and similar repositories for APISeqFewShot

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

• Asichurter / MalFusionFSL
  Few-Shot malware classification using fused features of static analysis and dynamic analysis （基于静态+动态分析的混合特征的小样本恶意代码分类框架）
  ☆32Updated 3 years ago
• ucsb-seclab / Neurlux
  Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
  ☆13Updated 4 years ago
• friendllcc / Malware-Detection-API-Sequence-Intrinsic-Features
  ☆31Updated 3 years ago
• friendllcc / DMalNet
  ☆20Updated 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
• 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…
  ☆35Updated 4 years ago
• crowdma / benchmfc
  A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift
  ☆14Updated 6 months ago
• seclab-fudan / APIGraph
  Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors
  ☆91Updated 3 years ago
• whyisyoung / CADE
  Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications
  ☆141Updated 2 years ago
• YangXiuxuan / Robust-Android-Malware-Detection-Against-Adversarial-Example-Attacks
  ☆16Updated 4 years ago
• nikeluobinxiaoma / Learning-Based-PE-Malware-Family-Classification-Methods
  ☆11Updated 3 years ago
• danielgibert / mlw_classification_hydra
  ☆28Updated 4 years ago
• dherath / CFGExplainer
  [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…
  ☆36Updated 3 years ago
• E0HYL / MsDroid
  TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…
  ☆60Updated last year
• bitterzzZZ / Bert-malware-classification
  使用Bert做embedding，结合BiLSTM做恶意软件的多分类任务
  ☆42Updated 4 years ago
• yueyueL / DL-based-Android-Malware-Defenses-review
  Papers, code and datasets about deep learning for Android malware defenses and malware detection
  ☆147Updated last year
• Sp1keeeee / MaMadroid
  A new version used Androguard but not Soot to realize MaMadroid。
  ☆19Updated 4 years ago
• vinayakakv / android-malware-detection
  Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.
  ☆39Updated 4 years ago
• deqangss / aics2019_challenge_adv_mal_defense
  Codes for AICS'2019 challenge problem
  ☆22Updated 5 years ago
• DroidEvolver / DroidEvolver
  ☆22Updated 5 years ago
• njustbdag / S3Feature
  A Static Sensitive Subgraph-based Feature for Android Malware Detection
  ☆11Updated 4 years ago
• Bowen-n / MCBG
  Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)
  ☆22Updated 3 years ago
• kericwy1337 / Datacon2019-Malicious-Code-DataSet-Stage1
  ☆26Updated 6 years ago
• joddiy / DynamicMalwareAnalysis
  The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.
  ☆32Updated 9 months ago
• RingBDStack / HAWK
  ☆16Updated 3 years ago
• dongtsi / DeepAID
  Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)
  ☆73Updated 3 years ago
• vikram-mm / Android-Malware-Detection
  ☆60Updated 7 years ago
• cx0113 / fine-grained-unknown-attack-detection
  ☆19Updated 4 years ago
• junjieliang672 / FARE
  FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data
  ☆27Updated 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.
  ☆73Updated 3 years ago