diningphil / robust-call-graph-malware-detection
Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)
☆11Updated last year
Related projects ⓘ
Alternatives and complementary repositories for robust-call-graph-malware-detection
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆41Updated 2 years ago
- 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)☆28Updated 2 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆67Updated 2 years ago
- 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…☆31Updated 3 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆18Updated 2 years ago
- ☆14Updated 3 years ago
- Training Vision Transformers from Scratch for Malware Classification☆26Updated 3 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆40Updated last year
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆33Updated 2 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆51Updated 3 years ago
- A curated list of malware-related papers.☆22Updated 8 months ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆78Updated 2 years ago
- ☆33Updated 3 months ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 3 years ago
- ☆15Updated 2 years ago
- 基于深度学习的恶意软件检测研究;MalConv;☆82Updated 2 years ago
- ☆12Updated 5 years ago
- ☆27Updated 2 years ago
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆50Updated 8 months ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆17Updated 6 years ago
- ATLAS: A Sequence-based Learning Approach for Attack Investigation☆141Updated 2 years ago
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆25Updated 2 months ago
- ☆19Updated 5 years ago
- ☆11Updated 5 years ago
- ☆86Updated last year
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆47Updated 5 months ago
- FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data☆24Updated 2 years ago
- 使用Bert做embedding,结合BiLSTM做恶意软件的多分类任务☆41Updated 3 years ago
- ☆11Updated 2 years ago