Asichurter / APISeqFewShot
FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for Unknown Family Recognition with Multi-Prototype Modeling" paper.
☆17Updated 3 years ago
Alternatives and similar repositories for APISeqFewShot:
Users that are interested in APISeqFewShot are comparing it to the libraries listed below
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 4 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)☆29Updated 3 years ago
- ☆27Updated 2 years ago
- ☆15Updated 3 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
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆55Updated last year
- ☆27Updated 4 years ago
- adversarial malware detection via a principled way☆19Updated last year
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆11Updated last month
- This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.☆24Updated 10 months ago
- Codes for AICS'2019 challenge problem☆22Updated 5 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆51Updated 3 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆29Updated last month
- ☆17Updated 2 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆80Updated 2 years ago
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆14Updated 3 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆35Updated 2 years ago
- ☆11Updated 3 years ago
- ☆16Updated 2 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆20Updated 2 years ago
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆52Updated 10 months ago
- Transfer Learning for Image-Based Malware Classification☆47Updated 2 years ago
- Optimizer for Malware Detection. Api Calls Sequence of Benign Files are provided.☆14Updated last year
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆11Updated 8 months ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆105Updated 5 months ago
- 使用Bert做embedding,结合BiLSTM做恶意软件的多分类任务☆42Updated 4 years ago
- Source code for 'Lemna: Explaining deep learning based security applications'.☆22Updated 4 years ago
- ☆28Updated 5 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆43Updated 3 years ago
- ☆21Updated 4 years ago