danielgibert / mlw_classification_hydra
☆27Updated 4 years ago
Alternatives and similar repositories for mlw_classification_hydra:
Users that are interested in mlw_classification_hydra are comparing it to the libraries listed below
- Transfer Learning for Image-Based Malware Classification☆47Updated 2 years ago
- Malware Classification using Machine learning☆71Updated 2 months ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆62Updated 4 years ago
- ☆28Updated 5 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 4 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆55Updated last year
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆48Updated 8 months 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
- This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.☆24Updated 11 months ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆69Updated 2 years ago
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆17Updated 3 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆52Updated 3 years ago
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆75Updated 10 months ago
- A neural approach to malware detection in portable executables☆79Updated last year
- ☆10Updated 2 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆29Updated last month
- 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
- A malware family classification model based on CNN☆23Updated 2 years ago
- ☆28Updated 2 years ago
- ☆17Updated 2 years ago
- Training Vision Transformers from Scratch for Malware Classification☆27Updated 3 years ago
- ☆15Updated 3 years ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18Updated 6 years ago
- This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…☆83Updated 6 years ago
- ☆15Updated 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…☆42Updated last year
- Dataset with labeled benign and malicious files 🗃️☆107Updated last year
- adversarial malware detection via a principled way☆19Updated last year
- ☆31Updated 4 years ago
- Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…☆74Updated 5 years ago