danielgibert / mlw_classification_hydraLinks
☆28Updated 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
Sorting:
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago
- A neural approach to malware detection in portable executables☆79Updated 2 years ago
- Malware Classification using Machine learning☆72Updated 10 months ago
- Transfer Learning for Image-Based Malware Classification☆45Updated 3 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆70Updated 4 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆109Updated last year
- 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
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆71Updated 3 years ago
- Dataset with labeled benign and malicious files 🗃️☆133Updated 2 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 …☆85Updated last year
- Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…☆73Updated 5 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…☆89Updated 6 years ago
- ☆37Updated last year
- ☆31Updated 3 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆54Updated last year
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆32Updated 9 months ago
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆18Updated 3 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆246Updated 3 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)☆32Updated 3 years ago
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18Updated 7 years ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 5 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆141Updated 2 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆57Updated 4 years ago
- ☆26Updated 6 years ago
- A malware family classification model based on CNN☆25Updated 2 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…☆50Updated 5 months ago
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆127Updated 7 years ago
- ☆26Updated 6 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago