ucsb-seclab / Neurlux
Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
☆12Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Neurlux
- ☆15Updated 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…☆16Updated 3 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆51Updated 3 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆47Updated 5 months ago
- ☆27Updated 2 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆78Updated 2 years ago
- ☆14Updated 3 years ago
- ☆21Updated 4 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆33Updated 2 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆41Updated 2 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆54Updated last year
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆67Updated 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
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆59Updated 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
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆18Updated 2 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆27Updated 4 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
- A curated list of malware-related papers.☆21Updated 8 months ago
- 从Androzoo下载数据集,区分年份以及良性/恶意应用,支持协程、代理、断点继续、错误重试等☆42Updated last year
- ☆27Updated 4 years ago
- This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.☆22Updated 8 months ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆56Updated 2 years ago
- revised☆20Updated 4 years ago
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆50Updated 8 months ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆17Updated 4 years ago
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆29Updated 2 years ago
- ☆18Updated 9 months ago
- Codes for AICS'2019 challenge problem☆22Updated 5 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆102Updated 3 months ago