ucsb-seclab / NeurluxLinks
Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering
☆14Updated 5 years ago
Alternatives and similar repositories for Neurlux
Users that are interested in Neurlux are comparing it to the libraries listed below
Sorting:
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆55Updated last year
- Discovering Malicious Functionality through Binary Reconstruction☆59Updated 4 years ago
- ☆20Updated 3 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆93Updated 3 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆37Updated 3 years ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆15Updated 9 months ago
- ☆32Updated 3 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆74Updated 3 years ago
- ☆17Updated 4 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆61Updated last year
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆48Updated 3 years ago
- ☆23Updated 5 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆75Updated 2 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…☆36Updated 4 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆34Updated last year
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆109Updated last year
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆20Updated 4 years ago
- ☆18Updated last year
- ☆11Updated last year
- Drebin - NDSS 2014 Re-implementation☆106Updated 8 years ago
- Harmonious Unification of Cacophonous Anti-Virus Vendor Labels for Android Malware☆51Updated 6 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 …☆89Updated last year
- 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)☆34Updated 4 years ago
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆14Updated last year
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Updated 2 years ago
- A curated list of malware-related papers.☆34Updated last year
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆89Updated last year
- This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…☆93Updated 7 years ago