yan-scnu / Prompted_Dynamic_DetectionLinks
Official implementation of Prompt Engineering-assisted Malware Dynamic Analysis Using GPT-4
☆29Updated last year
Alternatives and similar repositories for Prompted_Dynamic_Detection
Users that are interested in Prompted_Dynamic_Detection are comparing it to the libraries listed below
Sorting:
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆15Updated 10 months ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆14Updated 5 years ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆73Updated 2 years ago
- ☆17Updated 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…☆37Updated 4 years ago
- Source code of Malware Classification by Learning Semantic and Structural Features of Control Flow Graphs (TrustCom 2021)☆22Updated 3 years ago
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆74Updated 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)☆34Updated 4 years ago
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆62Updated 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
- ☆20Updated 3 years ago
- ☆32Updated 3 years ago
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆48Updated 4 years ago
- A curated list of malware-related papers.☆34Updated last year
- 基于深度学习的恶意软件检测研究;MalConv;☆115Updated 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…☆53Updated 9 months ago
- Codes for AICS'2019 challenge problem☆22Updated 6 years ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Updated 2 years ago
- ☆27Updated last year
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆93Updated 3 years ago
- Discovering Malicious Functionality through Binary Reconstruction☆59Updated 4 years ago
- Official code for the paper entitled "Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks"☆31Updated 9 months ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆55Updated last year
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆34Updated last year
- Evading Provenance-Based ML Detectors with Adversarial System Actions☆33Updated last year
- ☆11Updated 4 years ago
- the instructions about request access to AdvDroidZero☆13Updated last year
- ☆13Updated 3 years ago
- ATLAS: A Sequence-based Learning Approach for Attack Investigation☆174Updated 3 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago