deqangss / pad4amd
adversarial malware detection via a principled way
☆20Updated last year
Alternatives and similar repositories for pad4amd:
Users that are interested in pad4amd are comparing it to the libraries listed below
- ☆16Updated 4 years ago
- the instructions about request access to AdvDroidZero☆11Updated last year
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆58Updated 2 years ago
- Codes for AICS'2019 challenge problem☆22Updated 5 years ago
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆13Updated 11 months ago
- An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malware Detection…☆56Updated last year
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆15Updated 3 years ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆11Updated last month
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆51Updated 11 months ago
- ☆21Updated last year
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆38Updated 3 years ago
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆27Updated 2 years ago
- A curated list of malware-related papers.☆27Updated last year
- 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☆48Updated last year
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago
- ☆37Updated 3 years ago
- ☆11Updated 9 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…☆34Updated 3 years ago
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆85Updated 2 years ago
- MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis☆43Updated 4 years ago
- ☆13Updated 3 years ago
- A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments☆12Updated last year
- Enhancing Android Malware Detection with Adversarial Purification against Evasion Attacks☆29Updated 6 months ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆68Updated last year
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆143Updated last year
- A unified framework for AI-enhanced code analysis.☆9Updated last year
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆62Updated 4 years ago
- A new version used Androguard but not Soot to realize MaMadroid。☆19Updated 4 years ago
- Evaluation of ML models in Android malware classification, adversarial attacks on DNNs & defense mechanisms☆12Updated 5 years ago