deqangss / pad4amdLinks
adversarial malware detection via a principled way
☆22Updated 2 years ago
Alternatives and similar repositories for pad4amd
Users that are interested in pad4amd are comparing it to the libraries listed below
Sorting:
- the instructions about request access to AdvDroidZero☆12Updated last year
- ☆16Updated 4 years ago
- 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☆59Updated 3 years ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆71Updated last year
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆58Updated last year
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆146Updated last year
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆14Updated last year
- ☆24Updated last year
- Codes for AICS'2019 challenge problem☆22Updated 5 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…☆35Updated 4 years ago
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆28Updated 2 years ago
- A Comprehensive Study of Learning-based Android Malware Detectors under Challenging Environments☆13Updated last year
- ☆11Updated last year
- MalScan: Fast Market-Wide Mobile Malware Scanning by Social-Network Centrality Analysis☆43Updated 5 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Updated 4 years ago
- [NDSS'23] BEAGLE: Forensics of Deep Learning Backdoor Attack for Better Defense☆17Updated last year
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆16Updated 3 years 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☆50Updated last year
- Building relation graph of Android APIs to catch the semantics between APIs, and used to enhancing Android malware detectors☆88Updated 2 years ago
- Evaluation of ML models in Android malware classification, adversarial attacks on DNNs & defense mechanisms☆12Updated 5 years ago
- Drebin - NDSS 2014 Re-implementation☆106Updated 7 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆53Updated last year
- ☆18Updated 3 years ago
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆13Updated 4 months ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆38Updated 4 years ago
- CCS 2023 | Explainable malware and vulnerability detection with XAI in paper "FINER: Enhancing State-of-the-art Classifiers with Feature …☆11Updated 11 months ago
- A curated list of malware-related papers.☆30Updated last year
- ☆40Updated 4 years ago
- [IEEE S&P'24] ODSCAN: Backdoor Scanning for Object Detection Models☆17Updated 7 months ago