alewarne / explain-mlsecLinks
☆17Updated 5 years ago
Alternatives and similar repositories for explain-mlsec
Users that are interested in explain-mlsec are comparing it to the libraries listed below
Sorting:
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- Source code for 'Lemna: Explaining deep learning based security applications'.☆24Updated 5 years ago
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆144Updated 2 years ago
- ☆55Updated 6 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
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆60Updated last year
- Interpreting and Improving Deep Learning-based Anomaly Detection in Security Applications (CCS'21)☆73Updated 3 years ago
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆129Updated 7 years ago
- ☆17Updated 4 years ago
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆37Updated 3 years ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆59Updated 3 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆14Updated 4 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆55Updated 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
- A Benchmark Dataset for Trustworthy Malware Family Classification under Concept Drift☆15Updated 8 months ago
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆148Updated 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…☆20Updated 4 years ago
- ☆26Updated last year
- ☆11Updated last year
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆73Updated 2 years ago
- A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system☆22Updated 4 years ago
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆14Updated last year
- Codes for AICS'2019 challenge problem☆22Updated 6 years ago
- FARE: Enabling Fine-grained Attack Categorization under Low-quality Labeled Data☆28Updated 3 years ago
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆16Updated 4 years ago
- adversarial malware detection via a principled way☆22Updated 2 years ago
- A novel and interpretable ML-based approach to classify malware with high accuracy and explain the classification result meanwhile.☆28Updated 3 years ago
- the instructions about request access to AdvDroidZero☆12Updated last year
- On Training Robust PDF Malware Classifiers (Usenix Security'20) https://arxiv.org/abs/1904.03542☆30Updated 3 years ago
- CCS 2023 | Explainable malware and vulnerability detection with XAI in paper "FINER: Enhancing State-of-the-art Classifiers with Feature …☆11Updated last year