officialarijit / DW-FedAvgLinks
A Federated Learning based Android Malware Classification System
☆27Updated last year
Alternatives and similar repositories for DW-FedAvg
Users that are interested in DW-FedAvg are comparing it to the libraries listed below
Sorting:
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆16Updated 3 years ago
- Android Malware Detection with Graph Convolutional Networks using Function Call Graph and its Derivatives.☆38Updated 3 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆57Updated 2 years ago
- This project contains 10010 ELF files (6165 IoT Botnet of different variant and 3845 benign files)☆9Updated 6 years ago
- FL-based intrusion detection system development using model averaging.☆39Updated 2 years ago
- Continuous Learning for Android Malware Detection (USENIX Security 2023)☆70Updated last year
- Papers, code and datasets about deep learning for Android malware defenses and malware detection☆145Updated last year
- Detection of IoT devices infected by malwares from their network communications, using federated machine learning☆40Updated last year
- Code for our USENIX Security 2021 paper -- CADE: Detecting and Explaining Concept Drift Samples for Security Applications☆139Updated 2 years ago
- ☆16Updated 4 years ago
- FewShot Malware Classification based on API call sequences, also as code repo for "A Novel Few-Shot Malware Classification Approach for U…☆17Updated 3 years ago
- Explainable AI for Android Malware Detection: Towards Understanding Why the Models Perform So Well?☆13Updated 2 years ago
- ☆13Updated 3 years ago
- TDSC 2022 | An explainable GNN-based Android malware detection system in paper "MsDroid: Identifying Malicious Snippets for Android Malwa…☆58Updated last year
- A backdoor attack by vulnerability amplification on online machine learning-based network intrusion detection system☆21Updated 3 years ago
- KronoDroid Dataset☆35Updated 5 months ago
- ☆22Updated last year
- Evaluation of ML models in Android malware classification, adversarial attacks on DNNs & defense mechanisms☆12Updated 5 years ago
- Android Malware Detection using Deep Learning☆54Updated 5 years ago
- the instructions about request access to AdvDroidZero☆12Updated last year
- ☆61Updated 7 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
- Keras with Tensorflow implementation of our paper "Mockingbird: Defending Against Deep-Learning-Based Website Fingerprinting Attacks with…☆41Updated last year
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆14Updated last year
- ☆23Updated last year
- adversarial malware detection via a principled way☆21Updated 2 years ago
- Code for the paper Explanation-Guided Backdoor Poisoning Attacks Against Malware Classifiers☆59Updated 3 years ago
- 使用安卓Opcode字节码的N-gram序列特征进行恶意软件检测的完全步骤，使用算法RF，KNN☆19Updated 4 years ago
- ☆14Updated 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