tamnguyenvan / malnet
Malware Detection using Convolutional Neural Networks
☆13Updated last year
Alternatives and similar repositories for malnet:
Users that are interested in malnet are comparing it to the libraries listed below
- Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…☆75Updated 5 years ago
- A neural approach to malware detection in portable executables☆78Updated last year
- Transfer Learning for Image-Based Malware Classification☆47Updated 2 years ago
- The code and data for Dynamic Malware Analysis with Feature Engineering and Feature Learning.☆29Updated last month
- Malware Classification using Machine learning☆70Updated 2 months ago
- ☆28Updated 5 years ago
- ☆31Updated 4 years ago
- This repository contains experiments for different publications at the intersection of Computer Vision and Computer Security.☆24Updated 10 months ago
- ☆27Updated 2 years ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆62Updated 4 years ago
- Code for our DLS'21 paper - BODMAS: An Open Dataset for Learning based Temporal Analysis of PE Malware. BODMAS is short for Blue Hexagon …☆75Updated 9 months ago
- ☆27Updated 4 years ago
- An approach to detect Malware Files using Deep Learning☆6Updated 5 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆55Updated last year
- This project is Malware detection API using ML and CNN techniques☆22Updated last year
- Dataset with labeled benign and malicious files 🗃️☆107Updated last year
- adversarial malware detection via a principled way☆19Updated last year
- Benign .NET files☆30Updated 4 months ago
- A Deep Learning framework that analyses Windows PE files to detect malicious Softwares.☆73Updated last year
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆48Updated 8 months ago
- deep learning, malware detection, predictive uncertainty, dataset shift, calibration, uncertainty quantification, android malware☆14Updated 3 years ago
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆12Updated 4 years ago
- [IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik…☆105Updated 5 months ago
- Codes for AICS'2019 challenge problem☆22Updated 5 years ago
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆11Updated 8 months ago
- Malware detection demo using machine learning.☆24Updated 6 years ago
- ☆15Updated 3 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
- This is the implementation of MalConv proposed in [Malware Detection by Eating a Whole EXE](https://arxiv.org/abs/1710.09435) and its adv…☆82Updated 6 years ago
- ☆58Updated 2 years ago