[IEEE S&P Workshop 2018] "Adversarial Deep Learning for Robust Detection of Binary Encoded Malware" Abdullah Al-Dujaili, Alex Huang, Erik Hemberg, Una-May O’Reilly
☆110Jul 25, 2024Updated last year
Alternatives and similar repositories for robust-adv-malware-detection
Users that are interested in robust-adv-malware-detection are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Reproduction of the paper//arxiv.org/pdf/1803.04173.pdf☆18May 21, 2018Updated 8 years ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆18Nov 28, 2019Updated 6 years ago
- Firstly, we generate images from benign and malware executable files. Secondly, by using deep learning, we train a model to detect malwar…☆74Nov 10, 2019Updated 6 years ago
- A library for adversarial classifier evasion☆43Dec 4, 2014Updated 11 years ago
- Transfer Learning for Image-Based Malware Classification☆47Mar 1, 2022Updated 4 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆129Jul 20, 2018Updated 7 years ago
- Attempt to use the machine learning workflow to process and transform sampled PE file data to create a prediction model.☆40Apr 2, 2021Updated 5 years ago
- Code for Deep Android Malware Detection paper☆180Nov 25, 2017Updated 8 years ago
- Malware Detection and Classification Using Machine Learning☆347Jun 5, 2017Updated 8 years ago
- Visualizing malware behavior, and proactive protection using GANs against zero-day attacks.☆40Jul 29, 2018Updated 7 years ago
- Multi-class malware classification using Deep Learning☆76Oct 3, 2020Updated 5 years ago
- Hybrid Malicious Code Detection using Deep Learning with Keras and Scikit Learn☆11May 2, 2018Updated 8 years ago
- Create adversarial attacks against machine learning Windows malware detectors☆246Nov 27, 2025Updated 5 months ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆260Nov 22, 2021Updated 4 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆13Dec 8, 2022Updated 3 years ago
- ☆32Jul 22, 2022Updated 3 years ago
- A Machine Learning approach for classifying a file as Malicious or Legitimate☆73Oct 10, 2016Updated 9 years ago
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆58Mar 24, 2023Updated 3 years ago
- Open source malware detection program using machine learning algorithms on system call traces.☆21Jan 3, 2018Updated 8 years ago
- Malware detection project on Android devices using machine learning classification algorithms.☆78Jun 13, 2017Updated 8 years ago
- ☆13Jun 15, 2025Updated 11 months ago
- ☆58Mar 11, 2018Updated 8 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆56May 14, 2024Updated 2 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Generative Adversarial Network to generate malware to evade detection☆15Mar 25, 2023Updated 3 years ago
- Malware Classification using Machine learning☆77Nov 9, 2024Updated last year
- ☆28Oct 21, 2020Updated 5 years ago
- Codes for AICS'2019 challenge problem☆22Oct 13, 2019Updated 6 years ago
- Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification☆172Mar 24, 2023Updated 3 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…☆40Jul 25, 2021Updated 4 years ago
- ☆633Nov 21, 2022Updated 3 years ago
- ☆21Sep 5, 2022Updated 3 years ago
- 基于深度学习的恶意软件检测研究;MalConv;☆120Jun 22, 2022Updated 3 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- ☆13Aug 31, 2024Updated last year
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆52Apr 15, 2025Updated last year
- Machine learning for malware detection☆11Aug 2, 2016Updated 9 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…☆96Nov 1, 2018Updated 7 years ago
- A graph-based deep learning tool that can recognizes the kernel objects from raw memory dumps.☆14Jul 6, 2019Updated 6 years ago
- using Drebin dataset to distinguish between malwares and not malwares☆13Jan 5, 2019Updated 7 years ago
- Kaggle微软恶意代码分类☆151May 23, 2020Updated 6 years ago