[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 2 years ago
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
- Malware detection demo using machine learning.☆25Feb 9, 2018Updated 8 years ago
- Transfer Learning for Image-Based Malware Classification☆47Mar 1, 2022Updated 4 years ago
- Realization of paper: "Generating Adversarial Malware Examples for Black-Box Attacks Based on GAN" 2017☆130Jul 20, 2018Updated 8 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.
- A library for adversarial classifier evasion☆43Dec 4, 2014Updated 11 years ago
- Code for Deep Android Malware Detection paper☆180Nov 25, 2017Updated 8 years ago
- Malware Detection and Classification Using Machine Learning☆348Jun 5, 2017Updated 9 years ago
- Machine Learning-Based Malicious Application Detecting using Low-level Architectural Features☆10Jun 22, 2019Updated 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
- Yossi Mandil & Tomer Gill's Bachelor Degree Final Project under the BIU Cyber Center - Malware & Benign File Classification using Machin…☆10Jun 24, 2018Updated 8 years ago
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆264Nov 22, 2021Updated 4 years ago
- A neural approach to malware detection in portable executables☆82Mar 20, 2023Updated 3 years ago
- ☆32Jul 22, 2022Updated 4 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- A curated resource list of adversarial attacks and defenses for Windows PE malware detection.☆77Sep 2, 2022Updated 4 years ago
- It's a malware detection API for Windows malware utilizing Artificial Neural network.☆20Aug 2, 2024Updated 2 years ago
- A Machine Learning approach for classifying a file as Malicious or Legitimate☆73Oct 10, 2016Updated 10 years ago
- Multi-class malware classification using Deep Learning☆76Oct 3, 2020Updated 6 years ago
- Visualizing malware behavior, and proactive protection using GANs against zero-day attacks.☆40Jul 29, 2018Updated 8 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
- adversarial examples, adversarial malware examples, adversarial malware detection, adversarial deep ensemble, Android malware variants☆58Mar 24, 2023Updated 3 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☆253Nov 27, 2025Updated 11 months 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.
- ☆13Aug 31, 2024Updated 2 years ago
- Generative Adversarial Network to generate malware to evade detection☆15Mar 25, 2023Updated 3 years ago
- ☆27Oct 21, 2020Updated 6 years ago
- Bachelor Thesis for XAMK - Machine Learning Methods for Malware Detection and Classification☆13Jan 29, 2020Updated 6 years ago
- ☆13Dec 8, 2022Updated 3 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
- 基于深度学习的恶意软件检测研究；MalConv;☆120Jun 22, 2022Updated 4 years ago
- Malware detection project on Android devices using machine learning classification algorithms.☆77Jun 13, 2017Updated 9 years ago
- ☆13Jun 15, 2025Updated last year
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆57Mar 11, 2018Updated 8 years ago
- Malware Classification using Machine learning☆79Nov 9, 2024Updated last year
- Open source malware detection program using machine learning algorithms on system call traces.☆21Jan 3, 2018Updated 8 years ago
- A large-scale database of malicious software images☆51Aug 27, 2021Updated 5 years ago
- MAB-Malware an open-source reinforcement learning framework to generate AEs for PE malware. We model this problem as a classic multi-arme…☆55Apr 15, 2025Updated last year
- python program to detect Portable_Executable files as either malicious or legitimate by trying out 5 different classification algorithms …☆11Feb 15, 2017Updated 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…☆97Nov 1, 2018Updated 8 years ago