Dataset with labeled benign and malicious files 🗃️
☆161Jul 19, 2023Updated 3 years ago
Alternatives and similar repositories for DikeDataset
Users that are interested in DikeDataset are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Benign .NET files☆46Aug 23, 2024Updated 2 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 …☆96Jul 13, 2026Updated last month
- DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness (ICLR 2024)☆16Apr 22, 2024Updated 2 years ago
- Code for the AsiaCCS 2021 paper: "Malware makeover: Breaking ML-based static analysis by modifying executable bytes"☆57May 14, 2024Updated 2 years ago
- Public datasets of malware and benign executable files (Windows EXE files). The dataset can be used by cybersecurity researchers focusing…☆28Jul 25, 2023Updated 3 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.
- [code] "CFGExplainer: Explaining Graph Neural Network-Based Malware Classification from Control Flow Graphs" by Jerome Dinal Herath, Prit…☆40Aug 2, 2022Updated 4 years ago
- Elastic Malware Benchmark for Empowering Researchers☆1,169Nov 22, 2024Updated last year
- Code for "MalGraph: Hierarchical Graph Neural Networks for Robust Windows Malware Detection"☆52Jan 10, 2022Updated 4 years ago
- ☆22Sep 5, 2022Updated 3 years ago
- Create adversarial attacks against machine learning Windows malware detectors☆249Nov 27, 2025Updated 9 months ago
- Classifying Sequences of Extreme Length with Constant Memory Applied to Malware Detection☆79Oct 8, 2025Updated 10 months ago
- An RNN-based framework to evade opensource anti-virus which is also deep learning-based. E.g., MalConv and Non-Negative MalConv.☆13Jun 4, 2020Updated 6 years ago
- 👾 A list of malware and benign datasets for malware research☆48Jan 31, 2026Updated 7 months ago
- A neural approach to malware detection in portable executables☆81Mar 20, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Malware dataset for security researchers, data scientists. Public malware dataset generated by Cuckoo Sandbox based on Windows OS API cal…☆262Nov 22, 2021Updated 4 years ago
- This project is Malware detection API using ML and CNN techniques☆25Apr 29, 2023Updated 3 years ago
- ☆19Apr 4, 2021Updated 5 years ago
- ☆52Feb 26, 2024Updated 2 years ago
- Dataset of packed PE samples☆51Jan 24, 2026Updated 7 months ago
- ☆15Feb 28, 2020Updated 6 years ago
- ☆11Jun 15, 2022Updated 4 years ago
- Defense from the 2020 Microsoft Evasion Competition☆17Apr 27, 2021Updated 5 years ago
- Transformer Neural Network for Dynamic Malware Detection☆42Mar 5, 2026Updated 5 months ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Code from the paper: Neurlux: Dynamic Malware Analysis Without Feature Engineering☆13Dec 27, 2020Updated 5 years ago
- ☆11Jul 8, 2024Updated 2 years ago
- ☆28Oct 21, 2020Updated 5 years ago
- Effects of packers on machine-learning-based malware classifiers that use only static analysis☆90Jun 17, 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
- Official Repository of "Robust Malware Classification via Deep Graph Networks on Call Graph Topologies" (ESANN 2021)☆14Jun 16, 2023Updated 3 years ago
- Economics of Ransomware | Dataset☆15May 2, 2018Updated 8 years ago
- Code for the paper "EMBERSim: A Large-Scale Databank for Boosting Similarity Search in Malware Analysis"☆41Oct 5, 2023Updated 2 years ago
- ☆14Dec 30, 2021Updated 4 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- adversarial malware detection via a principled way☆24Apr 27, 2023Updated 3 years ago
- Gadget displacement on top of IPR (In-Place Randomization) against Code Reuse Attack☆26May 31, 2016Updated 10 years ago
- An attempt to detect malware using Opcodes and Hexadecimal Instructions.☆33Sep 6, 2021Updated 4 years ago
- This GitHub repository contains an implementation of a malware classification/detection system using Convolutional Neural Networks (CNNs)…☆46Jul 19, 2023Updated 3 years ago
- Malware Bypass Research using Reinforcement Learning☆109Apr 22, 2024Updated 2 years ago
- [AdvML@KDD 2019] Robust Malware Detection Challenge☆18Nov 28, 2019Updated 6 years ago
- ☆28Nov 22, 2021Updated 4 years ago