ember-dataset

Here are 6 public repositories matching this topic...

Slaymish / malware-classifier-backdoors

Implementation of backdoor attacks and defenses in malware classification using machine learning models.

python machine-learning cybersecurity lightgbm model-evaluation malware-classification backdoor-attacks data-poisoning ember-dataset

Updated Oct 6, 2025
Python

ivanCipriano / Robust-Malware-Detection-Framework

Star

End-to-end PE malware detection with XGBoost and MalConv2. Adversarial robustness evaluation via GAMMA attack, SHAP interpretability, and multi-model Pareto comparison.

Updated Jul 20, 2026
Python

Anish-530 / EMBERGuard

Star

An end-to-end malware detection pipeline leveraging multiple machine learning models, ensemble learning, and explainable AI techniques to accurately classify malicious and benign files. Built using the EMBER 2018 dataset with XGBoost, LightGBM, CatBoost, Neural Networks, and SHAP-based interpretability.

python data-science machine-learning deep-learning neural-network cybersecurity xgboost classification lightgbm ensemble-learning malware-analysis feature-engineering malware-detection security-research catboost explainable-ai threat-detection shap ember-dataset

Updated Jun 5, 2026
Jupyter Notebook

ShahnawazKakarh / forensic-selective-triage

Star

OACSP-Forensics: a cross-modal selective prediction benchmark for digital forensic triage. Applies ordinal-aware class-conditional selective prediction to phishing URLs (PhishTank), malware binaries (EMBER), and memory forensics (CIC-MalMem-2022) with Daubert-aligned evaluation and coverage-risk curves for court-admissible AI triage.