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README.md

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-license: apache-2.0
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+---
+license: apache-2.0
+---
+
+# EMBER2024 Classifiers
+
+This repository includes 14 LightGBM classifiers trained on different malware analysis tasks, including malicious/benign file detection, malware family identification, and malware behavior prediction. These classifiers were trained and evaluated using the EMBER2024 dataset.
+
+Paper about the classifiers: [https://arxiv.org/pdf/2506.05074](https://arxiv.org/pdf/2506.05074)
+
+GitHub repo for the EMBER2024 dataset: [https://github.com/FutureComputing4AI/EMBER2024/](https://github.com/FutureComputing4AI/EMBER2024/)
+
+## Citing
+
+If you use EMBER2024 in your own research, please cite it using:
+
+```
+@inproceedings{joyce2025ember,
+      title={EMBER2024 - A Benchmark Dataset for Holistic Evaluation of Malware Classifiers},
+      author={Robert J. Joyce and Gideon Miller and Phil Roth and Richard Zak and Elliott Zaresky-Williams and Hyrum Anderson and Edward Raff and James Holt},
+      year={2025},
+      booktitle={Proceedings of the 31st ACM SIGKDD Conference on Knowledge Discovery and Data Mining},
+}