{"url":"/dataset/malimg","name":"Malimg","full_name":null,"description_markdown":"The Malimg Dataset contains 9,339 malware byteplot images from 25 different families.","description_withheld":null,"homepage":"https://drive.google.com/file/d/1M83VzyIQj_kuE9XzhClGK5TZWh1T_pr-/view","introduced_date":null,"introduced_date_note":null,"introduced_by":{"paper":"/paper/malware-images-visualization-and-automatic","title":"Malware Images:Visualization and Automatic Classification","first_author":"Nataraj L.","url":null},"license":null,"modalities":[],"tasks":[{"name":"Malware Classification","url":"/task/malware-classification","datasets_with_task":"/datasets/task/malware-classification"},{"name":"Malware Clustering","url":"/task/malware-clustering","datasets_with_task":"/datasets/task/malware-clustering"},{"name":"Malware Family Detection","url":"/task/malware-family-detection","datasets_with_task":"/datasets/task/malware-family-detection"},{"name":"Malware Analysis","url":"/task/malware-analysis","datasets_with_task":"/datasets/task/malware-analysis"}],"languages":[{"name":"English","url":"/datasets/language/english"}],"variants":["Malimg Dataset","Malimg"],"data_loaders":[{"repo":"https://github.com/jenseWang/malware-dataset-Malimg","url":"https://github.com/jenseWang/malware-dataset-Malimg/blob/master/README.md","frameworks":["tf","pytorch"]}],"num_papers_in_archive":6,"source":{"archive":"pwc-archive (Hugging Face), CC BY-SA 4.0","snapshot":"2025-07-28"},"benchmarks":[{"leaderboard":"/sota/malware-classification-on-malimg-dataset","task":"Malware Classification","dataset_variant":"Malimg Dataset","rows":5,"metrics":["Accuracy (10-fold)","Macro F1 (10-fold)","Accuracy","Macro F1"],"first_row_in_archive_order":{"model":"Gray-scale IMG CNN","paper":"/paper/using-convolutional-neural-networks-for-1","metrics":{"Accuracy (10-fold)":"0.9848","Macro F1 (10-fold)":"0.9580"},"code_links":[{"title":"danielgibert/mlw_classification_cnn_img","url":"https://github.com/danielgibert/mlw_classification_cnn_img"}]},"note":"rows are the archive's own order at snapshot; nothing here re-ranks them"}],"papers_with_a_benchmark_row":[{"paper":"/paper/designing-deep-convolutional-neural-networks-1","title":"Designing Deep Convolutional Neural Networks using a Genetic Algorithm for Image-based Malware Classification","date":"2022-07-18","rows_on_this_dataset":1,"code_links":0,"syntology":null},{"paper":"/paper/using-convolutional-neural-networks-for-1","title":"Using Convolutional Neural Networks for Classification of Malware represented as Images","date":"2018-08-27","rows_on_this_dataset":1,"code_links":1,"syntology":null},{"paper":"/paper/towards-building-an-intelligent-anti-malware","title":"Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine (SVM) for Malware Classification","date":"2017-12-31","rows_on_this_dataset":3,"code_links":1,"syntology":null}],"syntology_totals":{"read_at":"2026-09-24T18:15:14+00:00","papers_with_samples":0,"samples_harvested":0,"samples_ran":0,"samples_unverified":0,"pointer_only_for_licence":0,"papers_with_no_sample_that_ran":0,"note":"the per-paper counts above, summed; not a rate"},"papers_note":"The archive never published its papers-using-dataset list; these are papers with a leaderboard row on this dataset's benchmarks."}