IQSeC-Lab/MADAR
收藏Hugging Face2025-10-20 更新2025-11-01 收录
下载链接：
https://hf-mirror.com/datasets/IQSeC-Lab/MADAR
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资源简介：
MADAR是一个用于评估恶意软件分类中持续学习方法的有效性的基准测试套件。它包含现实的数据分布转移，并支持域增量学习(Domain-IL)和类增量学习(Class-IL)等场景。该数据集包括来自EMBER-Domain和AZ-Domain的两个主要来源的精选样本。
MADAR is a benchmark suite for evaluating the effectiveness of continual learning methods in malware classification. It includes realistic data distribution shifts and supports scenarios such as Domain-Incremental Learning (Domain-IL) and Class-Incremental Learning (Class-IL). The dataset consists of curated samples from two primary sources: EMBER-Domain and AZ-Domain.
提供机构：
IQSeC-Lab
