IQSeC-Lab/LAMDA
LAMDA: A Longitudinal Android Malware Dataset for Drift Analysis This dataset contains a longitudinal benchmark for Android malware detection designed to analyze and evaluate concept drift in machine learning models. It includes labeled and feature-engineered Android APK data from 2013 to 2025 (excluding 2015), with over 1 million samples collected from real-world sources. Dataset Details LAMDA is the largest and most temporally diverse Android malware dataset to… See the full description on the dataset page: https://huggingface.co/datasets/IQSeC-Lab/LAMDA.
| Author / organization | IQSeC-Lab |
|---|---|
| License (as declared) | mit |
| Downloads | 5.7K (as reported by Hugging Face) |
| Likes | 7 |
| Created | 5 May 2025 |
| Last updated at source | 14 February 2026 |
Recent changes
- 16 Oct 2026 Description: LAMDA: A Longitudinal Android Malware Dataset for Drift Analysis This dataset contains a longitudinal benchmark for Android malware detection designed to analyze and evaluate concept drift in machine learning models. It includes labeled and → LAMDA: A Longitudinal Android Malware Dataset for Drift Analysis This dataset contains a longitudinal benchmark for Android malware detection designed to analyze and evaluate concept drift in machine learning models. It includes labeled and
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