Data Publication

Trojan Detection Software Challenge - cyber-apk-nov2023-train

Achyut Reddy Author's orcid, Derek Juba Author's orcid
Contact: Michael Paul Majurski.
Identifier: doi:10.18434/mds2-3163
Version: 1.0... First Released: 2024-02-21 Revised: 2024-02-21
Abstract
TrojAI cyber-apk-nov2023 Train Dataset

This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of small feed forward multi-layer perceptron type neural network models classifying APK feature vectors as malware or clean. A known percentage of these trained AI models have been poisoned with a known trigger which induces incorrect behavior. This data will be used to develop software solutions for detecting which trained AI models have been poisoned via embedded triggers.
Research Areas
NIST R&D: Information Technology: Software researchInformation Technology: Cybersecurity
Keywords: Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;
Data Access
These data are public.
Data and related material can be found at the following locations:
About This Dataset
Version: 1.0... First Released: 2024-02-21 Revised: 2024-02-21
Cite this dataset
Achyut Reddy, Derek Juba (2023), Trojan Detection Software Challenge - cyber-apk-nov2023-train, National Institute of Standards and Technology, https://doi.org/10.18434/mds2-3163 (Accessed 2025-04-02)
Repository Metadata
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NERDm
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