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

Metadata Updated: September 30, 2025

TrojAI cyber-apk-nov2023 Train DatasetThis 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.

Access & Use Information

Public: This dataset is intended for public access and use. License: See this page for license information.

Downloads & Resources

Dates

Metadata Created Date September 30, 2025
Metadata Updated Date September 30, 2025

Metadata Source

Harvested from Commerce Non Spatial Data.json Harvest Source

Additional Metadata

Resource Type Dataset
Metadata Created Date September 30, 2025
Metadata Updated Date September 30, 2025
Publisher National Institute of Standards and Technology
Maintainer
Identifier ark:/88434/mds2-3163
Data First Published 2024-02-21
Language en
Data Last Modified 2023-07-22 00:00:00
Category Information Technology:Software research, Information Technology:Cybersecurity
Public Access Level public
Bureau Code 006:55
Metadata Context https://project-open-data.cio.gov/v1.1/schema/catalog.jsonld
Schema Version https://project-open-data.cio.gov/v1.1/schema
Catalog Describedby https://project-open-data.cio.gov/v1.1/schema/catalog.json
Harvest Object Id 5b03c101-7c32-46da-b87a-eef2cd8e2d33
Harvest Source Id bce99b55-29c1-47be-b214-b8e71e9180b1
Harvest Source Title Commerce Non Spatial Data.json Harvest Source
Homepage URL https://data.nist.gov/od/id/mds2-3163
License https://www.nist.gov/open/license
Program Code 006:045
Source Datajson Identifier True
Source Hash 06ee0542187d7efc411f485e49dd3689a9569deb79bfa24ef89f71c062358315
Source Schema Version 1.1

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