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Trojan Detection Software Challenge - object-detection-feb2023-train

Metadata Updated: March 14, 2025

Round 13 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of object detection AIs trained both on synthetic image data build from Cityscapes and the DOTA_v2 dataset. 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. This dataset consists of 128 AI models using a small set of model architectures. Half (50%) of the models have been poisoned with an embedded trigger which causes misclassification of the input when the trigger is present.

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 May 9, 2023
Metadata Updated Date March 14, 2025

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date May 9, 2023
Metadata Updated Date March 14, 2025
Publisher National Institute of Standards and Technology
Maintainer
Identifier ark:/88434/mds2-2959
Data First Published 2023-04-07
Language en
Data Last Modified 2023-03-16 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/data.json
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 18467658-8569-4c86-8cc8-a83bb66f31f1
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL https://data.nist.gov/od/id/mds2-2959
License https://www.nist.gov/open/license
Program Code 006:045
Source Datajson Identifier True
Source Hash 648a25c927f4e7d5d8ae0758be8ca43b5d4210873790deceb2ecddce3d7a6b80
Source Schema Version 1.1

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