Trojan Detection Software Challenge - Round 2 Test Dataset

The data being generated and disseminated is the test data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform a variety of tasks (image classification, natural language processing, etc.). 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 144 trained, human level, image classification AI models using a variety of model architectures. The models were trained on synthetically created image data of non-real traffic signs superimposed on road background scenes. Half (50%) of the models have been poisoned with an embedded trigger which causes misclassification of the images when the trigger is present.

Data and Resources

Field Value
accessLevel public
accrualPeriodicity irregular
bureauCode {006:55}
catalog_@context https://project-open-data.cio.gov/v1.1/schema/data.json
catalog_conformsTo https://project-open-data.cio.gov/v1.1/schema
catalog_describedBy https://project-open-data.cio.gov/v1.1/schema/catalog.json
identifier ark:/88434/mds2-2321
issued 2020-10-30
landingPage https://data.nist.gov/od/id/mds2-2321
language {en}
license https://www.nist.gov/open/license
modified 2020-10-23 00:00:00
programCode {006:045}
publisher National Institute of Standards and Technology
resource-type Dataset
source_datajson_identifier true
source_hash 86551c660872a57ea1e1236e3b70db2bd99c5d66
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theme {"Information Technology:Software research","Information Technology:Cybersecurity","Information Technology:Computational science"}
Groups
  • AmeriGEOSS
  • National Provider
  • North America
Tags
  • amerigeo
  • amerigeoss
  • ckan
  • geo
  • geoss
  • national
  • north-america
  • trojan-detection-artificial-intelligence-ai-machine-learning-adversarial-machine-learning
  • united-states
isopen False
license_id other-license-specified
license_title other-license-specified
maintainer Michael Paul Majurski
maintainer_email michael.majurski@nist.gov
metadata_created 2025-11-20T07:41:04.286464
metadata_modified 2025-11-20T07:41:04.286469
notes The data being generated and disseminated is the test data used to evaluate trojan detection software solutions. This data, generated at NIST, consists of human level AIs trained to perform a variety of tasks (image classification, natural language processing, etc.). 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 144 trained, human level, image classification AI models using a variety of model architectures. The models were trained on synthetically created image data of non-real traffic signs superimposed on road background scenes. Half (50%) of the models have been poisoned with an embedded trigger which causes misclassification of the images when the trigger is present.
num_resources 5
num_tags 9
title Trojan Detection Software Challenge - Round 2 Test Dataset