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Trojan Detection Software Challenge - nlp-question-answering-sep2021-holdout

Metadata Updated: September 30, 2023

Round 8 Holdout DatasetThis is the training data used to construct and evaluate trojan detection software solutions. This data, generated at NIST, consists of natural language processing (NLP) AIs trained to perform extractive question answering on English text. 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 360 QA 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.

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Metadata Created Date February 3, 2022
Metadata Updated Date September 30, 2023

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date February 3, 2022
Metadata Updated Date September 30, 2023
Publisher National Institute of Standards and Technology
Identifier ark:/88434/mds2-2538
Data First Published 2022-01-26
Language en
Data Last Modified 2021-08-09 00:00:00
Category Information Technology:Software research, Information Technology:Cybersecurity
Public Access Level public
Bureau Code 006:55
Metadata Context
Schema Version
Catalog Describedby
Harvest Object Id 1d1b5a82-2917-4033-819f-5c894e531e8f
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL
Program Code 006:045
Source Datajson Identifier True
Source Hash fb994a4661f5236e5c8ce915973c2be04765f964ba61152315af1bfc8c4cf121
Source Schema Version 1.1

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