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Trojan Detection Software Challenge - image-classification-sep2022-train

Metadata Updated: September 30, 2023

Round 11 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of image classification AIs trained on synthetic image data build from Cityscapes. 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 288 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 September 30, 2023
Data Update Frequency irregular

Metadata Source

Harvested from NIST

Additional Metadata

Resource Type Dataset
Metadata Created Date May 9, 2023
Metadata Updated Date September 30, 2023
Publisher National Institute of Standards and Technology
Maintainer
Identifier ark:/88434/mds2-2831
Data First Published 2023-04-07
Language en
Data Last Modified 2022-10-24 00:00:00
Category Information Technology:Cybersecurity, Information Technology:Software research
Public Access Level public
Data Update Frequency irregular
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 3f400fbc-cd4b-4298-83ec-a03c794b44a2
Harvest Source Id 74e175d9-66b3-4323-ac98-e2a90eeb93c0
Harvest Source Title NIST
Homepage URL https://data.nist.gov/od/id/mds2-2831
License https://www.nist.gov/open/license
Program Code 006:045
Source Datajson Identifier True
Source Hash 638f886b59088fa1a7deee80c12cdca76b2122c87773b2f2badd5d7019951e3e
Source Schema Version 1.1

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