Public Data Resource

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

Contact: Michael Paul Majurski.
Identifier: doi:10.18434/mds2-2831
Version: 1.0...

There is a more recent release of this resource available:    1.0.2

Round 11 Train Dataset

This 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.
Research Areas
NIST R&D: Information Technology: CybersecurityInformation Technology: Software research
Keywords: Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;
These data are public.
Data and related material can be found at the following locations:
Version: 1.0...

There is a more recent release of this resource available:    1.0.2

Cite this dataset
Michael Paul Majurski (2022), Trojan Detection Software Challenge - image-classification-sep2022-train, National Institute of Standards and Technology, https://doi.org/10.18434/mds2-2831 (Accessed 2025-03-21)
Repository Metadata
Machine-readable descriptions of this dataset are available in the following formats:
NERDm
Access Metrics
Metrics data is not available for all datasets, including this one. This may be because the data is served via servers external to this repository.