Trojan Detection Software Challenge - Leftovers
This collection of AI models consists of the trained yet unreleased models constructed for the TrojAI program. These models were not required for the published round they come from for some reason. Some were simply extras, others did not meet the release criteria for accuracy or trojan attack success rate, or other reasons. These models should not be considered high quality. They might be poorly trained and unfit for their stated purpose. Examine the metadata released with each model to determine whether you can leverage it.
Complete Metadata
| @type | dcat:Dataset |
|---|---|
| accessLevel | public |
| bureauCode |
[
"006:55"
]
|
| contactPoint |
{
"fn": "Michael Paul Majurski",
"hasEmail": "mailto:michael.majurski@nist.gov"
}
|
| description | This collection of AI models consists of the trained yet unreleased models constructed for the TrojAI program. These models were not required for the published round they come from for some reason. Some were simply extras, others did not meet the release criteria for accuracy or trojan attack success rate, or other reasons. These models should not be considered high quality. They might be poorly trained and unfit for their stated purpose. Examine the metadata released with each model to determine whether you can leverage it. |
| distribution |
[
{
"title": "TrojAI Leftovers",
"accessURL": "https://drive.google.com/drive/folders/1aajbFNn3njowHsWDI4kJ4cfM3n_8rVTV?usp=sharing"
}
]
|
| identifier | ark:/88434/mds2-3764 |
| issued | 2025-05-30 |
| keyword |
[
"Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;"
]
|
| language |
[
"en"
]
|
| license | https://www.nist.gov/open/license |
| modified | 2025-03-17 00:00:00 |
| programCode |
[
"006:045"
]
|
| publisher |
{
"name": "National Institute of Standards and Technology",
"@type": "org:Organization"
}
|
| theme |
[
"Information Technology:Cybersecurity",
"Information Technology:Software research"
]
|
| title | Trojan Detection Software Challenge - Leftovers |
