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Trojan Detection Software Challenge - cyber-pdf-dec2022-train
Round 12 Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of pdf malware classification AIs trained Contaigio dataset feature vectors. 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 120 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.
Complete Metadata
| bureauCode |
[ "006:55" ] |
|---|---|
| identifier | ark:/88434/mds2-2961 |
| issued | 2023-04-07 |
| landingPage | https://data.nist.gov/od/id/mds2-2961 |
| language |
[ "en" ] |
| programCode |
[ "006:045" ] |
| theme |
[ "Information Technology:Cybersecurity", "Information Technology:Software research" ] |
