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Trojan Detection Software Challenge - cyber-apk-nov2023-holdout

Data provided by  National Institute of Standards and Technology

TrojAI cyber-apk-nov2023 Holdout Dataset

This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of small feed forward multi-layer perceptron type neural network models classifying APK feature vectors as malware or clean. 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.

About this Dataset

Updated: 2026-09-19
Metadata Last Updated: 2023-07-22 00:00:00
Date Created: N/A
Data Provided by:
Dataset Owner: N/A

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Table representation of structured data
Title Trojan Detection Software Challenge - cyber-apk-nov2023-holdout
Description TrojAI cyber-apk-nov2023 Holdout Dataset This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of small feed forward multi-layer perceptron type neural network models classifying APK feature vectors as malware or clean. 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.
Modified 2023-07-22 00:00:00
Publisher Name National Institute of Standards and Technology
Contact mailto:[email protected]
Keywords Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning; 
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    "theme": [
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