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Trojan Detection Software Challenge - rl-safetygymnasium-oct2024-train

Data provided by  National Institute of Standards and Technology

This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of RL agents operating in the Safety Gymnasium environment. 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 that trigger behavior in the trained AI models.

About this Dataset

Updated: 2025-11-16
Metadata Last Updated: 2024-10-30 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 - rl-safetygymnasium-oct2024-train
Description This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of RL agents operating in the Safety Gymnasium environment. 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 that trigger behavior in the trained AI models.
Modified 2024-10-30 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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    "title": "Trojan Detection Software Challenge - rl-safetygymnasium-oct2024-train",
    "description": "This is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of RL agents operating in the Safety Gymnasium environment. 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 that trigger behavior in the trained AI models.",
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        "name": "National Institute of Standards and Technology"
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    "theme": [
        "Information Technology:Cybersecurity",
        "Information Technology:Software research"
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    "keyword": [
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