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Trojan Detection Software Challenge - rl-randomized-lavaworld-aug2023-train

Round rl-randomized-lavaworld-aug2023-train Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of Reinforcement Learning agents trained to navigate the Lavaworld Minigrid 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 which trained AI models have been poisoned via embedded triggers.

About this Dataset

Updated: 2024-02-22
Metadata Last Updated: 2023-08-25 00:00:00
Date Created: N/A
Views:
Data Provided by:
Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;
Dataset Owner: N/A

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Table representation of structured data
Title Trojan Detection Software Challenge - rl-randomized-lavaworld-aug2023-train
Description Round rl-randomized-lavaworld-aug2023-train Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of Reinforcement Learning agents trained to navigate the Lavaworld Minigrid 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 which trained AI models have been poisoned via embedded triggers.
Modified 2023-08-25 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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    "description": "Round rl-randomized-lavaworld-aug2023-train Train DatasetThis is the training data used to create and evaluate trojan detection software solutions. This data, generated at NIST, consists of Reinforcement Learning agents trained to navigate the Lavaworld Minigrid 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 which trained AI models have been poisoned via embedded triggers.",
    "language": [
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    "title": "Trojan Detection Software Challenge - rl-randomized-lavaworld-aug2023-train",
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    "modified": "2023-08-25 00:00:00",
    "publisher": {
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        "name": "National Institute of Standards and Technology"
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    "theme": [
        "Information Technology:Cybersecurity",
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    "issued": "2023-09-07",
    "keyword": [
        "Trojan Detection; Artificial Intelligence; AI; Machine Learning; Adversarial Machine Learning;"
    ]
}

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