21 lines
669 B
Markdown
21 lines
669 B
Markdown
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# Power_adversary
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The code repo for Is Machine Learning in Power Systems Vulnerable?
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Paper accepted to SmartGridComm2018, Workshop on AI in Energy Systems.
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Authors: Yize Chen, Yushi Tan and Deepjyoti Deka
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University of Washington and Los Alamos National Laboratory.
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## Introduction
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We look into the vulnerabilities of ML algorithms in power systems, and craft specific attacks on power systems with different applications.
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## Usage
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To exploit the algorithmic vulnerabilities, we consider the classification and forecasting case in power systems. Directly run the Python files and test the model accuracy before and after the attack.
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Contact: yizechen@uw.edu
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