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Be Your Own Neighborhood is an AI-powered tool designed for anomaly detection, with a specific focus on detecting adversarial examples. By leveraging neighborhood relations, the tool identifies outliers and anomalies in datasets, ensuring robust and reliable detection of potential threats or irregularities.
What is the primary purpose of Be Your Own Neighborhood?
Be Your Own Neighborhood is primarily designed to detect adversarial examples and anomalies in datasets by analyzing neighborhood relations.
How does the tool detect adversarial examples?
The tool uses advanced algorithms that examine the proximity and relationships between data points to identify outliers, making it effective at detecting adversarial examples.
Why are neighborhood relations important in anomaly detection?
Neighborhood relations help in understanding the context and proximity of data points, allowing the tool to accurately identify anomalies that might otherwise go unnoticed.