Identification
- Label (rdfs)
- Evasion Attack
- Preferred Label
- Adversarial Evasion
- Alternative Labels
- Deceptive Input Attack, Evasion, Misclassification Attack
- Identifier
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Definition and Examples
- Definition
- An evasion attack is one of the most common attacks on machine learning models performed during production. It involves designing an input that appears normal to a human but is misclassified by ML models, affecting their behavior; a typical example includes altering pixels in an image to cause an image recognition system to fail in classification.
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Translations
Class Relationships
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- Is Defined By
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- See Also
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Additional Information
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- Description
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- Notes
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- Deprecated
- False
Metadata
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- Editorial Note
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- In Scheme
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