Data Poisoning

Data Poisoning - Data Poisoning is a type of adversarial attack where malicious actors intentionally alter or manipulate the training data of a machine learning model to compromise its integrity and performance. This can lead to the model learning incorrect patterns or making erroneous predictions.

Class Information

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Identification

Label (rdfs)
Data Poisoning
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Alternative Labels
Adversarial Data Manipulation, Dataset Compromise, Malicious Data Tampering, Poisoning Attack, Training Data Corruption
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Definition and Examples

Definition
Data Poisoning is a type of adversarial attack where malicious actors intentionally alter or manipulate the training data of a machine learning model to compromise its integrity and performance. This can lead to the model learning incorrect patterns or making erroneous predictions.
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Deprecated
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