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English
Noun
data poisoning (countable and uncountable, plural data poisonings)
- (machine learning, computer security) The deliberate use of a training dataset with data designed to increase errors in the output of a machine learning model.
- Synonym: poisoning attack
2019, Simon N. Foley, editor, Data and Applications Security and Privacy XXXIII , Springer, →ISBN, page 4:While data sanitization shows promise to defend against data poisoning, it is often impossible to validate every data source [14].
2022, Alfred Z. Spector, Peter Norvig, Chris Wiggins, Jeannette M. Wing, Data Science in Context: Foundations, Challenges, Opportunities, Cambridge University Press, →ISBN, page 148:Similarly, the Tay chatbot suffered from data poisoning. To mitigate data poisoning, it is important not to let any one group contribute too much data to a model.
2023, Katharine Jarmul, Practical Data Privacy, O'Reilly, →ISBN:Data poisoning is one type of adversarial attack—where a user or group of users submit false data to influence the model toward a particular or incorrect prediction.
2023, Paul Scharre, Four Battlegrounds: Power in the Age of Artificial Intelligence, W. W. Norton & Company, →ISBN:Some forms of data poisoning are undetectable. Attackers can insert adversarial noise into the training data, altering the training data in a way that is hidden to human observers.