UC Irvine

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Graph related to LIME and SHAP methods
UC Irvine

Bias Goes Undercover: Adversarial attacks can fool explainable AI techniques.

As black-box algorithms like neural networks find their way into high-stakes fields such as transportation, healthcare, and finance, researchers have developed techniques to help explain models’ decisions. New findings show that some of these methods can be fooled.

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