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Found 2 papers, 1 papers with code
Detecting Word-Level Adversarial Text Attacks via SHapley Additive exPlanations
State-of-the-art machine learning models are prone to adversarial attacks”:" Maliciously crafted inputs to fool the model into making a wrong prediction, often with high confidence.
Textual Explanations for Automated Commentary Driving
In this work, a state-of-the-art (SOTA) prediction and explanation model is thoroughly evaluated and validated (as a benchmark) on the new Sense--Assess--eXplain (SAX).
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