Toward Faithful Explanations in Acoustic Anomaly Detection

Maab Elrashid, Anthony Deschênes, Cem Subakan +3

Interpretability is essential for user trust in real-world anomaly detection applications. However, deep learning models, despite their strong performance, often lack transparency.…