Combinations of AI Models and XAI Metrics Vulnerable to Record Reconstruction Risk

Author:

Toma Ryotaro,Kikuchi HiroakiORCID

Publisher

Springer Nature Switzerland

Reference38 articles.

1. Rudin, C.: Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead. Nat. Mach. Intell. 1(5), 206–215 (2019)

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3. Sakai, A., et al.: Medical professional enhancement using explainable artificial intelligence in fetal cardiac ultrasound screening. Biomedicines 10(3), 551 (2022)

4. Chen, J., Song, L., Wainwright, M., Jordan, M.: Learning to explain: an information-theoretic perspective on model interpretation. In: 35th International Conference on Machine Learning, Stockholm, Sweden, pp. 882–891. PMLR (2018)

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