1. Adebayo, J., Gilmer, J., Muelly, M., Goodfellow, I., Hardt, M., Kim, B.: Sanity checks for saliency maps. In: Proceedings of the NeurIPS, pp. 9525–9536 (2018)
2. Agrawal, T., Gupta, R., Narayanan, S.: On evaluating CNN representations for low resource medical image classification. In: IEEE ICASSP, pp. 1363–1367 (2019)
3. Alber, M., et al.: INNvestigate neural networks! J. Mach. Learn. Res. 20, 1–8 (2019)
4. Alvarez-Melis, D., Jaakkola, T.S.: On the robustness of interpretability methods. In: ICML Workshop on Human Interpretability in Machine Learning (2018)
5. Aouedi, O., Sacco, A., Piamrat, K., Marchetto, G.: Handling privacy-sensitive medical data with federated learning: challenges and future directions. IEEE J. Biomed. Health Inf. 27(2), 790–803 (2023)