1. Abadi, M., Barham, P., Chen, J., et al.: Tensorflow: a system for large-scale machine learning. In: 12th USENIX OSDI Symposium, pp. 265–283 (2016)
2. Adadi, A., Berrada, M.: Peeking inside the black-box: a survey on explainable artificial intelligence (xai). IEEE Access 6, 52138–52160 (2018)
3. Adebayo, J., Gilmer, J., Goodfellow, I.J., Kim, B.: Local explanation methods for deep neural networks lack sensitivity to parameter values. CoRR abs/1810.03307 (2018)
4. Adebayo, J., Gilmer, J., Muelly, M., Goodfellow, I., Hardt, M., Kim, B.: Sanity checks for saliency maps. In: Advances in Neural Information Processing Systems, pp. 9505–9515 (2018)
5. Barocas, S., Selbst, A.D., Raghavan, M.: The hidden assumptions behind counterfactual explanations and principal reasons. In: Proceedings of the 2020 Conference on Fairness, Accountability, and Transparency, pp. 80–89 (2020)