Author:
Abdukhamidov Eldor,Abuhamad Mohammed,Juraev Firuz,Chan-Tin Eric,AbuHmed Tamer
Publisher
Springer International Publishing
Reference18 articles.
1. Dabkowski, P., Gal, Y.: Real time image saliency for black box classifiers. arXiv preprint arXiv:1705.07857 (2017)
2. Fong, R.C., Vedaldi, A.: Interpretable explanations of black boxes by meaningful perturbation. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 3429–3437 (2017)
3. Guidotti, R., Monreale, A., Ruggieri, S., Turini, F., Giannotti, F., Pedreschi, D.: A survey of methods for explaining black box models. ACM Comput. Surv. 51(5), 1–42 (2018)
4. He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770–778 (2016)
5. He, Y., Meng, G., Chen, K., Hu, X., He, J.: Towards security threats of deep learning systems: a survey. IEEE Trans. Softw. Eng. 1 (2020)
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