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Springer Science and Business Media LLC
Reference38 articles.
1. Alcorn, M., Li, Q., Gong, Z., Wang, C., Mai, L., Ku, W., & Nguyen, A. (2019). Strike (with) a pose: Neural networks are easily fooled by strange poses of familiar objects. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 4845-4854).
2. Akhtar, N., & Mian, A. (2018). Threat of adversarial attacks on deep learning in computer vision: A survey. IEEE Access, 6, 14410–14430.
3. Beebe, J. (2004). The generality problem, statistical relevance and the tri-level hypothesis. Noûs, 38, 177–195.
4. Buolamwini, J., & Gebru, T. (2018). Gender shades: Intersectional accuracy disparities in commercial gender classification. In Conference on fairness, accountability and transparency, PMLR (Vol. 2018, pp. 77–91).
5. Chiang, C., & Yin, M. (2021). You’d better stop! Understanding human reliance on machine learning models under covariate shift. In 13th ACM web science conference 2021 (pp. 120–129).
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