AI Approach for Autonomous Vehicles to Defend from Adversarial Attacks
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Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-16-7136-4_17
Reference27 articles.
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2. Goodfellow, I.J., Shlens, J., Szegedy, C.: Explaining and harnessing adversarial examples, arXiv preprint arXiv:1412.6572
3. Tabernik, D., Skočaj, D.: Deep learning for large-scale traffic-sign detection and recognition. IEEE Trans. Intell. Transp. Syst. 21(4), 1427–1440 (2019)
4. Pon, A., Adrienko, O., Harakeh, A., Waslander, S.L.: A hierarchical deep architecture and mini-batch selection method for joint traffic sign and light detection. In: 2018 15th Conference on Computer and Robot Vision (CRV), pp. 102–109. IEEE (2018)
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