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(ICCV)","first-page":"1369","article-title":"Adversarial examples for semantic segmentation and object detection","author":"Xie","year":"Oct. 22\u201329, 2017"},{"key":"ref21","unstructured":"Y. Li, D. Tian, M. Chang, X. Bian, and S. Lyu, \u201cRobust adversarial perturbation on deep proposal-based models,\u201d 2018, arXiv:1809.05962."},{"key":"ref22","series-title":"Proc. 2020 Second IEEE Int. Conf. Trust, Priv. Secur. Intell. Syst. Appl. (TPS-ISA)","first-page":"263","article-title":"Adversarial objectness gradient attacks in real-time object detection systems","author":"Chow","year":"Oct. 28\u201331, 2020"},{"key":"ref23","series-title":"Proc. 28th Int. Joint Conf. Artif. Intell.","first-page":"954","article-title":"Transferable adversarial attacks for image and video object detection","author":"Wei","year":"Aug. 10\u201316, 2018"},{"key":"ref24","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"4312","article-title":"Evading defenses to transferable adversarial examples by translation-invariant attacks","author":"Dong","year":"Jun. 16\u201320, 2019"},{"key":"ref25","series-title":"Proc. IEEE Conf. Comput. Vis. Pattern Recognit.","first-page":"9185","article-title":"Boosting adversarial attacks with momentum","author":"Dong","year":"Jun. 18\u201322, 2018"},{"key":"ref26","series-title":"Proc. 8th Int. Conf. Learn. Rep. (ICLR 2020)","first-page":"1","article-title":"Nesterov accelerated gradient and scale invariance for adversarial attacks","author":"Lin","year":"Apr. 26\u2013May 01, 2019"},{"key":"ref27","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"1924","article-title":"Enhancing the transferability of adversarial attacks through variance tuning","author":"Wang","year":"Jun. 19\u201325, 2021"},{"key":"ref28","series-title":"Proc. IEEE\/CVF Conf. Comput. Vis. Pattern Recognit. (CVPR)","first-page":"641","article-title":"Towards transferable targeted attack","author":"Li","year":"Jun. 24, 2020"},{"key":"ref29","series-title":"Proc. 2018 Int. Conf. Expo. Electric. Power Eng. (EPE)","first-page":"165","article-title":"Faster R-CNN: An approach to real-time object detection","author":"Gavrilescu","year":"Oct. 18\u201319, 2018"},{"key":"ref30","doi-asserted-by":"crossref","first-page":"1137","DOI":"10.1109\/TPAMI.2016.2577031","article-title":"Faster R-CNN: Towards real-time object detection with region proposal networks","volume":"39","author":"Ren","year":"2016","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"ref31","series-title":"Proc. IEEE Int. Conf. Comput. Vis. (ICCV)","first-page":"2961","article-title":"Mask R-CNN","author":"He","year":"Oct. 22\u201329, 2017"},{"key":"ref32","unstructured":"J. Redmon and A. Farhadi, \u201cYOLOv3: An incremental improvement,\u201d 2018. Accessed: Mar. 15, 2024. [Online]. Available: http:\/\/personeltest.ru\/aways\/pjreddie.com\/media\/files\/papers\/YOLOv3.pdf"},{"key":"ref33","series-title":"Proc. IEEE Conf. COMPUTER Vis. Pattern Recognit. (CVPR)","first-page":"779","article-title":"You only look once: Unified, real-time object detection","author":"Redmon","year":"Jun. 26\u2013Jul. 1, 2016"},{"key":"ref34","series-title":"Proc. 2017 IEEE Int. Conf. Multimed. Expo Workshops (ICMEW)","first-page":"549","article-title":"Inception single shot multibox detector for object detection","author":"Ning","year":"Jul. 10\u201314, 2017"},{"key":"ref35","series-title":"Proc. IEEE Int. Conf. Comput. Vis. (ICCV)","first-page":"2980","article-title":"Focal loss for dense object detection","author":"Lin","year":"Oct. 22\u201329, 2017"},{"key":"ref36","series-title":"Proc. IEEE\/CVF Int. Conf. Comput. Vis. 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