{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,14]],"date-time":"2026-05-14T10:39:58Z","timestamp":1778755198285,"version":"3.51.4"},"reference-count":29,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,10,11]],"date-time":"2022-10-11T00:00:00Z","timestamp":1665446400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,11]],"date-time":"2022-10-11T00:00:00Z","timestamp":1665446400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2022,10,11]]},"DOI":"10.1109\/aipr57179.2022.10092200","type":"proceedings-article","created":{"date-parts":[[2023,4,10]],"date-time":"2023-04-10T19:01:19Z","timestamp":1681153279000},"page":"1-7","source":"Crossref","is-referenced-by-count":4,"title":["Detecting Physical Adversarial Patch Attacks with Object Detectors"],"prefix":"10.1109","author":[{"given":"Melanie","family":"Jutras","sequence":"first","affiliation":[{"name":"Ops Research MITRE,Bedford,Massachusetts,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ethan","family":"Liang","sequence":"additional","affiliation":[{"name":"AI Security and Perception MITRE,San Diego,California,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Sara","family":"Leary","sequence":"additional","affiliation":[{"name":"Advanced Processing & Exploitation Tech MITRE,McLean,Virginia,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Chris","family":"Ward","sequence":"additional","affiliation":[{"name":"AI Security and Perception MITRE,San Diego,California,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Keith","family":"Manville","sequence":"additional","affiliation":[{"name":"AI Security and Perception MITRE,McLean,Virginia,USA"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","article-title":"Synthesizing robust adversarial examples","volume-title":"International Conference on Machine Learning","author":"Athalye"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58589-1_3"},{"key":"ref3","article-title":"Large scale gan training for high fidelity natural image synthesis","author":"Brock","year":"2018"},{"key":"ref4","article-title":"Adversarial patch","author":"Brown","year":"2017"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-10925-7_4"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01446"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW.2018.00210"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00775"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00080"},{"key":"ref11","article-title":"Adversarial yolo: Defense human detection patch attacks via detecting adversarial patches","author":"Ji","year":"2021"},{"key":"ref12","article-title":"Experimental security research of tesla autopilot","year":"2019"},{"key":"ref13","article-title":"On physical adversarial patches for object detection","author":"Lee","year":"2019"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01455"},{"key":"ref15","article-title":"Dpatch: An adversarial patch attack on object detectors","author":"Liu","year":"2019"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.282"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/WACV.2019.00143"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1016\/j.patcog.2022.109064"},{"key":"ref19","article-title":"Towards imperceptible adversarial image patches based on network explanations","author":"Qian","year":"2020"},{"key":"ref20","first-page":"91","article-title":"Faster r-cnn: Towards real-time object detection with region proposal networks","author":"Ren","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/2976749.2978392"},{"key":"ref22","article-title":"Adversarial patch attacks and defences in vision-based tasks: A survey","author":"Sharma","year":"2022"},{"key":"ref23","article-title":"Intriguing properties of neural networks","author":"Szegedy","year":"2014"},{"key":"ref24","article-title":"Defending object detection networks against adversarial patch attacks","volume-title":"ICCV Workshop on Adversarial Robustness in the Real World (ICCVW)","author":"Gittings"},{"key":"ref25","article-title":"Adversarial training and robustness for multiple perturbations","author":"Tram\u00e8r","year":"2019"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00492"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58548-8_1"},{"key":"ref28","article-title":"Patchguard:Patchguard: A provably robust defense against adversarial patches via small receptive fields and masking","volume-title":"30th USENIX Security Symposium (USENIX Security)","author":"Xiang"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.3027372"}],"event":{"name":"2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)","location":"DC, USA","start":{"date-parts":[[2022,10,11]]},"end":{"date-parts":[[2022,10,13]]}},"container-title":["2022 IEEE Applied Imagery Pattern Recognition Workshop (AIPR)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10091955\/10092198\/10092200.pdf?arnumber=10092200","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,29]],"date-time":"2024-02-29T21:14:47Z","timestamp":1709241287000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10092200\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,11]]},"references-count":29,"URL":"https:\/\/doi.org\/10.1109\/aipr57179.2022.10092200","relation":{},"subject":[],"published":{"date-parts":[[2022,10,11]]}}}