{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,7,11]],"date-time":"2026-07-11T22:06:06Z","timestamp":1783807566517,"version":"3.55.0"},"publisher-location":"California","reference-count":0,"publisher":"International Joint Conferences on Artificial Intelligence Organization","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2019,8]]},"abstract":"<jats:p>We propose a method to generate audio adversarial examples that can attack a state-of-the-art speech recognition model in the physical world.\u00a0Previous work assumes that generated adversarial examples are directly fed to the recognition model, and is not able to perform such a physical attack because of reverberation and noise from playback environments.\u00a0In contrast, our method obtains robust adversarial examples by simulating transformations caused by playback or recording in the physical world and incorporating the transformations into the generation process.\u00a0Evaluation and a listening experiment demonstrated that our adversarial examples are able to attack without being noticed by humans.\u00a0This result suggests that audio adversarial examples generated by the proposed method may become a real threat.<\/jats:p>","DOI":"10.24963\/ijcai.2019\/741","type":"proceedings-article","created":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:46:05Z","timestamp":1564299965000},"page":"5334-5341","source":"Crossref","is-referenced-by-count":87,"title":["Robust Audio Adversarial Example for a Physical Attack"],"prefix":"10.24963","author":[{"given":"Hiromu","family":"Yakura","sequence":"first","affiliation":[{"name":"University of Tsukuba"},{"name":"RIKEN Center for Advanced Intelligence Project"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jun","family":"Sakuma","sequence":"additional","affiliation":[{"name":"University of Tsukuba"},{"name":"RIKEN Center for Advanced Intelligence Project"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"10584","event":{"name":"Twenty-Eighth International Joint Conference on Artificial Intelligence {IJCAI-19}","theme":"Artificial Intelligence","location":"Macao, China","acronym":"IJCAI-2019","number":"28","sponsor":["International Joint Conferences on Artificial Intelligence Organization (IJCAI)"],"start":{"date-parts":[[2019,8,10]]},"end":{"date-parts":[[2019,8,16]]}},"container-title":["Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence"],"original-title":[],"deposited":{"date-parts":[[2019,7,28]],"date-time":"2019-07-28T07:51:29Z","timestamp":1564300289000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.ijcai.org\/proceedings\/2019\/741"}},"subtitle":[],"proceedings-subject":"Artificial Intelligence Research Articles","short-title":[],"issued":{"date-parts":[[2019,8]]},"references-count":0,"URL":"https:\/\/doi.org\/10.24963\/ijcai.2019\/741","relation":{},"subject":[],"published":{"date-parts":[[2019,8]]}}}