{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,2]],"date-time":"2026-06-02T00:02:38Z","timestamp":1780358558377,"version":"3.54.1"},"reference-count":46,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62271432"],"award-info":[{"award-number":["62271432"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Shenzhen Science and Technology Program","award":["ZDSYS20230626091302006"],"award-info":[{"award-number":["ZDSYS20230626091302006"]}]},{"name":"Shenzhen Science and Technology Research Fund"},{"name":"Fundamental Research Key Project","award":["JCYJ20220818103001002"],"award-info":[{"award-number":["JCYJ20220818103001002"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Signal Process. Lett."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/lsp.2024.3443711","type":"journal-article","created":{"date-parts":[[2024,8,15]],"date-time":"2024-08-15T17:54:16Z","timestamp":1723744456000},"page":"2200-2204","source":"Crossref","is-referenced-by-count":10,"title":["Transferable Adversarial Attacks Against ASR"],"prefix":"10.1109","volume":"31","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1920-5228","authenticated-orcid":false,"given":"Xiaoxue","family":"Gao","sequence":"first","affiliation":[{"name":"Institute for Infocomm Research, Agency for Science, Technology, and Research (A*STAR), Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-8758-2151","authenticated-orcid":false,"given":"Zexin","family":"Li","sequence":"additional","affiliation":[{"name":"University of California Riverside, Riverside, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yiming","family":"Chen","sequence":"additional","affiliation":[{"name":"National University of Singapore, Singapore"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Cong","family":"Liu","sequence":"additional","affiliation":[{"name":"University of California Riverside, Riverside, CA, USA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-9158-9401","authenticated-orcid":false,"given":"Haizhou","family":"Li","sequence":"additional","affiliation":[{"name":"Shenzhen Research Institute of Big Data, The Chinese University of Hong Kong, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1017\/CBO9780511624971"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1016\/j.tra.2015.04.003"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/SP40001.2021.00009"},{"key":"ref4","first-page":"2273","article-title":"WaveGuard: Understanding and mitigating audio adversarial examples","volume-title":"Proc. 30th USENIX Secur. Symp.","author":"Hussain","year":"2021"},{"key":"ref5","article-title":"Characterizing audio adversarial examples using temporal dependency","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Yang","year":"2019"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ISSPIT.2018.8642623"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2023-1105"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1007\/978-981-15-9129-7_31"},{"key":"ref10","first-page":"247","article-title":"KENKU: Towards efficient and stealthy black-box adversarial attacks against ASR systems","volume-title":"Proc. 32nd USENIX Secur. Symp.","author":"Wu","year":"2023"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/SPW.2018.00009"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2019\/741"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-400"},{"key":"ref14","doi-asserted-by":"crossref","DOI":"10.14722\/ndss.2019.23288","article-title":"Adversarial attacks against automatic speech recognition systems via psychoacoustic hiding","volume-title":"Proc. 26th Annu. Netw. Distrib. Syst. Secur. Symp.","author":"Schnherr","year":"2019"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2020.23055"},{"key":"ref16","first-page":"5231","article-title":"Imperceptible, robust, and targeted adversarial examples for automatic speech recognition","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Qin","year":"2019"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2022.3222963"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/SP40001.2021.00014"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.48550\/ARXIV.1706.06083"},{"key":"ref20","doi-asserted-by":"publisher","DOI":"10.1201\/9781351251389-8"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01466"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02359"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2023.acl-long.100"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P18-2006"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2019.23138"},{"key":"ref26","first-page":"2667","article-title":"Devils whisper: A general approach for physical adversarial attacks against commercial black-box speech recognition devices","volume-title":"Proc. 29th USENIX Secur. Symp.","author":"Chen","year":"2020"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2019-1353"},{"key":"ref28","article-title":"Demystifying limited adversarial transferability in automatic speech recognition systems","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Abdullah","year":"2021"},{"key":"ref29","first-page":"28492","article-title":"Robust speech recognition via large-scale weak supervision","volume-title":"Proc. Int. Conf. Mach. Learn.","author":"Radford","year":"2023"},{"key":"ref30","first-page":"33","article-title":"Fairseq S2T: Fast speech-to-text modeling with fairseq","volume-title":"Proc. 1st Conf. Asia-Pacific Chapter Assoc. Comput. Linguistics","author":"Wang","year":"2020"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00957"},{"key":"ref32","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00196"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01264-9_28"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.01457"},{"key":"ref35","article-title":"Transferable adversarial attack based on integrated gradients","volume-title":"Proc. Int. Conf. Learn. Representations","author":"Huang","year":"2022"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ISCSLP57327.2022.10037574"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2022-260"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP43922.2022.9746873"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.21437\/interspeech.2022-99"},{"key":"ref40","first-page":"163","article-title":"Optimization and global minimization methods suitable for neural networks","volume":"2","author":"Duch","year":"1998","journal-title":"Neural Comput. Surv."},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.21437\/interspeech.2023-1118"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/icassp.2019.8683713"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.21437\/Interspeech.2018-1456"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2015.7178964"},{"key":"ref45","article-title":"The LJ speech dataset","author":"Ito","year":"2017"},{"key":"ref46","article-title":"MUSAN: A music, speech, and noise corpus","author":"Snyder","year":"2015"}],"container-title":["IEEE Signal Processing Letters"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/97\/10380231\/10637681.pdf?arnumber=10637681","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,9,4]],"date-time":"2024-09-04T05:28:19Z","timestamp":1725427699000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10637681\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":46,"URL":"https:\/\/doi.org\/10.1109\/lsp.2024.3443711","relation":{},"ISSN":["1070-9908","1558-2361"],"issn-type":[{"value":"1070-9908","type":"print"},{"value":"1558-2361","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}