{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,14]],"date-time":"2026-04-14T03:56:56Z","timestamp":1776139016636,"version":"3.50.1"},"reference-count":56,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","issue":"10","license":[{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,10,1]],"date-time":"2022-10-01T00:00:00Z","timestamp":1664582400000},"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":["IIEEE Trans. Software Eng."],"published-print":{"date-parts":[[2022,10,1]]},"DOI":"10.1109\/tse.2021.3114353","type":"journal-article","created":{"date-parts":[[2021,9,21]],"date-time":"2021-09-21T20:13:45Z","timestamp":1632255225000},"page":"4167-4180","source":"Crossref","is-referenced-by-count":28,"title":["RNN-Test: Towards Adversarial Testing for Recurrent Neural Network Systems"],"prefix":"10.1109","volume":"48","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-6872-6383","authenticated-orcid":false,"given":"Jianmin","family":"Guo","sequence":"first","affiliation":[{"name":"Key Laboratory for Information System Security, Ministry of Education, School of Software, and the Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"}]},{"given":"Quan","family":"Zhang","sequence":"additional","affiliation":[{"name":"Key Laboratory for Information System Security, Ministry of Education, School of Software, and the Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"}]},{"given":"Yue","family":"Zhao","sequence":"additional","affiliation":[{"name":"Huawei Technologies Company, Ltd., Shenzhen, Guangdong, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-9040-7247","authenticated-orcid":false,"given":"Heyuan","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Software, Tsinghua University, Beijing, China"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0955-503X","authenticated-orcid":false,"given":"Yu","family":"Jiang","sequence":"additional","affiliation":[{"name":"Key Laboratory for Information System Security, Ministry of Education, School of Software, and the Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing, China"}]},{"given":"Jiaguang","family":"Sun","sequence":"additional","affiliation":[{"name":"School of Software, Tsinghua University, Beijing, China"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3065386"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1145\/1390156.1390177"},{"issue":"6","key":"ref3","first-page":"82","article-title":"Deep neural networks for acoustic modeling in speech recognition","volume-title":"IEEE Signal Process. Mag.","volume":"29","author":"Hinton","year":"2012"},{"key":"ref4","article-title":"End to end learning for self-driving cars","author":"Bojarski","year":"2016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1146\/annurev-bioeng-071516-044442"},{"key":"ref6","article-title":"Intriguing properties of neural networks","author":"Szegedy","year":"2013"},{"key":"ref7","article-title":"Explaining and harnessing adversarial examples","author":"Goodfellow","year":"2015","journal-title":"Proc. 3rd Int. Conf. Learn. Representations"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2016.36"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.282"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1145\/3132747.3132785"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238172"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1145\/3238147.3238202"},{"key":"ref13","article-title":"Convolutional networks for images, speech, and time series","volume-title":"The Handbook of Brain Theory and Neural Networks","author":"LeCun","year":"1995"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1080\/095400999116340"},{"key":"ref15","article-title":"Very deep convolutional networks for large-scale image recognition","volume-title":"Proc. 3rd Int. Conf. Learn. Representations","author":"Simonyan"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.90"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2011.5947611"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/ICASSP.2013.6638947"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.24963\/ijcai.2018\/601"},{"key":"ref20","article-title":"Towards crafting text adversarial samples","author":"Samanta","year":"2017"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1145\/3338906.3338954"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/TR.2021.3080664"},{"key":"ref23","article-title":"TensorFuzz: Debugging neural networks with coverage-guided fuzzing","author":"Odena","year":"2018"},{"key":"ref24","doi-asserted-by":"publisher","DOI":"10.1109\/SPW.2018.00009"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1215"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1145\/3180155.3180220"},{"key":"ref27","article-title":"Variant of PTB word LM that could save and restore the model and display the predictions","year":"2016"},{"key":"ref28","article-title":"A seq2seq model that can correct spelling mistakes","year":"2017"},{"key":"ref29","article-title":"Deep speech: Scaling up end-to-end speech recognition","author":"Hannun","year":"2014"},{"key":"ref30","article-title":"Implementing LSTM and GRU networks using tensorflow (Section 21)","year":"2018"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1145\/3236024.3264835"},{"key":"ref32","article-title":"Understanding inputs and training process of LSTM","year":"2019"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"ref34","article-title":"Recurrent neural network regularization","author":"Zaremba","year":"2014"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1179"},{"key":"ref36","doi-asserted-by":"publisher","DOI":"10.1109\/ISSRE.2018.00021"},{"key":"ref37","article-title":"Crafting adversarial examples for speech paralinguistics applications","author":"Gong","year":"2017"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/MILCOM.2016.7795300"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1007\/978-94-010-0201-1_1"},{"key":"ref41","article-title":"Tatoeba is a collection of sentences and translations","year":"2006"},{"key":"ref42","article-title":"Common voice is a project to help make voice recognition open to everyone","year":"2017"},{"key":"ref43","article-title":"The MNIST database of handwritten digits","author":"LeCun","year":"1998"},{"key":"ref44","doi-asserted-by":"publisher","DOI":"10.1109\/ICSE-NIER.2019.00031"},{"key":"ref45","doi-asserted-by":"publisher","DOI":"10.1007\/s10479-011-0841-3"},{"key":"ref46","article-title":"There is limited correlation between coverage and robustness for deep neural networks","author":"Dong","year":"2019"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1145\/3368089.3409754"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1145\/3368089.3409671"},{"key":"ref49","article-title":"Bidirectional GRU with attention mechanism on IMDB sentimental analysis dataset","year":"2017"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1109\/SP.2017.49"},{"key":"ref51","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.417"},{"key":"ref52","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.498"},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2019.23138"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/ICDM50108.2020.00037"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1425"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.495"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.590"}],"container-title":["IEEE Transactions on Software Engineering"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/32\/9923560\/09543588.pdf?arnumber=9543588","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,11]],"date-time":"2024-01-11T23:40:45Z","timestamp":1705016445000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9543588\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,10,1]]},"references-count":56,"journal-issue":{"issue":"10"},"URL":"https:\/\/doi.org\/10.1109\/tse.2021.3114353","relation":{},"ISSN":["0098-5589","1939-3520","2326-3881"],"issn-type":[{"value":"0098-5589","type":"print"},{"value":"1939-3520","type":"electronic"},{"value":"2326-3881","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,10,1]]}}}