{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T05:30:38Z","timestamp":1730266238741,"version":"3.28.0"},"reference-count":31,"publisher":"IEEE","license":[{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2022,7,18]],"date-time":"2022-07-18T00:00:00Z","timestamp":1658102400000},"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":[[2022,7,18]]},"DOI":"10.1109\/ijcnn55064.2022.9892490","type":"proceedings-article","created":{"date-parts":[[2022,9,30]],"date-time":"2022-09-30T19:56:04Z","timestamp":1664567764000},"page":"01-08","source":"Crossref","is-referenced-by-count":2,"title":["MESDeceiver: Efficiently Generating Natural Language Adversarial Examples"],"prefix":"10.1109","author":[{"given":"Tengfei","family":"Zhao","sequence":"first","affiliation":[{"name":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhaocheng","family":"Ge","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Hanping","family":"Hu","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Dingmeng","family":"Shi","sequence":"additional","affiliation":[{"name":"School of Artificial Intelligence and Automation, Huazhong University of Science and Technology"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref31","article-title":"Distilbert, a distilled version of BERT: smaller, faster, cheaper and lighter;","volume":"abs 1910 1108","author":"sanh","year":"2019","journal-title":"CoRR"},{"key":"ref30","article-title":"Language models are unsupervised multitask learners;","author":"radford","year":"2019","journal-title":"OpenAIRE blog"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.1109\/EuroSP.2019.00044"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1103"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-1316"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.540"},{"key":"ref14","first-page":"90","article-title":"Beam-stack search: Integrating backtracking with beam searchz","author":"zhou","year":"0","journal-title":"Proceedings of the Fifteenth International Conference on Automated Planning and Scheduling"},{"journal-title":"The HARPY speech recognition system","year":"1976","author":"lowerre","key":"ref15"},{"key":"ref16","article-title":"Sequence transduction with recurrent neural networks;","volume":"abs 1211 3711","author":"graves","year":"2012","journal-title":"CoRR"},{"key":"ref17","first-page":"1406","article-title":"Scheduling and dispatching: a finite-capacity beam-search-algorithm for production scheduling in semicon-ductor manufacturing;","author":"habenicht","year":"0","journal-title":"Proc 34th Winter Simulation Conference"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1142\/9789812774675"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1145\/219717.219748"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D17-1070"},{"key":"ref4","article-title":"Adversarial machine learning at scale","author":"kurakin","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1181"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2018.2807385"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/ACCESS.2020.2987435"},{"key":"ref29","first-page":"4171","article-title":"BERT: pre-training of deep bidirectional transformers for language understanding;","author":"devlin","year":"2019","journal-title":"North American Chapter Of The Association For Computational Linguistics"},{"key":"ref5","article-title":"Towards a Robust Deep Neural Network in Texts: A Survey","author":"wang","year":"2019","journal-title":"ArXiv e-prints"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1145\/3052973.3053009"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1016\/j.knosys.2019.105210"},{"key":"ref2","article-title":"Intriguing properties of neural networks","author":"szegedy","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref9","article-title":"Natural language adversarial attacks and defenses in word level","volume":"abs 1909 6723","author":"wang","year":"2019","journal-title":"CoRR"},{"key":"ref1","article-title":"Explaining and harnessing adversarial examples","author":"goodfellow","year":"0","journal-title":"International Conference on Learning Representations"},{"key":"ref20","first-page":"417","article-title":"SENTIWORDNET: A publicly available lexical resource for opinion mining;","author":"esuli","year":"2006","journal-title":"Language Resources and Evaluation"},{"key":"ref22","article-title":"A statistical interpretation of term specificity and its application in retrieval;","author":"jones","year":"1972","journal-title":"Journal of Documentation"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1561"},{"key":"ref24","first-page":"1631","article-title":"Recursive deep models for semantic compositionality over a sentiment treebank","author":"socher","year":"2013","journal-title":"Empirical Methods in Natural Language Processing"},{"key":"ref23","first-page":"142","article-title":"Learning word vectors for sentiment analysis;","author":"maas","year":"2011","journal-title":"Association for Computational Linguistics"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D15-1075"},{"key":"ref25","first-page":"649","article-title":"Character-level convolutional networks for text classification;","author":"zhang","year":"0","journal-title":"Annual Conference on Neural Information Processing Systems"}],"event":{"name":"2022 International Joint Conference on Neural Networks (IJCNN)","start":{"date-parts":[[2022,7,18]]},"location":"Padua, Italy","end":{"date-parts":[[2022,7,23]]}},"container-title":["2022 International Joint Conference on Neural Networks (IJCNN)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/9891857\/9889787\/09892490.pdf?arnumber=9892490","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,11,3]],"date-time":"2022-11-03T22:56:40Z","timestamp":1667516200000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/9892490\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,7,18]]},"references-count":31,"URL":"https:\/\/doi.org\/10.1109\/ijcnn55064.2022.9892490","relation":{},"subject":[],"published":{"date-parts":[[2022,7,18]]}}}