{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T14:11:22Z","timestamp":1730297482695,"version":"3.28.0"},"reference-count":16,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,10,1]],"date-time":"2023-10-01T00:00:00Z","timestamp":1696118400000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100010818","name":"Beijing Information Science and Technology University","doi-asserted-by":"publisher","award":["QXTCP C201906"],"award-info":[{"award-number":["QXTCP C201906"]}],"id":[{"id":"10.13039\/501100010818","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,10,1]]},"DOI":"10.1109\/smc53992.2023.10394175","type":"proceedings-article","created":{"date-parts":[[2024,1,29]],"date-time":"2024-01-29T18:32:04Z","timestamp":1706553124000},"page":"2654-2659","source":"Crossref","is-referenced-by-count":0,"title":["MOBTAG: Multi-Objective Optimization Based Textual Adversarial Example Generation"],"prefix":"10.1109","author":[{"given":"Yuanxin","family":"Qiao","sequence":"first","affiliation":[{"name":"School of Computer Science, Beijing Information Science and Technology University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Ruilin","family":"Xie","sequence":"additional","affiliation":[{"name":"School of Computer Science, Beijing Information Science and Technology University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Li","family":"Li","sequence":"additional","affiliation":[{"name":"School of Computer Science, Beijing Information Science and Technology University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qifan","family":"He","sequence":"additional","affiliation":[{"name":"School of Computer Science, Beijing Information Science and Technology University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Zhanqi","family":"Cui","sequence":"additional","affiliation":[{"name":"School of Computer Science, Beijing Information Science and Technology University,Beijing,China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1109\/TASL.2011.2134090"},{"key":"ref2","first-page":"79","article-title":"Thumbs up? sentiment classification using machine learning techniques[C]","volume-title":"Proceedings of the Conference on Empirical Methods in Natural Language Processing","author":"Pang","year":"2002"},{"key":"ref3","article-title":"Intriguing properties of neural networks[C]","volume-title":"proceedings of the International Conference on Learning Representations","author":"Szegedy","year":"2014"},{"issue":"1","key":"ref4","first-page":"1","article-title":"Approach to generate adversarial examples for face-spoofing detection[J]","volume":"29","author":"Ma","year":"2018","journal-title":"Journal of Software"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6311"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.emnlp-main.500"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2021.naacl-main.400"},{"key":"ref8","article-title":"Character-level convolutional networks for text classification[J]","author":"Zhang","year":"2015","journal-title":"Advances in neural information processing systems"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/N18-1101"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/w18-5446"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/D18-2029"},{"key":"ref12","first-page":"4171","article-title":"BERT: pre-training of deep bidirectional transformers for language understanding[C]","volume-title":"Proceedings of the North American Chapter of the Association for Computational Linguistics","author":"Devlin","year":"2019"},{"key":"ref13","article-title":"DistilBERT, a distilled version of BERT: smaller, faster, cheaper and lighter[C]","volume-title":"the 5th Workshop on Energy Efficient Machine Learning and Cognitive Computing, NeurIPS","author":"Sanh","year":"2019"},{"issue":"8","key":"ref14","first-page":"9","article-title":"Language models are unsupervised multitask learners[J]","volume":"1","author":"Radford","year":"2019","journal-title":"OpenAI blog"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.acl-main.540"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/2020.findings-emnlp.341"}],"event":{"name":"2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)","start":{"date-parts":[[2023,10,1]]},"location":"Honolulu, Oahu, HI, USA","end":{"date-parts":[[2023,10,4]]}},"container-title":["2023 IEEE International Conference on Systems, Man, and Cybernetics (SMC)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10391856\/10393862\/10394175.pdf?arnumber=10394175","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,2,1]],"date-time":"2024-02-01T13:09:47Z","timestamp":1706792987000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10394175\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,10,1]]},"references-count":16,"URL":"https:\/\/doi.org\/10.1109\/smc53992.2023.10394175","relation":{},"subject":[],"published":{"date-parts":[[2023,10,1]]}}}