{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:19:46Z","timestamp":1750220386173,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":29,"publisher":"ACM","license":[{"start":{"date-parts":[[2021,7,11]],"date-time":"2021-07-11T00:00:00Z","timestamp":1625961600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"funder":[{"name":"CAS Strategic Priority Research Program","award":["#XDA27030100"],"award-info":[{"award-number":["#XDA27030100"]}]},{"name":"National Key R&D Program of China","award":["#2020AAA0103405"],"award-info":[{"award-number":["#2020AAA0103405"]}]},{"name":"NSFC","award":["#11832001 and #71621002"],"award-info":[{"award-number":["#11832001 and #71621002"]}]}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2021,7,11]]},"DOI":"10.1145\/3404835.3463122","type":"proceedings-article","created":{"date-parts":[[2021,7,12]],"date-time":"2021-07-12T03:08:25Z","timestamp":1626059305000},"page":"1778-1782","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["Robust Neural Text Classification and Entailment via Mixup Regularized Adversarial Training"],"prefix":"10.1145","author":[{"given":"Jiahao","family":"Zhao","sequence":"first","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}]},{"given":"Penghui","family":"Wei","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}]},{"given":"Wenji","family":"Mao","sequence":"additional","affiliation":[{"name":"Institute of Automation, Chinese Academy of Sciences & University of Chinese Academy of Sciences, Beijing, China"}]}],"member":"320","published-online":{"date-parts":[[2021,7,11]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"publisher","DOI":"10.1145\/3397271.3401209"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_5_1","doi-asserted-by":"publisher","DOI":"10.1109\/SPW.2018.00016"},{"key":"e_1_3_2_1_6_1","volume-title":"Explaining and Harnessing Adversarial Examples. In International Conference on Learning Representations. http:\/\/arxiv.org\/abs\/1412","author":"Goodfellow Ian","year":"2015","unstructured":"Ian Goodfellow, Jonathon Shlens, and Christian Szegedy. 2015. Explaining and Harnessing Adversarial Examples. In International Conference on Learning Representations. http:\/\/arxiv.org\/abs\/1412.6572"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i04.5822"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1162\/neco.1997.9.8.1735"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6311"},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"publisher","DOI":"10.14722\/ndss.2019.23138"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"volume-title":"Adversarial Training Methods for Semi-Supervised Text Classification. In International Conference on Learning Representations .","author":"Miyato Takeru","key":"e_1_3_2_1_15_1","unstructured":"Takeru Miyato, Andrew M. Dai, and Ian J. Goodfellow. 2017. Adversarial Training Methods for Semi-Supervised Text Classification. In International Conference on Learning Representations ."},{"key":"e_1_3_2_1_16_1","volume-title":"Jake Grigsby, Di Jin, and Yanjun Qi.","author":"Morris John X.","year":"2020","unstructured":"John X. Morris, Eli Lifland, Jin Yong Yoo, Jake Grigsby, Di Jin, and Yanjun Qi. 2020. TextAttack: A Framework for Adversarial Attacks, Data Augmentation, and Adversarial Training in NLP. arxiv: 2005.05909 [cs.CL]"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Maximilian Mozes Pontus Stenetorp Bennett Kleinberg and Lewis Griffin. 2021. Frequency-Guided Word Substitutions for Detecting Textual Adversarial Examples. 171--186 pages. https:\/\/www.aclweb.org\/anthology\/2021.eacl-main.13","DOI":"10.18653\/v1\/2021.eacl-main.13"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.3115\/1219840.1219855"},{"key":"e_1_3_2_1_19_1","doi-asserted-by":"publisher","DOI":"10.3115\/v1\/D14-1162"},{"key":"e_1_3_2_1_20_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_23_1","volume-title":"Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning. arxiv","author":"Si Chenglei","year":"2012","unstructured":"Chenglei Si, Zhengyan Zhang, Fanchao Qi, Zhiyuan Liu, Yasheng Wang, Qun Liu, and Maosong Sun. 2020. Better Robustness by More Coverage: Adversarial Training with Mixup Augmentation for Robust Fine-tuning. arxiv: 2012.15699 [cs.CL]"},{"key":"e_1_3_2_1_24_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_25_1","volume-title":"Towards a Robust Deep Neural Network in Texts: A Survey. arxiv","author":"Wang Wenqi","year":"1902","unstructured":"Wenqi Wang, Lina Wang, Run Wang, Zhibo Wang, and Aoshuang Ye. 2020. Towards a Robust Deep Neural Network in Texts: A Survey. arxiv: 1902.07285 [cs.CL]"},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1"},{"key":"e_1_3_2_1_27_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=r1Ddp1-Rb","author":"Zhang Hongyi","year":"2018","unstructured":"Hongyi Zhang, Moustapha Cisse, Yann N. Dauphin, and David Lopez-Paz. 2018. mixup: Beyond Empirical Risk Minimization. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=r1Ddp1-Rb"},{"key":"e_1_3_2_1_28_1","volume-title":"International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=8yKEo06dKNo","author":"Zhang Linjun","year":"2021","unstructured":"Linjun Zhang, Zhun Deng, Kenji Kawaguchi, Amirata Ghorbani, and James Zou. 2021. How Does Mixup Help With Robustness and Generalization?. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=8yKEo06dKNo"},{"key":"e_1_3_2_1_29_1","volume-title":"Generating Natural Adversarial Examples. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1BLjgZCb","author":"Zhao Zhengli","year":"2018","unstructured":"Zhengli Zhao, Dheeru Dua, and Sameer Singh. 2018. Generating Natural Adversarial Examples. In International Conference on Learning Representations. https:\/\/openreview.net\/forum?id=H1BLjgZCb"}],"event":{"name":"SIGIR '21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval","sponsor":["SIGIR ACM Special Interest Group on Information Retrieval"],"location":"Virtual Event Canada","acronym":"SIGIR '21"},"container-title":["Proceedings of the 44th International ACM SIGIR Conference on Research and Development in Information Retrieval"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3463122","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3404835.3463122","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:18:30Z","timestamp":1750191510000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3404835.3463122"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,7,11]]},"references-count":29,"alternative-id":["10.1145\/3404835.3463122","10.1145\/3404835"],"URL":"https:\/\/doi.org\/10.1145\/3404835.3463122","relation":{},"subject":[],"published":{"date-parts":[[2021,7,11]]},"assertion":[{"value":"2021-07-11","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}