{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T04:18:36Z","timestamp":1750220316264,"version":"3.41.0"},"publisher-location":"New York, NY, USA","reference-count":21,"publisher":"ACM","license":[{"start":{"date-parts":[[2022,1,8]],"date-time":"2022-01-08T00:00:00Z","timestamp":1641600000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2022,1,8]]},"DOI":"10.1145\/3493700.3493705","type":"proceedings-article","created":{"date-parts":[[2022,1,7]],"date-time":"2022-01-07T23:54:21Z","timestamp":1641599661000},"page":"125-129","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":1,"title":["AdvCodeMix: Adversarial Attack on Code-Mixed Data"],"prefix":"10.1145","author":[{"given":"Sourya Dipta","family":"Das","sequence":"first","affiliation":[{"name":"Jadavpur University, IN"}]},{"given":"Ayan","family":"Basak","sequence":"additional","affiliation":[{"name":"Jadavpur University, IN"}]},{"given":"Soumil","family":"Mandal","sequence":"additional","affiliation":[{"name":"University of Texas at Dallas, US"}]},{"given":"Dipankar","family":"Das","sequence":"additional","affiliation":[{"name":"Jadavpur University, IN"}]}],"member":"320","published-online":{"date-parts":[[2022,1,8]]},"reference":[{"key":"e_1_3_2_1_1_1","volume-title":"Proceedings of the 11th International Conference on Natural Language Processing. NLP Association of India","author":"Das Amitava","year":"2014","unstructured":"Amitava Das and Bj\u00f6rn Gamb\u00e4ck. 2014. Identifying Languages at the Word Level in Code-Mixed Indian Social Media Text. In Proceedings of the 11th International Conference on Natural Language Processing. NLP Association of India, Goa, India, 378\u2013387. https:\/\/www.aclweb.org\/anthology\/W14-5152"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1109\/SPW.2018.00016"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Anupam Jamatia Steve Swamy Bj\u00f6rn Gamb\u00e4ck Amitava Das and Swapam Debbarma. 2020. Deep Learning Based Sentiment Analysis in a Code-Mixed English-Hindi and English-Bengali Social Media Corpus. International journal on artificial intelligence tools 29 5(2020).","DOI":"10.1142\/S0218213020500141"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i05.6311"},{"key":"e_1_3_2_1_5_1","volume-title":"Textbugger: Generating adversarial text against real-world applications. arXiv preprint arXiv:1812.05271(2018).","author":"Li Jinfeng","year":"2018","unstructured":"Jinfeng Li, Shouling Ji, Tianyu Du, Bo Li, and Ting Wang. 2018. Textbugger: Generating adversarial text against real-world applications. arXiv preprint arXiv:1812.05271(2018)."},{"key":"e_1_3_2_1_6_1","volume-title":"Bert-attack: Adversarial attack against bert using bert. arXiv preprint arXiv:2004.09984(2020).","author":"Li Linyang","year":"2020","unstructured":"Linyang Li, Ruotian Ma, Qipeng Guo, Xiangyang Xue, and Xipeng Qiu. 2020. Bert-attack: Adversarial attack against bert using bert. arXiv preprint arXiv:2004.09984(2020)."},{"key":"e_1_3_2_1_7_1","unstructured":"Jiaxiang Liu Xuyi Chen Shikun Feng Shuohuan Wang Xuan Ouyang Yu Sun Zhengjie Huang and Weiyue Su. 2020. Kk2018 at SemEval-2020 task 9: Adversarial training for code-mixing sentiment classification. arXiv preprint arXiv:2009.03673(2020)."},{"key":"e_1_3_2_1_8_1","unstructured":"Aleksander Madry Aleksandar Makelov Ludwig Schmidt Dimitris Tsipras and Adrian Vladu. 2017. Towards deep learning models resistant to adversarial attacks. arXiv preprint arXiv:1706.06083(2017)."},{"key":"e_1_3_2_1_9_1","unstructured":"Soumil Mandal Sourya\u00a0Dipta Das and Dipankar Das. 2018. Language identification of bengali-english code-mixed data using character & phonetic based lstm models. arXiv preprint arXiv:1803.03859(2018)."},{"key":"e_1_3_2_1_10_1","unstructured":"Soumil Mandal Sainik\u00a0Kumar Mahata and Dipankar Das. 2018. Preparing bengali-english code-mixed corpus for sentiment analysis of indian languages. arXiv preprint arXiv:1803.04000(2018)."},{"key":"e_1_3_2_1_11_1","doi-asserted-by":"publisher","DOI":"10.1145\/3133956.3134057"},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Daniel Palomino and Jose Ochoa-Luna. 2020. Palomino-Ochoa at SemEval-2020 Task 9: Robust System based on Transformer for Code-Mixed Sentiment Classification. arxiv:2011.09448\u00a0[cs.CL]","DOI":"10.18653\/v1\/2020.semeval-1.124"},{"key":"e_1_3_2_1_13_1","unstructured":"Braja\u00a0Gopal Patra Dipankar Das and Amitava Das. 2018. Sentiment Analysis of Code-Mixed Indian Languages: An Overview of SAIL_Code-Mixed Shared Task@ ICON-2017. arXiv preprint arXiv:1803.06745(2018)."},{"key":"e_1_3_2_1_14_1","volume-title":"Semeval-2020 task 9: Overview of sentiment analysis of code-mixed tweets. arXiv e-prints","author":"Patwa Parth","year":"2020","unstructured":"Parth Patwa, Gustavo Aguilar, Sudipta Kar, Suraj Pandey, Srinivas PYKL, Bj\u00f6rn Gamb\u00e4ck, Tanmoy Chakraborty, Thamar Solorio, and Amitava Das. 2020. Semeval-2020 task 9: Overview of sentiment analysis of code-mixed tweets. arXiv e-prints (2020), arXiv\u20132008."},{"key":"e_1_3_2_1_15_1","doi-asserted-by":"crossref","unstructured":"Telmo Pires Eva Schlinger and Dan Garrette. 2019. How multilingual is multilingual bert?arXiv preprint arXiv:1906.01502(2019).","DOI":"10.18653\/v1\/P19-1493"},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"publisher","DOI":"10.18653\/v1\/P19-1103"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Shikaripur\u00a0N Sridhar and Kamal\u00a0K Sridhar. 1980. The syntax and psycholinguistics of bilingual code mixing.Canadian Journal of Psychology\/Revue canadienne de psychologie 34 4(1980) 407.","DOI":"10.1037\/h0081105"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1007\/s00530-014-0446-1"},{"key":"e_1_3_2_1_19_1","unstructured":"Lichao Sun. 2020. Natural backdoor attack on text data. arXiv preprint arXiv:2006.16176(2020)."},{"key":"e_1_3_2_1_20_1","unstructured":"Samson Tan and Shafiq Joty. 2021. Code-Mixing on Sesame Street: Dawn of the Adversarial Polyglots. arXiv preprint arXiv:2103.09593(2021)."},{"key":"e_1_3_2_1_21_1","unstructured":"Xiang Zhang Junbo Zhao and Yann LeCun. 2015. Character-level convolutional networks for text classification. arXiv preprint arXiv:1509.01626(2015)."}],"event":{"name":"CODS-COMAD 2022: 5th Joint International Conference on Data Science & Management of Data (9th ACM IKDD CODS and 27th COMAD)","sponsor":["SIGGRAPH ACM Special Interest Group on Computer Graphics and Interactive Techniques"],"location":"Bangalore India","acronym":"CODS-COMAD 2022"},"container-title":["Proceedings of the 5th Joint International Conference on Data Science &amp; Management of Data (9th ACM IKDD CODS and 27th COMAD)"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3493700.3493705","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3493700.3493705","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T20:11:51Z","timestamp":1750191111000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3493700.3493705"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,8]]},"references-count":21,"alternative-id":["10.1145\/3493700.3493705","10.1145\/3493700"],"URL":"https:\/\/doi.org\/10.1145\/3493700.3493705","relation":{},"subject":[],"published":{"date-parts":[[2022,1,8]]},"assertion":[{"value":"2022-01-08","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}