{"id":"https://openalex.org/W4402352208","doi":"https://doi.org/10.1109/ijcnn60899.2024.10649990","title":"A Lightweight Chinese Multimodal Textual Defense Method based on Contrastive-Adversarial Training","display_name":"A Lightweight Chinese Multimodal Textual Defense Method based on Contrastive-Adversarial Training","publication_year":2024,"publication_date":"2024-06-30","ids":{"openalex":"https://openalex.org/W4402352208","doi":"https://doi.org/10.1109/ijcnn60899.2024.10649990"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn60899.2024.10649990","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10649990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5054674052","display_name":"Xiangge Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangge Li","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010337399","display_name":"Hong Luo","orcid":"https://orcid.org/0000-0002-0672-3440"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hong Luo","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5007091805","display_name":"Yan Sun","orcid":"https://orcid.org/0000-0002-8192-9545"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Sun","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876"],"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,School of Computer Science,Beijing,China,100876","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5054674052"],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.12916487,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"32","issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9767000079154968,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9473000168800354,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9157000184059143,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8538855314254761},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7659997344017029},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6017708778381348},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5193315744400024},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49842262268066406},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.42433372139930725}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8538855314254761},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7659997344017029},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6017708778381348},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5193315744400024},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49842262268066406},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.42433372139930725},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn60899.2024.10649990","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/ijcnn60899.2024.10649990","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2022638422","https://openalex.org/W2157331557","https://openalex.org/W2896457183","https://openalex.org/W2912473624","https://openalex.org/W2947415936","https://openalex.org/W2954165282","https://openalex.org/W2963969878","https://openalex.org/W2964132420","https://openalex.org/W2982054702","https://openalex.org/W2996908057","https://openalex.org/W3034797320","https://openalex.org/W3035441470","https://openalex.org/W3035524453","https://openalex.org/W3100315910","https://openalex.org/W3156298872","https://openalex.org/W3156636935","https://openalex.org/W3161905223","https://openalex.org/W3171007011","https://openalex.org/W3174396451","https://openalex.org/W3175362188","https://openalex.org/W3176140329","https://openalex.org/W4285297805","https://openalex.org/W4288359148","https://openalex.org/W4385245566","https://openalex.org/W6730161283","https://openalex.org/W6758737940","https://openalex.org/W6761839128","https://openalex.org/W6764942769","https://openalex.org/W6768021236","https://openalex.org/W6774314701","https://openalex.org/W6795561157","https://openalex.org/W6796455058"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W3204019825"],"abstract_inverted_index":{"Chinese":[0,11,79,99,109],"text":[1,75,100],"Classification":[2],"models":[3,61,77],"are":[4,43],"vulnerable":[5],"to":[6,47,69,92,124],"adversarial":[7,95],"attacks.":[8],"Based":[9],"on":[10,108],"language":[12,80],"features":[13,110],"such":[14,62],"as":[15,63],"phonology":[16],"and":[17,26,111,134],"glyphs,":[18],"attackers":[19],"can":[20],"modify":[21],"serval":[22],"words":[23],"or":[24],"characters":[25],"perturb":[27],"the":[28,31,36,39,48,51,56,59,72,94,125],"results":[29,118],"of":[30,38,50,58,74],"classification":[32,52,76,101],"model":[33,127],"without":[34],"affecting":[35],"semantics":[37],"sentence.":[40],"Adversarial":[41],"examples":[42],"becoming":[44],"serious":[45],"challenges":[46],"robustness":[49,73,96],"model,":[53],"even":[54],"for":[55],"state":[57],"art":[60],"PLMs.":[64],"Therefore,":[65],"it":[66],"is":[67,122],"necessary":[68],"effectively":[70],"improve":[71],"with":[78,114],"features.":[81],"In":[82],"this":[83],"paper,":[84],"we":[85],"propose":[86],"an":[87],"efficient":[88],"defense":[89],"method":[90],"CWordDefender":[91,121],"address":[93],"problem":[97],"in":[98,132],"tasks.":[102],"We":[103],"extract":[104],"multimodal":[105],"information":[106],"based":[107],"fine-tune":[112],"PLMs":[113],"contrastive-adversarial":[115],"learning.":[116],"Experimental":[117],"show":[119],"that":[120],"superior":[123],"baseline":[126],"by":[128],"at":[129],"least":[130],"5%":[131],"accuracy":[133],"has":[135],"lower":[136],"infer":[137],"time.":[138]},"counts_by_year":[],"updated_date":"2025-12-21T01:58:51.020947","created_date":"2025-10-10T00:00:00"}
