{"id":"https://openalex.org/W4411552008","doi":"https://doi.org/10.1109/cscwd64889.2025.11033635","title":"TA: A Chinese Adversarial Samples Generation Approach Based on Multi-Strategy Perturbations","display_name":"TA: A Chinese Adversarial Samples Generation Approach Based on Multi-Strategy Perturbations","publication_year":2025,"publication_date":"2025-05-05","ids":{"openalex":"https://openalex.org/W4411552008","doi":"https://doi.org/10.1109/cscwd64889.2025.11033635"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd64889.2025.11033635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","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/A5046538061","display_name":"Yangyang Ding","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yangyang Ding","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052269317","display_name":"Gaopeng Gou","orcid":"https://orcid.org/0000-0002-3533-4874"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Gaopeng Gou","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5070965266","display_name":"Qingya Yang","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qingya Yang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China"],"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5046538061"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210156404"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07820531,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1412","last_page":"1417"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9521999955177307,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9521999955177307,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.92330002784729,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T12560","display_name":"Nuclear Engineering Thermal-Hydraulics","score":0.9041000008583069,"subfield":{"id":"https://openalex.org/subfields/2202","display_name":"Aerospace Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8699134588241577},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6385080218315125},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.340378999710083}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8699134588241577},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6385080218315125},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.340378999710083}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd64889.2025.11033635","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd64889.2025.11033635","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 28th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.7699999809265137}],"awards":[{"id":"https://openalex.org/G689733681","display_name":null,"funder_award_id":"2024YFF1401301","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"}],"funders":[{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W2799194071","https://openalex.org/W2949128310","https://openalex.org/W2996851481","https://openalex.org/W3018666070","https://openalex.org/W3132424333","https://openalex.org/W3174396451","https://openalex.org/W4381893429","https://openalex.org/W4385734153","https://openalex.org/W4389519410","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6795561157","https://openalex.org/W6856483563","https://openalex.org/W6862008345"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","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"],"abstract_inverted_index":{"While":[0],"adversarial":[1,29],"attacks":[2],"on":[3,11,120],"English":[4],"texts":[5],"have":[6],"been":[7],"extensively":[8],"investigated,":[9],"research":[10],"Chinese":[12,28,41],"language":[13],"scenarios":[14],"remains":[15],"comparatively":[16],"under-developed.":[17],"To":[18],"address":[19],"this":[20],"gap,":[21],"we":[22,45],"present":[23],"TextAttack":[24],"(TA),":[25],"a":[26,47,85,146],"novel":[27],"sample":[30],"generation":[31],"approach":[32],"that":[33,116],"leverages":[34],"the":[35,53,128],"linguistic":[36],"and":[37,71,93,135,142,149],"pictographic":[38],"characteristics":[39],"of":[40,68,87,131],"through":[42,84,110],"multi-strategy":[43],"perturbations.":[44],"propose":[46],"three-phase":[48],"methodology":[49],"to":[50,64],"deal":[51],"with":[52,145],"challenge":[54],"systematically:":[55],"The":[56,74,96],"Key":[57],"Token":[58],"Extractor":[59],"(KTE)":[60],"employs":[61],"confidence":[62],"variation":[63],"perform":[65],"segmented":[66],"identification":[67],"critical":[69],"sentences":[70],"pivotal":[72],"tokens;":[73],"Weighted":[75],"Multi-strategy":[76],"Perturbation":[77],"(WMP)":[78],"module":[79],"implements":[80],"targeted":[81],"weighted":[82],"perturbations":[83],"variety":[86],"strategies":[88],"such":[89],"as":[90],"glyph-based":[91],"substitution":[92],"synonym":[94],"replacement;":[95],"Phonetic-Visual-Semantic":[97],"(PVS)":[98],"constrained":[99],"iterative":[100],"search":[101],"mechanism":[102],"optimizes":[103],"perturbation":[104],"selection":[105],"while":[106],"maintaining":[107],"textual":[108],"naturalness":[109],"multimodal":[111],"constraint":[112],"integration.":[113],"Experiments":[114],"show":[115],"TA":[117],"performs":[118],"well":[119],"six":[121],"classification":[122,129],"models":[123],"across":[124],"two":[125],"datasets,":[126],"reducing":[127],"accuracy":[130],"hotel":[132],"review":[133],"dataset":[134,138],"news":[136],"topic":[137],"by":[139],"over":[140],"44.1%":[141],"72.2%,":[143],"respectively,":[144],"small":[147],"cost":[148],"high":[150],"transfer":[151],"ability.":[152]},"counts_by_year":[],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
