{"id":"https://openalex.org/W4400491042","doi":"https://doi.org/10.1109/cscwd61410.2024.10580402","title":"Generating Valid and Natural Adversarial Examples with Large Language Models","display_name":"Generating Valid and Natural Adversarial Examples with Large Language Models","publication_year":2024,"publication_date":"2024-05-08","ids":{"openalex":"https://openalex.org/W4400491042","doi":"https://doi.org/10.1109/cscwd61410.2024.10580402"},"language":"en","primary_location":{"id":"doi:10.1109/cscwd61410.2024.10580402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd61410.2024.10580402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th 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/A5103119465","display_name":"Zimu Wang","orcid":"https://orcid.org/0009-0008-4332-5514"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Zimu Wang","raw_affiliation_strings":["Xi&#x2019;an Jiaotong-Liverpool University,School of Advanced Technology,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong-Liverpool University,School of Advanced Technology,Suzhou,China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100391855","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-0707-8076"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["Xi&#x2019;an Jiaotong-Liverpool University,School of Advanced Technology,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong-Liverpool University,School of Advanced Technology,Suzhou,China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100340184","display_name":"Qi Chen","orcid":"https://orcid.org/0000-0002-7430-1645"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Chen","raw_affiliation_strings":["Xi&#x2019;an Jiaotong-Liverpool University,School of AI and Advanced Computing,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong-Liverpool University,School of AI and Advanced Computing,Suzhou,China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053452551","display_name":"Qiufeng Wang","orcid":"https://orcid.org/0000-0002-0918-4606"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiufeng Wang","raw_affiliation_strings":["Xi&#x2019;an Jiaotong-Liverpool University,School of Advanced Technology,Suzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi&#x2019;an Jiaotong-Liverpool University,School of Advanced Technology,Suzhou,China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090435705","display_name":"Anh\u2010Tu Nguyen","orcid":"https://orcid.org/0000-0002-9636-3927"},"institutions":[{"id":"https://openalex.org/I146655781","display_name":"University of Liverpool","ror":"https://ror.org/04xs57h96","country_code":"GB","type":"education","lineage":["https://openalex.org/I146655781"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Anh Nguyen","raw_affiliation_strings":["University of Liverpool,Department of Computer Science,Liverpool,United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Liverpool,Department of Computer Science,Liverpool,United Kingdom","institution_ids":["https://openalex.org/I146655781"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5103119465"],"corresponding_institution_ids":["https://openalex.org/I69356397"],"apc_list":null,"apc_paid":null,"fwci":5.4281,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.96228455,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1716","last_page":"1721"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9824000000953674,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9824000000953674,"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/T10181","display_name":"Natural Language Processing Techniques","score":0.979200005531311,"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/T10028","display_name":"Topic Modeling","score":0.9559000134468079,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8235529661178589},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.718116283416748},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.5985209941864014},{"id":"https://openalex.org/keywords/natural","display_name":"Natural (archaeology)","score":0.5374854803085327},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.5117864012718201},{"id":"https://openalex.org/keywords/natural-language-generation","display_name":"Natural language generation","score":0.49576863646507263},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4668235182762146},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.323687344789505},{"id":"https://openalex.org/keywords/history","display_name":"History","score":0.11198201775550842}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8235529661178589},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.718116283416748},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.5985209941864014},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.5374854803085327},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.5117864012718201},{"id":"https://openalex.org/C2776187449","wikidata":"https://www.wikidata.org/wiki/Q1513879","display_name":"Natural language generation","level":3,"score":0.49576863646507263},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4668235182762146},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.323687344789505},{"id":"https://openalex.org/C95457728","wikidata":"https://www.wikidata.org/wiki/Q309","display_name":"History","level":0,"score":0.11198201775550842},{"id":"https://openalex.org/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cscwd61410.2024.10580402","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cscwd61410.2024.10580402","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3089357417","https://openalex.org/W2152921782","https://openalex.org/W382594479","https://openalex.org/W2470045054","https://openalex.org/W2575772232","https://openalex.org/W2151245229","https://openalex.org/W2140902089","https://openalex.org/W2030298461","https://openalex.org/W1510553545","https://openalex.org/W3020827637"],"abstract_inverted_index":{"Deep":[0],"learning-based":[1],"natural":[2,74],"language":[3,9,55,61],"processing":[4],"(NLP)":[5],"models,":[6],"particularly":[7],"pre-trained":[8],"models":[10,32,62,126],"(PLMs),":[11],"have":[12],"been":[13],"revealed":[14],"to":[15,18,39],"be":[16],"vulnerable":[17,93],"adversarial":[19,23,30,75,124,150],"attacks.":[20],"However,":[21],"the":[22,40,51,91,111,122,128,135,159],"examples":[24,76,151],"generated":[25],"by":[26,142],"many":[27],"mainstream":[28],"word-level":[29],"attack":[31,125],"are":[33,153],"neither":[34],"valid":[35,72,155],"nor":[36],"natural,":[37,157],"leading":[38],"loss":[41],"of":[42,54,59,82,130,161],"semantic":[43,162],"maintenance,":[44],"grammaticality,":[45,164],"and":[46,57,73,95,116,132,139,156,165],"human":[47,138,166],"imperceptibility.":[48,167],"Based":[49],"on":[50,110],"exceptional":[52],"capacity":[53],"understanding":[56],"generation":[58],"large":[60],"(LLMs),":[63],"we":[64],"propose":[65],"LLM-Attack,":[66,131],"which":[67],"aims":[68],"at":[69],"generating":[70],"both":[71],"with":[77,102,158],"LLMs.":[78],"The":[79,146],"method":[80],"consists":[81],"two":[83],"stages:":[84],"word":[85,96],"importance":[86],"ranking":[87],"(which":[88,99],"searches":[89],"for":[90],"most":[92],"words)":[94],"synonym":[97],"replacement":[98],"substitutes":[100],"them":[101],"their":[103],"synonyms":[104],"obtained":[105],"from":[106],"LLMs).":[107],"Experimental":[108],"results":[109],"Movie":[112],"Review":[113,118],"(MR),":[114],"IMDB,":[115],"Yelp":[117],"Polarity":[119],"datasets":[120],"against":[121],"baseline":[123],"illustrate":[127],"effectiveness":[129],"it":[133],"outperforms":[134],"baselines":[136],"in":[137],"GPT-4":[140],"evaluation":[141],"a":[143],"significant":[144],"margin.":[145],"model":[147],"can":[148],"generate":[149],"that":[152],"typically":[154],"preservation":[160],"meaning,":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":13},{"year":2024,"cited_by_count":3}],"updated_date":"2026-05-15T08:27:34.491423","created_date":"2025-10-10T00:00:00"}
