{"id":"https://openalex.org/W4388430352","doi":"https://doi.org/10.1109/taslp.2023.3330613","title":"DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding","display_name":"DropAttack: A Random Dropped Weight Attack Adversarial Training for Natural Language Understanding","publication_year":2023,"publication_date":"2023-11-06","ids":{"openalex":"https://openalex.org/W4388430352","doi":"https://doi.org/10.1109/taslp.2023.3330613"},"language":"en","primary_location":{"id":"doi:10.1109/taslp.2023.3330613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3330613","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-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/A5076323286","display_name":"Shiwen Ni","orcid":"https://orcid.org/0000-0002-4986-4446"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Shiwen Ni","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5025583151","display_name":"Jiawen Li","orcid":"https://orcid.org/0000-0003-3684-4785"},"institutions":[{"id":"https://openalex.org/I79223203","display_name":"Guangdong Ocean University","ror":"https://ror.org/0462wa640","country_code":"CN","type":"education","lineage":["https://openalex.org/I79223203"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawen Li","raw_affiliation_strings":["Maritime College, Guangdong Ocean University, Zhanjiang, China"],"affiliations":[{"raw_affiliation_string":"Maritime College, Guangdong Ocean University, Zhanjiang, China","institution_ids":["https://openalex.org/I79223203"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054067088","display_name":"Min Yang","orcid":"https://orcid.org/0000-0003-3814-2728"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Yang","raw_affiliation_strings":["Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Shenzhen Institute of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101898313","display_name":"Hung\u2010Yu Kao","orcid":"https://orcid.org/0000-0002-8890-8544"},"institutions":[{"id":"https://openalex.org/I91807558","display_name":"National Cheng Kung University","ror":"https://ror.org/01b8kcc49","country_code":"TW","type":"education","lineage":["https://openalex.org/I91807558"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Hung-Yu Kao","raw_affiliation_strings":["Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, National Cheng Kung University, Tainan, Taiwan","institution_ids":["https://openalex.org/I91807558"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5076323286"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210145761"],"apc_list":null,"apc_paid":null,"fwci":1.2179,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.83754442,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":98},"biblio":{"volume":"32","issue":null,"first_page":"364","last_page":"373"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10028","display_name":"Topic Modeling","score":0.9965000152587891,"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/T10028","display_name":"Topic Modeling","score":0.9965000152587891,"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":0.9943000078201294,"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":0.9704999923706055,"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/regularization","display_name":"Regularization (linguistics)","score":0.658627450466156},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6246327757835388},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6064162850379944},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5924223065376282},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.44241300225257874},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.41599640250205994},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.4154747426509857},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20764195919036865}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.658627450466156},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6246327757835388},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6064162850379944},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5924223065376282},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.44241300225257874},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.41599640250205994},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.4154747426509857},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20764195919036865},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/taslp.2023.3330613","is_oa":false,"landing_page_url":"https://doi.org/10.1109/taslp.2023.3330613","pdf_url":null,"source":{"id":"https://openalex.org/S4210169297","display_name":"IEEE/ACM Transactions on Audio Speech and Language Processing","issn_l":"2329-9290","issn":["2329-9290","2329-9304"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE/ACM Transactions on Audio, Speech, and Language Processing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4","score":0.8600000143051147}],"awards":[{"id":"https://openalex.org/G764531327","display_name":null,"funder_award_id":"NSTC 112-2223-E-006-009","funder_id":"https://openalex.org/F4320322795","funder_display_name":"Ministry of Science and Technology, Taiwan"}],"funders":[{"id":"https://openalex.org/F4320322795","display_name":"Ministry of Science and Technology, Taiwan","ror":"https://ror.org/02kv4zf79"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1955857676","https://openalex.org/W2095705004","https://openalex.org/W2130158090","https://openalex.org/W2135046866","https://openalex.org/W2737907513","https://openalex.org/W2919115771","https://openalex.org/W2923014074","https://openalex.org/W2963748441","https://openalex.org/W2963823140","https://openalex.org/W2963846996","https://openalex.org/W2963854351","https://openalex.org/W2965373594","https://openalex.org/W2971788173","https://openalex.org/W2978670439","https://openalex.org/W4241020465","https://openalex.org/W4253067820","https://openalex.org/W4298162703","https://openalex.org/W4385245566","https://openalex.org/W6605323724","https://openalex.org/W6635469476","https://openalex.org/W6640425456","https://openalex.org/W6674330103","https://openalex.org/W6676725880","https://openalex.org/W6676984168","https://openalex.org/W6685053522","https://openalex.org/W6686282164","https://openalex.org/W6691459498","https://openalex.org/W6726983090","https://openalex.org/W6729756640","https://openalex.org/W6730161283","https://openalex.org/W6747381837","https://openalex.org/W6748475379","https://openalex.org/W6755207826","https://openalex.org/W6761100157","https://openalex.org/W6762775584","https://openalex.org/W6763701032","https://openalex.org/W6766673545","https://openalex.org/W6767293667","https://openalex.org/W6768021236","https://openalex.org/W6773944720","https://openalex.org/W6774637898","https://openalex.org/W6775334259","https://openalex.org/W6784426856"],"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/W4288019534"],"abstract_inverted_index":{"Adversarial":[0],"training":[1,32],"has":[2],"been":[3],"proven":[4],"to":[5,11,76,119,126,139,147,191],"be":[6],"a":[7,20,58,192],"powerful":[8],"regularization":[9,166],"technique":[10],"improve":[12,127],"language":[13,41,102],"models.":[14],"In":[15],"this":[16],"work,":[17],"we":[18],"propose":[19],"novel":[21],"random":[22],"<bold":[23,28,35,96],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[24,29,36,97],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">drop</b>":[25],"ped":[26],"weight":[27,78,171],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">attack</b>":[30],"adversarial":[31,54,67,74],"method":[33],"(":[34],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">DropAttack</b>":[37],")":[38],"for":[39],"natural":[40,101],"understanding.":[42],"Our":[43],"DropAttack":[44,64,115,150,162,181],"improves":[45,153],"the":[46,52,66,77,83,92,109,120,128,133,168,174,184,188],"generalization":[47],"of":[48,60,86,94,132,173,187],"models":[49,154],"by":[50,57,70],"minimizing":[51],"internal":[53],"risk":[55,186],"caused":[56],"multitude":[59],"attack":[61,68,87],"combinations.":[62],"Specifically,":[63],"enhances":[65],"space":[69],"intentionally":[71],"adding":[72],"worst-case":[73],"perturbations":[75],"parameters":[79,172],"and":[80,141,170,194],"randomly":[81],"dropping":[82],"specific":[84],"proportion":[85],"perturbations.":[88],"To":[89],"extensively":[90],"validate":[91],"effectiveness":[93],"DropAttack,":[95],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">12</b>":[98],"public":[99],"English":[100],"understanding":[103],"datasets":[104],"were":[105],"used.":[106],"Experiments":[107],"on":[108,167],"GLUE":[110],"benchmark":[111],"show":[112,179],"that":[113,161,180],"when":[114],"is":[116,124],"applied":[117],"only":[118],"finetuning":[121],"stage,":[122],"it":[123],"able":[125],"overall":[129],"test":[130],"scores":[131],"BERT-base":[134],"pre-trained":[135,143],"model":[136,144],"from":[137,145,156],"78.3":[138],"79.7":[140],"RoBERTa-large":[142],"88.1":[146],"88.8.":[148],"Further,":[149],"also":[151],"significantly":[152],"trained":[155],"scratch.":[157],"Theoretical":[158],"analysis":[159],"reveals":[160],"performs":[163],"potential":[164],"gradient":[165],"input":[169],"model.":[175],"Moreover,":[176],"visualization":[177],"experiments":[178],"can":[182],"push":[183],"minimum":[185],"neural":[189],"network":[190],"lower":[193],"flatter":[195],"loss":[196],"landscape.":[197]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-02T15:55:50.835912","created_date":"2025-10-10T00:00:00"}
