{"id":"https://openalex.org/W4385270693","doi":"https://doi.org/10.1109/uv56588.2022.10185524","title":"MSDT: Masked Language Model Scoring Defense in Text Domain","display_name":"MSDT: Masked Language Model Scoring Defense in Text Domain","publication_year":2022,"publication_date":"2022-10-22","ids":{"openalex":"https://openalex.org/W4385270693","doi":"https://doi.org/10.1109/uv56588.2022.10185524"},"language":"en","primary_location":{"id":"doi:10.1109/uv56588.2022.10185524","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/uv56588.2022.10185524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 6th International Conference on Universal Village (UV)","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/A5014708485","display_name":"Jaechul Roh","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jaechul Roh","raw_affiliation_strings":["The Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Hong Kong,China","Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology,Department of Electronic and Computer Engineering,Hong Kong,China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Electronic and Computer Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5000534132","display_name":"Minhao Cheng","orcid":"https://orcid.org/0000-0003-3965-4215"},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Minhao Cheng","raw_affiliation_strings":["The Hong Kong University of Science and Technology,Department of Computer Science and Engineering,Hong Kong,China","Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China"],"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology,Department of Computer Science and Engineering,Hong Kong,China","institution_ids":["https://openalex.org/I200769079"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Hong Kong, China","institution_ids":["https://openalex.org/I200769079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103835188","display_name":"Yajun Fang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yajun Fang","raw_affiliation_strings":["Universal Village Society,Cambridge,USA","Universal Village Society, Cambridge, USA"],"affiliations":[{"raw_affiliation_string":"Universal Village Society,Cambridge,USA","institution_ids":[]},{"raw_affiliation_string":"Universal Village Society, Cambridge, USA","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5014708485"],"corresponding_institution_ids":["https://openalex.org/I200769079"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.5680033,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"28","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9937999844551086,"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9480999708175659,"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/backdoor","display_name":"Backdoor","score":0.9920230507850647},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7836460471153259},{"id":"https://openalex.org/keywords/constructive","display_name":"Constructive","score":0.6896104216575623},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6085456609725952},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5659241080284119},{"id":"https://openalex.org/keywords/language-model","display_name":"Language model","score":0.5257034301757812},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49662262201309204},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.45711660385131836},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.446400910615921},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.428529292345047},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.40881621837615967},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3924657702445984},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.16119101643562317}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.9920230507850647},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7836460471153259},{"id":"https://openalex.org/C2778701210","wikidata":"https://www.wikidata.org/wiki/Q28130034","display_name":"Constructive","level":3,"score":0.6896104216575623},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6085456609725952},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5659241080284119},{"id":"https://openalex.org/C137293760","wikidata":"https://www.wikidata.org/wiki/Q3621696","display_name":"Language model","level":2,"score":0.5257034301757812},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49662262201309204},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.45711660385131836},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.446400910615921},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.428529292345047},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.40881621837615967},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3924657702445984},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.16119101643562317},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/uv56588.2022.10185524","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/uv56588.2022.10185524","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 6th International Conference on Universal Village (UV)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-132465","is_oa":false,"landing_page_url":"https://repository.hkust.edu.hk/ir/Record/1783.1-132465","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6299999952316284,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1922655562","https://openalex.org/W1945616565","https://openalex.org/W2170240176","https://openalex.org/W2251939518","https://openalex.org/W2748789698","https://openalex.org/W2896457183","https://openalex.org/W2923014074","https://openalex.org/W2964301649","https://openalex.org/W2996851481","https://openalex.org/W3034775979","https://openalex.org/W3035367371","https://openalex.org/W3038046627","https://openalex.org/W3109409894","https://openalex.org/W3121355610","https://openalex.org/W3158487140","https://openalex.org/W3176270593","https://openalex.org/W3202492633","https://openalex.org/W6640090968","https://openalex.org/W6640425456","https://openalex.org/W6685053522","https://openalex.org/W6691459498","https://openalex.org/W6743581629","https://openalex.org/W6755207826","https://openalex.org/W6779431784","https://openalex.org/W6779690972","https://openalex.org/W6786651539","https://openalex.org/W6788741671","https://openalex.org/W6801759574"],"related_works":["https://openalex.org/W4320031223","https://openalex.org/W4200629851","https://openalex.org/W4281902577","https://openalex.org/W4309417370","https://openalex.org/W4292107232","https://openalex.org/W3009072493","https://openalex.org/W4386080799","https://openalex.org/W3140988292","https://openalex.org/W4317672133","https://openalex.org/W4386185023"],"abstract_inverted_index":{"Pre-trained":[0],"language":[1,32],"models":[2,33,61,83,96],"allowed":[3],"us":[4],"to":[5,18,47,51,84,87,91,98],"process":[6],"downstream":[7],"tasks":[8],"with":[9,70],"the":[10,16,38,81,85,95,106,126],"help":[11],"of":[12,148],"fine-tuning,":[13],"which":[14],"aids":[15],"model":[17],"achieve":[19],"fairly":[20],"high":[21],"accuracy":[22],"in":[23,131,146,153],"various":[24,35],"Natural":[25],"Language":[26],"Processing":[27],"(NLP)":[28],"tasks.":[29],"Such":[30],"easily-downloaded":[31],"from":[34],"websites":[36],"empowered":[37],"public":[39,86],"users":[40,90],"as":[41,43],"well":[42],"some":[44],"major":[45],"institutions":[46],"give":[48],"a":[49,115],"momentum":[50],"their":[52],"real-life":[53],"application.":[54],"However,":[55],"it":[56],"was":[57],"recently":[58],"proven":[59],"that":[60,124,138],"become":[62],"extremely":[63],"vulnerable":[64],"when":[65,100],"they":[66],"are":[67,103],"backdoor":[68,119,151],"attacked":[69],"trigger-inserted":[71],"poisoned":[72],"datasets":[73],"by":[74],"malicious":[75],"users.":[76],"The":[77,134],"attackers":[78],"then":[79],"redistribute":[80],"victim":[82],"attract":[88],"other":[89],"use":[92],"them,":[93],"where":[94],"tend":[97],"misclassify":[99],"certain":[101],"triggers":[102],"detected":[104],"within":[105],"training":[107],"sample.":[108],"In":[109],"this":[110],"paper,":[111],"we":[112],"will":[113],"introduce":[114],"novel":[116],"improved":[117],"textual":[118],"defense":[120],"method,":[121],"named":[122],"MSDT,":[123],"outperforms":[125],"current":[127],"existing":[128],"defensive":[129],"algorithms":[130],"specific":[132],"datasets.":[133],"experimental":[135],"results":[136],"illustrate":[137],"our":[139],"method":[140],"can":[141],"be":[142],"effective":[143],"and":[144],"constructive":[145],"terms":[147],"defending":[149],"against":[150],"attack":[152],"text":[154],"domain.":[155]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-12-21T23:12:01.093139","created_date":"2025-10-10T00:00:00"}
