{"id":"https://openalex.org/W4416035928","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.173","title":"FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture","display_name":"FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4416035928","doi":"https://doi.org/10.18653/v1/2025.findings-emnlp.173"},"language":null,"primary_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.173","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.173","pdf_url":"https://aclanthology.org/2025.findings-emnlp.173.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://aclanthology.org/2025.findings-emnlp.173.pdf","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101814774","display_name":"Minghao Hu","orcid":"https://orcid.org/0000-0002-5002-3724"},"institutions":[{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["SS"],"is_corresponding":false,"raw_author_name":"Minghao Hu","raw_affiliation_strings":["University University University University University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University University University University University","institution_ids":["https://openalex.org/I4210096386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067591583","display_name":"Junzhe Wang","orcid":"https://orcid.org/0000-0003-1512-9926"},"institutions":[{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["SS"],"is_corresponding":false,"raw_author_name":"Junzhe Wang","raw_affiliation_strings":["University University University University University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University University University University University","institution_ids":["https://openalex.org/I4210096386"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weisen Zhao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["SS"],"is_corresponding":false,"raw_author_name":"Weisen Zhao","raw_affiliation_strings":["University University University University University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University University University University University","institution_ids":["https://openalex.org/I4210096386"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102018601","display_name":"Qiang Zeng","orcid":"https://orcid.org/0000-0001-9432-6017"},"institutions":[{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["SS"],"is_corresponding":false,"raw_author_name":"Qiang Zeng","raw_affiliation_strings":["University University University University University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University University University University University","institution_ids":["https://openalex.org/I4210096386"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067262852","display_name":"Lannan Luo","orcid":"https://orcid.org/0000-0003-2476-7831"},"institutions":[{"id":"https://openalex.org/I4210096386","display_name":"Bridge University","ror":"https://ror.org/00cbm0437","country_code":"SS","type":"education","lineage":["https://openalex.org/I4210096386"]}],"countries":["SS"],"is_corresponding":false,"raw_author_name":"Lannan Luo","raw_affiliation_strings":["University University University University University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University University University University University","institution_ids":["https://openalex.org/I4210096386"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210096386"],"apc_list":null,"apc_paid":null,"fwci":6.0313,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.97194011,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"3251","last_page":"3272"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9787999987602234,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10260","display_name":"Software Engineering Research","score":0.003100000089034438,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10743","display_name":"Software Testing and Debugging Techniques","score":0.003000000026077032,"subfield":{"id":"https://openalex.org/subfields/1712","display_name":"Software"},"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/code","display_name":"Code (set theory)","score":0.47029998898506165},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.46650001406669617},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.37369999289512634},{"id":"https://openalex.org/keywords/architecture","display_name":"Architecture","score":0.3682999908924103},{"id":"https://openalex.org/keywords/translation","display_name":"Translation (biology)","score":0.35659998655319214},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.30570000410079956}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7524999976158142},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49399998784065247},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.47029998898506165},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.46650001406669617},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.37380000948905945},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.37369999289512634},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C149364088","wikidata":"https://www.wikidata.org/wiki/Q185917","display_name":"Translation (biology)","level":4,"score":0.35659998655319214},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.31049999594688416},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.30570000410079956},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.30320000648498535},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.29420000314712524},{"id":"https://openalex.org/C2779190172","wikidata":"https://www.wikidata.org/wiki/Q4913888","display_name":"Binary data","level":3,"score":0.2815000116825104},{"id":"https://openalex.org/C98025372","wikidata":"https://www.wikidata.org/wiki/Q477538","display_name":"Systems architecture","level":3,"score":0.27379998564720154},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.2578999996185303},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.25049999356269836}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.18653/v1/2025.findings-emnlp.173","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.173","pdf_url":"https://aclanthology.org/2025.findings-emnlp.173.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.18653/v1/2025.findings-emnlp.173","is_oa":true,"landing_page_url":"https://doi.org/10.18653/v1/2025.findings-emnlp.173","pdf_url":"https://aclanthology.org/2025.findings-emnlp.173.pdf","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Findings of the Association for Computational Linguistics: EMNLP 2025","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2017594339","display_name":"SaTC: CORE: Small: Semantics-Oriented Binary Code Analysis Learning from Recent Advances in Deep Learning","funder_award_id":"2304720","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4416035928.pdf","grobid_xml":"https://content.openalex.org/works/W4416035928.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Applying":[0],"deep":[1,39],"learning":[2],"to":[3,11,29,34,61,79,106,117,125],"malware":[4,15,31,41,51,59,93,98,111,127,151],"detection":[5,32,42,152],"has":[6],"drawn":[7],"great":[8],"attention":[9],"due":[10],"its":[12],"notable":[13],"performance.As":[14],"spreads":[16],"across":[17,153],"a":[18,38,46,100,119],"wide":[19],"range":[20],"of":[21,49,54,74,83,146],"Instruction":[22],"Set":[23],"Architectures":[24],"(ISAs),":[25],"it":[26,105],"is":[27,67],"important":[28],"extend":[30],"capacity":[33],"multiple":[35],"ISAs.However,":[36],"training":[37],"learning-based":[40],"model":[43,120,136],"usually":[44],"requires":[45],"large":[47],"number":[48],"labeled":[50],"samples.The":[52],"process":[53],"collecting":[55],"and":[56,69,88,133],"labeling":[57],"sufficient":[58,110],"samples":[60,112],"build":[62],"datasets":[63],"for":[64,92],"each":[65],"ISA":[66,108,124],"labor-intensive":[68],"time-consuming.To":[70],"reduce":[71],"the":[72,81,135,142],"burden":[73],"data":[75],"collection,":[76],"we":[77,103],"propose":[78],"leverage":[80],"ideas":[82],"Neural":[84],"Machine":[85],"Translation":[86],"(NMT)":[87],"Normalizing":[89],"Flows":[90],"(NFs)":[91],"detection.Specifically,":[94],"when":[95],"dealing":[96],"with":[97,109],"in":[99],"certain":[101],"ISA,":[102],"translate":[104],"an":[107],"(like":[113],"X86-64).This":[114],"allows":[115],"us":[116],"apply":[118],"trained":[121],"on":[122,137],"one":[123],"analyze":[126],"from":[128],"another":[129],"ISA.We":[130],"have":[131],"implemented":[132],"evaluated":[134],"seven":[138],"ISAs.The":[139],"results":[140],"demonstrate":[141],"high":[143],"translation":[144],"capability":[145],"our":[147],"model,":[148],"enabling":[149],"superior":[150],"ISAs.":[154]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-11-08T00:00:00"}