{"id":"https://openalex.org/W7133842042","doi":"https://doi.org/10.1109/tifs.2026.3671095","title":"AdaParse: Personalized Fingerprinting for Visual Generative Model Reverse Engineering","display_name":"AdaParse: Personalized Fingerprinting for Visual Generative Model Reverse Engineering","publication_year":2026,"publication_date":"2026-01-01","ids":{"openalex":"https://openalex.org/W7133842042","doi":"https://doi.org/10.1109/tifs.2026.3671095"},"language":null,"primary_location":{"id":"doi:10.1109/tifs.2026.3671095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2026.3671095","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Transactions on Information Forensics and Security","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":null,"display_name":"Yu Zheng","orcid":"https://orcid.org/0000-0002-6588-5191"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yu Zheng","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6588-5191","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128209895","display_name":"Zhuoxun Li","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhuoxun Li","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0009-0004-8409-0599","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013808212","display_name":"Bingyao Yu","orcid":"https://orcid.org/0000-0001-9550-6554"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bingyao Yu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-9550-6554","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5128207882","display_name":"Jie Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhou","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0001-7701-234X","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103740674","display_name":"Jiwen Lu","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiwen Lu","raw_affiliation_strings":["Department of Automation, Tsinghua University, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-6121-5529","affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, Beijing, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I99065089"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.44413493,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"21","issue":null,"first_page":"2682","last_page":"2697"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.16949999332427979,"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"}},"topics":[{"id":"https://openalex.org/T10799","display_name":"Data Visualization and Analytics","score":0.16949999332427979,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.07329999655485153,"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/T10828","display_name":"Biometric Identification and Security","score":0.06930000334978104,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/reverse-engineering","display_name":"Reverse engineering","score":0.7387999892234802},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.39590001106262207},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36800000071525574},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.3538999855518341},{"id":"https://openalex.org/keywords/data-modeling","display_name":"Data modeling","score":0.3190999925136566}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.857200026512146},{"id":"https://openalex.org/C207850805","wikidata":"https://www.wikidata.org/wiki/Q269608","display_name":"Reverse engineering","level":2,"score":0.7387999892234802},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5803999900817871},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.39590001106262207},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36800000071525574},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.3538999855518341},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3190999925136566},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.3188000023365021},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2897999882698059},{"id":"https://openalex.org/C183322885","wikidata":"https://www.wikidata.org/wiki/Q17007702","display_name":"Context model","level":3,"score":0.26579999923706055},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25699999928474426},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.2513999938964844}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tifs.2026.3671095","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tifs.2026.3671095","pdf_url":null,"source":{"id":"https://openalex.org/S61310614","display_name":"IEEE Transactions on Information Forensics and Security","issn_l":"1556-6013","issn":["1556-6013","1556-6021"],"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 Transactions on Information Forensics and Security","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2438210826","display_name":null,"funder_award_id":"62321005","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2806862466","display_name":null,"funder_award_id":"62406172","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G282371860","display_name":null,"funder_award_id":"2024M761674","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3510215249","display_name":null,"funder_award_id":"62125603","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5863052833","display_name":null,"funder_award_id":"2023M741964","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7641150618","display_name":null,"funder_award_id":"62441616","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8443129088","display_name":null,"funder_award_id":"62336004","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G941499851","display_name":null,"funder_award_id":"2024M761674","funder_id":"https://openalex.org/F4320321543","funder_display_name":"China Postdoctoral Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321543","display_name":"China Postdoctoral Science Foundation","ror":"https://ror.org/0426zh255"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":80,"referenced_works":["https://openalex.org/W1570958768","https://openalex.org/W2097117768","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2508457857","https://openalex.org/W2531409750","https://openalex.org/W2785678896","https://openalex.org/W2789304371","https://openalex.org/W2802701183","https://openalex.org/W2891145043","https://openalex.org/W2895129173","https://openalex.org/W2907295878","https://openalex.org/W2914447220","https://openalex.org/W2962770929","https://openalex.org/W2963447079","https://openalex.org/W2963684180","https://openalex.org/W2963720850","https://openalex.org/W2963767194","https://openalex.org/W2963844355","https://openalex.org/W2982058372","https://openalex.org/W2991318208","https://openalex.org/W2992005611","https://openalex.org/W3034470897","https://openalex.org/W3034577585","https://openalex.org/W3034600949","https://openalex.org/W3034713808","https://openalex.org/W3035063907","https://openalex.org/W3037681428","https://openalex.org/W3094470648","https://openalex.org/W3094728142","https://openalex.org/W3108854358","https://openalex.org/W3112848342","https://openalex.org/W3143336910","https://openalex.org/W3172265425","https://openalex.org/W3174508664","https://openalex.org/W3174814557","https://openalex.org/W3194922745","https://openalex.org/W3203348593","https://openalex.org/W3204647170","https://openalex.org/W4283811667","https://openalex.org/W4284702842","https://openalex.org/W4292794812","https://openalex.org/W4312753047","https://openalex.org/W4312933868","https://openalex.org/W4312974539","https://openalex.org/W4313012902","https://openalex.org/W4319300674","https://openalex.org/W4385486282","https://openalex.org/W4386075764","https://openalex.org/W4387665622","https://openalex.org/W4388858191","https://openalex.org/W4389009524","https://openalex.org/W4390873803","https://openalex.org/W4391454342","https://openalex.org/W4393182033","https://openalex.org/W4393864461","https://openalex.org/W4401072578","https://openalex.org/W4401500113","https://openalex.org/W4402626888","https://openalex.org/W4402702998","https://openalex.org/W4402715936","https://openalex.org/W4402716164","https://openalex.org/W4402816547","https://openalex.org/W4402916306","https://openalex.org/W4403177297","https://openalex.org/W4403758830","https://openalex.org/W4403791664","https://openalex.org/W4403906547","https://openalex.org/W4404821172","https://openalex.org/W4405229107","https://openalex.org/W4405741798","https://openalex.org/W4408709608","https://openalex.org/W4409364371","https://openalex.org/W4410393688","https://openalex.org/W4412387455","https://openalex.org/W4413443924","https://openalex.org/W4415795700","https://openalex.org/W7133223677","https://openalex.org/W7133238154","https://openalex.org/W7133254143"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,111],"propose":[4,113],"a":[5,35,61,114],"hyperparameter-specialized":[6],"adaptive":[7,124],"fingerprinting":[8],"framework":[9],"named":[10],"AdaParse":[11,70],"for":[12,44,85,103],"model":[13,38],"reverse":[14],"engineering,":[15],"which":[16,47],"aims":[17],"at":[18,155],"predicting":[19],"hyperparameters":[20],"of":[21,63],"interest":[22],"in":[23,60],"generative":[24,64,143],"models":[25,144],"from":[26],"the":[27,137],"given":[28],"AI-generated":[29],"images.":[30],"Existing":[31],"methods":[32],"rely":[33],"on":[34,136],"single":[36],"coarse":[37],"fingerprint":[39,104],"that":[40,96,118,146],"is":[41],"originally":[42],"designed":[43],"model-level":[45],"attribution,":[46],"makes":[48],"it":[49],"difficult":[50],"to":[51,56,73],"distinguish":[52],"fine-grained":[53],"traces":[54],"corresponding":[55],"different":[57],"hyperparameter":[58],"configurations":[59],"multitude":[62],"models.":[65],"To":[66,106],"address":[67],"this,":[68],"our":[69,90,147],"dynamically":[71],"responds":[72],"instance-level":[74],"variations":[75],"by":[76],"estimating":[77],"hyperparameter-specific":[78],"fingerprints":[79],"via":[80],"personalizing":[81],"estimation":[82],"networks":[83],"tailored":[84],"each":[86],"input":[87],"image.":[88],"Specifically,":[89],"approach":[91,148],"simultaneously":[92],"learns":[93],"two-branch":[94],"hypernetworks":[95],"balance":[97],"instance-aware":[98],"and":[99],"model-agnostic":[100],"prior":[101],"knowledge":[102],"generation.":[105],"enable":[107],"efficient":[108],"network":[109],"personalization,":[110],"further":[112],"Broadcasted":[115],"Fusion":[116],"module":[117],"transforms":[119],"condensed":[120],"feature":[121],"codes":[122],"into":[123],"parameters":[125],"through":[126],"factorized":[127],"weight":[128],"generation":[129],"with":[130],"enhanced":[131],"representative":[132],"capacity.":[133],"Extensive":[134],"experiments":[135],"large-scale":[138],"public":[139],"dataset":[140],"across":[141],"123":[142],"demonstrate":[145],"outperforms":[149],"previous":[150],"state-of-the-art":[151],"methods.":[152],"Code":[153],"available":[154],"https://github.com/lizhuoxun/AdaParse/.":[156]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2026-03-06T00:00:00"}