{"id":"https://openalex.org/W4304080321","doi":"https://doi.org/10.1145/3503161.3548416","title":"Imitated Detectors","display_name":"Imitated Detectors","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304080321","doi":"https://doi.org/10.1145/3503161.3548416"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548416","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548416","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5048901827","display_name":"Siyuan Liang","orcid":"https://orcid.org/0000-0002-6474-5859"},"institutions":[{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyuan Liang","raw_affiliation_strings":["Institute of Information Engineering, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Information Engineering, Chinese Academy of Sciences, University of Chinese Academy of Sciences, Beijing, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014870180","display_name":"Aishan Liu","orcid":"https://orcid.org/0000-0002-4224-1318"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Aishan Liu","raw_affiliation_strings":["Beihang University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University, Beijing, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004005455","display_name":"Jiawei Liang","orcid":"https://orcid.org/0000-0003-0748-3183"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiawei Liang","raw_affiliation_strings":["Sun Yat-Sen University, Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-Sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026889663","display_name":"Longkang Li","orcid":null},"institutions":[{"id":"https://openalex.org/I4210116924","display_name":"Chinese University of Hong Kong, Shenzhen","ror":"https://ror.org/02d5ks197","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633","https://openalex.org/I180726961","https://openalex.org/I4210116924"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Longkang Li","raw_affiliation_strings":["The Chinese University of Hong Kong (Shenzhen), Shenzhen, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong (Shenzhen), Shenzhen, China","institution_ids":["https://openalex.org/I4210116924"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044963450","display_name":"Yang Bai","orcid":"https://orcid.org/0000-0003-1918-0462"},"institutions":[{"id":"https://openalex.org/I150229711","display_name":"University of Electronic Science and Technology of China","ror":"https://ror.org/04qr3zq92","country_code":"CN","type":"education","lineage":["https://openalex.org/I150229711"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yang Bai","raw_affiliation_strings":["University of Electronic Science and Technology of China, Chengdu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Electronic Science and Technology of China, Chengdu, China","institution_ids":["https://openalex.org/I150229711"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5068837264","display_name":"Xiaochun Cao","orcid":"https://orcid.org/0000-0001-7141-708X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]},{"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/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaochun Cao","raw_affiliation_strings":["Shenzhen Campus, Sun Yat-sen University, Institute of Information Engineering, Chinese Academy of Sciences, Shenzhen, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Shenzhen Campus, Sun Yat-sen University, Institute of Information Engineering, Chinese Academy of Sciences, Shenzhen, Beijing, China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I157773358","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"4839","last_page":"4847"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9986000061035156,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9976000189781189,"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/computer-science","display_name":"Computer science","score":0.834755539894104},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.6432196497917175},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6401935815811157},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6280757188796997},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.6045710444450378},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.5569872260093689},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.5546603202819824},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5467719435691833},{"id":"https://openalex.org/keywords/domain-knowledge","display_name":"Domain knowledge","score":0.5103973746299744},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.49551069736480713},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.45778006315231323},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.42407214641571045},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3691340684890747},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.2852107286453247}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.834755539894104},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6432196497917175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6401935815811157},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6280757188796997},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.6045710444450378},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.5569872260093689},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.5546603202819824},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5467719435691833},{"id":"https://openalex.org/C207685749","wikidata":"https://www.wikidata.org/wiki/Q2088941","display_name":"Domain knowledge","level":2,"score":0.5103973746299744},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.49551069736480713},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.45778006315231323},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.42407214641571045},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3691340684890747},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2852107286453247},{"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/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3503161.3548416","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548416","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8199999928474426}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1980038761","https://openalex.org/W2193145675","https://openalex.org/W2549139847","https://openalex.org/W2604505099","https://openalex.org/W2931364255","https://openalex.org/W2962847335","https://openalex.org/W2963150697","https://openalex.org/W2963299996","https://openalex.org/W2963303354","https://openalex.org/W2963351448","https://openalex.org/W2969542116","https://openalex.org/W2980612421","https://openalex.org/W2982648698","https://openalex.org/W2982770724","https://openalex.org/W3093086118","https://openalex.org/W3106250896","https://openalex.org/W3107235539","https://openalex.org/W3108980562","https://openalex.org/W3120460133","https://openalex.org/W3124870505","https://openalex.org/W3127807678","https://openalex.org/W3135367836","https://openalex.org/W3174136778","https://openalex.org/W3178659068","https://openalex.org/W3180355996","https://openalex.org/W3184439416","https://openalex.org/W4304092585"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W2949096641","https://openalex.org/W2970686063","https://openalex.org/W4320729701","https://openalex.org/W3210378990","https://openalex.org/W3034745255","https://openalex.org/W4254103348"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"have":[3],"shown":[4],"great":[5],"potential":[6],"in":[7,193,215],"many":[8],"practical":[9],"applications,":[10],"yet":[11],"their":[12],"knowledge":[13,89,102,159],"is":[14],"at":[15,225],"the":[16,29,39,47,61,76,101,104,108,113,120,131,149,157,161,201,216],"risk":[17],"of":[18,51,103,141,160],"being":[19],"stolen":[20],"via":[21],"exposed":[22],"services":[23],"(\\eg":[24],"APIs).":[25],"In":[26,56,82],"contrast":[27],"to":[28,46,99,107,147,154],"commonly-studied":[30],"classification":[31],"model":[32,77,106,163,203,209],"extraction,":[33],"there":[34],"exist":[35],"no":[36],"studies":[37],"on":[38,190],"more":[40,186],"challenging":[41],"object":[42,68,142],"detection":[43],"task":[44],"due":[45],"sufficiency":[48],"and":[49,79,91,135,144,206],"efficiency":[50],"problem":[52,114,121,217],"domain":[53,115,122,218],"data":[54,116],"collection.":[55],"this":[57],"paper,":[58],"we":[59,84,118,129,152,172],"for":[60],"first":[62],"time":[63],"reveal":[64],"that":[65,197],"black-box":[66,88],"victim":[67,105,162,174,181],"detectors":[69],"can":[70,222],"be":[71,223],"easily":[72],"replicated":[73],"without":[74],"knowing":[75],"structure":[78],"training":[80],"data.":[81],"particular,":[83],"treat":[85],"it":[86],"as":[87],"distillation":[90],"propose":[92],"a":[93],"teacher-student":[94],"framework":[95],"named":[96],"Imitated":[97],"Detector":[98],"transfer":[100],"imitated":[109],"model.":[110],"To":[111],"accelerate":[112],"construction,":[117],"extend":[119],"dataset":[123],"by":[124,164,212],"generating":[125],"synthetic":[126],"images,":[127],"where":[128,171],"apply":[130],"text-image":[132],"generation":[133],"process":[134],"provide":[136,182],"short":[137],"text":[138],"inputs":[139],"consisting":[140],"categories":[143],"natural":[145],"scenes;":[146],"promote":[148],"feedback":[150],"information,":[151],"aim":[153],"fully":[155],"mine":[156],"latent":[158],"introducing":[165],"an":[166],"iterative":[167],"adversarial":[168,178],"attack":[169],"strategy,":[170],"feed":[173],"models":[175],"with":[176,185],"transferable":[177],"examples":[179],"making":[180],"diversified":[183],"predictions":[184],"information.":[187],"Extensive":[188],"experiments":[189],"multiple":[191],"datasets":[192],"different":[194],"settings":[195],"demonstrate":[196],"our":[198],"approach":[199],"achieves":[200],"highest":[202],"extraction":[204],"accuracy":[205],"outperforms":[207],"other":[208],"stealing":[210],"methods":[211],"large":[213],"margins":[214],"dataset.":[219],"Our":[220],"codes":[221],"found":[224],"\\urlhttps://github.com/LiangSiyuan21/Imitated-Detectors.":[226]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":7}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2022-10-10T00:00:00"}
