{"id":"https://openalex.org/W4312301732","doi":"https://doi.org/10.1109/icce-berlin56473.2022.9937123","title":"Cloning Object Detectors","display_name":"Cloning Object Detectors","publication_year":2022,"publication_date":"2022-09-02","ids":{"openalex":"https://openalex.org/W4312301732","doi":"https://doi.org/10.1109/icce-berlin56473.2022.9937123"},"language":"en","primary_location":{"id":"doi:10.1109/icce-berlin56473.2022.9937123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin56473.2022.9937123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)","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/A5044483604","display_name":"Arne Aarts","orcid":"https://orcid.org/0009-0001-6407-3992"},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Arne Aarts","raw_affiliation_strings":["Eindhoven University of Technology,Eindhoven,The Netherlands","Eindhoven University of Technology, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5087182298","display_name":"Wil Michiels","orcid":null},"institutions":[{"id":"https://openalex.org/I83019370","display_name":"Eindhoven University of Technology","ror":"https://ror.org/02c2kyt77","country_code":"NL","type":"education","lineage":["https://openalex.org/I83019370"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Wil Michiels","raw_affiliation_strings":["Eindhoven University of Technology,Eindhoven,The Netherlands","Eindhoven University of Technology, Eindhoven, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Eindhoven University of Technology,Eindhoven,The Netherlands","institution_ids":["https://openalex.org/I83019370"]},{"raw_affiliation_string":"Eindhoven University of Technology, Eindhoven, The Netherlands","institution_ids":["https://openalex.org/I83019370"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5105939006","display_name":"Peter Roelse","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155963","display_name":"Western Digital (Netherlands)","ror":"https://ror.org/05f4fbs05","country_code":"NL","type":"company","lineage":["https://openalex.org/I4210121352","https://openalex.org/I4210155963"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Peter Roelse","raw_affiliation_strings":["Irdeto B.V.,Hoofddorp,The Netherlands","Irdeto B.V., Hoofddorp, The Netherlands"],"affiliations":[{"raw_affiliation_string":"Irdeto B.V.,Hoofddorp,The Netherlands","institution_ids":["https://openalex.org/I4210155963"]},{"raw_affiliation_string":"Irdeto B.V., Hoofddorp, The Netherlands","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5044483604"],"corresponding_institution_ids":["https://openalex.org/I83019370"],"apc_list":null,"apc_paid":null,"fwci":0.1327,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54638933,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"8693","issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9994000196456909,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9771999716758728,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.8229825496673584},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.723715603351593},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6241798996925354},{"id":"https://openalex.org/keywords/cloning","display_name":"Cloning (programming)","score":0.5912439227104187},{"id":"https://openalex.org/keywords/object","display_name":"Object (grammar)","score":0.5711530447006226},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.518592119216919},{"id":"https://openalex.org/keywords/oracle","display_name":"Oracle","score":0.49549567699432373},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4727295935153961},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.43643227219581604},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.09670224785804749}],"concepts":[{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.8229825496673584},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.723715603351593},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6241798996925354},{"id":"https://openalex.org/C121050878","wikidata":"https://www.wikidata.org/wiki/Q5135020","display_name":"Cloning (programming)","level":2,"score":0.5912439227104187},{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.5711530447006226},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.518592119216919},{"id":"https://openalex.org/C55166926","wikidata":"https://www.wikidata.org/wiki/Q2892946","display_name":"Oracle","level":2,"score":0.49549567699432373},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4727295935153961},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.43643227219581604},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.09670224785804749},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C115903868","wikidata":"https://www.wikidata.org/wiki/Q80993","display_name":"Software engineering","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce-berlin56473.2022.9937123","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce-berlin56473.2022.9937123","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE 12th International Conference on Consumer Electronics (ICCE-Berlin)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.49000000953674316,"display_name":"Industry, innovation and infrastructure","id":"https://metadata.un.org/sdg/9"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1977295328","https://openalex.org/W2037227137","https://openalex.org/W2479866714","https://openalex.org/W2557728737","https://openalex.org/W2750784772","https://openalex.org/W2944977718","https://openalex.org/W2963037989","https://openalex.org/W2963303354","https://openalex.org/W2963351448","https://openalex.org/W2963566548","https://openalex.org/W3119373805","https://openalex.org/W3121634539","https://openalex.org/W3176125085","https://openalex.org/W3178659068","https://openalex.org/W6743188669","https://openalex.org/W6760424586","https://openalex.org/W6762685017","https://openalex.org/W6786567679","https://openalex.org/W6789011712"],"related_works":["https://openalex.org/W2073713056","https://openalex.org/W3110702597","https://openalex.org/W2078761926","https://openalex.org/W2110441383","https://openalex.org/W2125620709","https://openalex.org/W1498872724","https://openalex.org/W4233149903","https://openalex.org/W4293864700","https://openalex.org/W2524540579","https://openalex.org/W2326878701"],"abstract_inverted_index":{"Object":[0],"detectors":[1,147],"based":[2],"on":[3,30,50],"neural":[4],"networks":[5],"are":[6],"deployed":[7],"in":[8,22,46,164],"various":[9],"consumer":[10],"electronics":[11],"products":[12],"to":[13,40,60,71,79,85,107],"predict":[14],"different":[15],"types":[16,99],"of":[17,67,100,111,156,166,173],"object":[18,31,43,94,130,146],"and":[19,37,120,127,132,138],"their":[20],"location":[21],"images.":[23],"This":[24],"paper":[25,103],"presents":[26],"a":[27,41,105,125,128,167],"cloning":[28,48,116],"attack":[29,55,117],"detectors,":[32],"using":[33],"problem":[34],"domain":[35],"samples":[36],"oracle":[38,58],"access":[39,59],"trained":[42],"detector.":[44,83,189],"As":[45],"known":[47],"attacks":[49],"image":[51,86],"classifiers,":[52,87],"the":[53,57,62,73,81,88,109,112,133,154,157,171,174,183,187],"presented":[54],"uses":[56],"label":[61],"samples.":[63],"The":[64,102,115,142],"resulting":[65],"set":[66],"labeled":[68],"samples,":[69],"referred":[70],"as":[72,186],"surrogate":[74,89,113,158,169],"dataset,":[75,170],"is":[76,160],"then":[77],"used":[78,182],"train":[80],"clone":[82,175],"Compared":[84],"dataset":[90,159],"created":[91],"by":[92],"an":[93],"detector":[95,176],"can":[96,148],"contain":[97],"more":[98],"error.":[101],"describes":[104],"way":[106],"assess":[108],"quality":[110,155,172],"dataset.":[114],"was":[118,177],"implemented,":[119],"experiments":[121],"were":[122],"conducted":[123],"with":[124],"CenterNet":[126],"RetinaNet":[129],"detector,":[131],"Oxford-IIIT":[134],"Pet,":[135],"Tsinghua-Tencent":[136],"100K,":[137],"WIDER":[139],"FACE":[140],"datasets.":[141],"results":[143],"show":[144],"that":[145],"be":[149],"cloned":[150],"successfully,":[151],"even":[152],"if":[153,180],"relatively":[161],"low.":[162],"However,":[163],"case":[165],"low-quality":[168],"only":[178],"high":[179],"it":[181],"same":[184],"architecture":[185],"target":[188]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
