{"id":"https://openalex.org/W4372266935","doi":"https://doi.org/10.1109/icassp49357.2023.10094956","title":"APGP: Accuracy-Preserving Generative Perturbation for Defending Against Model Cloning Attacks","display_name":"APGP: Accuracy-Preserving Generative Perturbation for Defending Against Model Cloning Attacks","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372266935","doi":"https://doi.org/10.1109/icassp49357.2023.10094956"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10094956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10094956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5038610148","display_name":"Anda Cheng","orcid":null},"institutions":[{"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"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Anda Cheng","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation","School of Artificial Intelligence, University of Chinese Academy of Sciences","Institute of Automation, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"School of Artificial Intelligence, University of Chinese Academy of Sciences","institution_ids":["https://openalex.org/I4210165038"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009949350","display_name":"Jian Cheng","orcid":"https://orcid.org/0009-0008-7059-9764"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cheng","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Automation","Institute of Automation, Chinese Academy of Sciences"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Automation","institution_ids":["https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5038610148"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.1746,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.52320854,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"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":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9142000079154968,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9136999845504761,"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/cloning","display_name":"Cloning (programming)","score":0.7409934997558594},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7297423481941223},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6687585711479187},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.624243438243866},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5563908815383911},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.48362863063812256},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4476015269756317},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.4357638955116272},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4329959750175476},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.3269856572151184},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.08764779567718506}],"concepts":[{"id":"https://openalex.org/C121050878","wikidata":"https://www.wikidata.org/wiki/Q5135020","display_name":"Cloning (programming)","level":2,"score":0.7409934997558594},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7297423481941223},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6687585711479187},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.624243438243866},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5563908815383911},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48362863063812256},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4476015269756317},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.4357638955116272},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4329959750175476},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.3269856572151184},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.08764779567718506},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10094956","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10094956","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W1821462560","https://openalex.org/W2603766943","https://openalex.org/W2768064608","https://openalex.org/W2787075213","https://openalex.org/W2963140444","https://openalex.org/W2963303354","https://openalex.org/W2964318098","https://openalex.org/W2971316517","https://openalex.org/W2973414778","https://openalex.org/W2996649838","https://openalex.org/W2997006708","https://openalex.org/W3035379805","https://openalex.org/W3102733833","https://openalex.org/W3105676597","https://openalex.org/W3122816624","https://openalex.org/W4283807635","https://openalex.org/W4294506858","https://openalex.org/W6638523607","https://openalex.org/W6718639682","https://openalex.org/W6736092963","https://openalex.org/W6747838042","https://openalex.org/W6772101090","https://openalex.org/W6788971340"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4299831724","https://openalex.org/W4283803360"],"abstract_inverted_index":{"Well-trained":[0],"Deep":[1],"Neural":[2],"Networks":[3],"(DNNs)":[4],"are":[5],"valuable":[6],"intellectual":[7],"properties.":[8],"Recent":[9],"studies":[10],"show":[11],"that":[12],"adversaries":[13],"only":[14],"with":[15],"black-box":[16],"query":[17],"access":[18],"can":[19],"steal":[20],"the":[21,65,81,95],"functionality":[22],"of":[23,83],"DNNs":[24],"by":[25],"using":[26],"knowledge":[27],"distillation":[28],"(KD)":[29],"techniques.":[30],"In":[31],"this":[32],"paper,":[33],"we":[34,46],"propose":[35],"a":[36,51],"novel":[37],"formulation":[38],"to":[39,67,98],"defend":[40,69],"against":[41,70],"model":[42,72,76,91],"cloning":[43,73,92],"attacks.":[44],"Then":[45],"implement":[47],"our":[48,84],"defense":[49,85],"as":[50,57],"plug-and-play":[52],"generative":[53],"perturbation":[54],"model,":[55],"dubbed":[56],"Accuracy-Preserving":[58],"Generative":[59],"Perturbation":[60],"(APGP).":[61],"Our":[62],"method":[63],"is":[64],"first":[66],"effectively":[68],"KD-based":[71],"without":[74],"damaging":[75],"accuracy.":[77],"Numerous":[78],"experiments":[79],"demonstrate":[80],"effectiveness":[82],"across":[86],"different":[87],"datasets":[88],"and":[89,94],"DNN":[90],"attacks,":[93],"advances":[96],"compared":[97],"existing":[99],"methods.":[100]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
