{"id":"https://openalex.org/W4400121015","doi":"https://doi.org/10.1145/3634737.3657002","title":"Model Extraction Attacks Revisited","display_name":"Model Extraction Attacks Revisited","publication_year":2024,"publication_date":"2024-06-28","ids":{"openalex":"https://openalex.org/W4400121015","doi":"https://doi.org/10.1145/3634737.3657002"},"language":"en","primary_location":{"id":"doi:10.1145/3634737.3657002","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3634737.3657002","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3634737.3657002?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3634737.3657002?download=true","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101456570","display_name":"Jiacheng Liang","orcid":"https://orcid.org/0009-0006-0116-7664"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Jiacheng Liang","raw_affiliation_strings":["Stony Brook University, Stony Brook, United States"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, United States","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021575600","display_name":"Ren Pang","orcid":"https://orcid.org/0009-0000-2474-4491"},"institutions":[{"id":"https://openalex.org/I130769515","display_name":"Pennsylvania State University","ror":"https://ror.org/04p491231","country_code":"US","type":"education","lineage":["https://openalex.org/I130769515"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ren Pang","raw_affiliation_strings":["Penn State University, State College, United States"],"affiliations":[{"raw_affiliation_string":"Penn State University, State College, United States","institution_ids":["https://openalex.org/I130769515"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101504674","display_name":"Changjiang Li","orcid":"https://orcid.org/0000-0002-1671-7183"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Changjiang Li","raw_affiliation_strings":["Stony Brook University, Stony Brook, USA"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, USA","institution_ids":["https://openalex.org/I59553526"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100428026","display_name":"Ting Wang","orcid":"https://orcid.org/0000-0003-4927-5833"},"institutions":[{"id":"https://openalex.org/I59553526","display_name":"Stony Brook University","ror":"https://ror.org/05qghxh33","country_code":"US","type":"education","lineage":["https://openalex.org/I59553526"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ting Wang","raw_affiliation_strings":["Stony Brook University, Stony Brook, United States"],"affiliations":[{"raw_affiliation_string":"Stony Brook University, Stony Brook, United States","institution_ids":["https://openalex.org/I59553526"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101456570"],"corresponding_institution_ids":["https://openalex.org/I59553526"],"apc_list":null,"apc_paid":null,"fwci":5.4507,"has_fulltext":true,"cited_by_count":16,"citation_normalized_percentile":{"value":0.96227735,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1231","last_page":"1245"},"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.991100013256073,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9907000064849854,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.6420888900756836},{"id":"https://openalex.org/keywords/extraction","display_name":"Extraction (chemistry)","score":0.48173788189888},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.34092777967453003}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6420888900756836},{"id":"https://openalex.org/C4725764","wikidata":"https://www.wikidata.org/wiki/Q844704","display_name":"Extraction (chemistry)","level":2,"score":0.48173788189888},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.34092777967453003},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3634737.3657002","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3634737.3657002","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3634737.3657002?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3634737.3657002","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3634737.3657002","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3634737.3657002?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 19th ACM Asia Conference on Computer and Communications Security","raw_type":"proceedings-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2366221679","display_name":null,"funder_award_id":"1953813","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5071890890","display_name":null,"funder_award_id":"2119331","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G6745464978","display_name":null,"funder_award_id":"2212323","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G7501644542","display_name":null,"funder_award_id":"1951729","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G848032724","display_name":null,"funder_award_id":"Science","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/W4400121015.pdf","grobid_xml":"https://content.openalex.org/works/W4400121015.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W2069065514","https://openalex.org/W2615497679","https://openalex.org/W2889978276","https://openalex.org/W3034368386","https://openalex.org/W3122215137","https://openalex.org/W3138154797","https://openalex.org/W3152877579","https://openalex.org/W3202495522","https://openalex.org/W4200426685","https://openalex.org/W4213245422","https://openalex.org/W4226049484","https://openalex.org/W4237553629","https://openalex.org/W4242446209","https://openalex.org/W4365790479"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2382290278","https://openalex.org/W4395014643"],"abstract_inverted_index":{"Model":[0],"extraction":[1],"(ME)":[2],"attacks":[3,31,51,68],"represent":[4],"one":[5],"major":[6],"threat":[7],"to":[8,66],"Machine-Learning-as-a-Service":[9],"(MLaaS)":[10],"platforms":[11,65],"by":[12],"\"stealing\"":[13],"the":[14,36,56,61],"functionality":[15],"of":[16,63],"confidential":[17],"machine-learning":[18],"models":[19],"through":[20],"querying":[21],"black-box":[22],"APIs.":[23],"Over":[24],"seven":[25],"years":[26],"have":[27,45],"passed":[28],"since":[29],"ME":[30,50,67],"were":[32],"first":[33],"conceptualized":[34],"in":[35,48],"seminal":[37],"work":[38],"[75].":[39],"During":[40],"this":[41],"period,":[42],"substantial":[43],"advances":[44],"been":[46,69],"made":[47],"both":[49],"and":[52],"MLaaS":[53,64],"platforms,":[54],"raising":[55],"intriguing":[57],"question:":[58],"How":[59],"has":[60],"vulnerability":[62],"evolving?":[70]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":14},{"year":2024,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2025-10-10T00:00:00"}