{"id":"https://openalex.org/W3200953672","doi":"https://doi.org/10.1145/3460231.3474275","title":"Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction","display_name":"Black-Box Attacks on Sequential Recommenders via Data-Free Model Extraction","publication_year":2021,"publication_date":"2021-09-13","ids":{"openalex":"https://openalex.org/W3200953672","doi":"https://doi.org/10.1145/3460231.3474275","mag":"3200953672"},"language":"en","primary_location":{"id":"doi:10.1145/3460231.3474275","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460231.3474275","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460231.3474275","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fifteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3460231.3474275","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5048013870","display_name":"Zhenrui Yue","orcid":"https://orcid.org/0000-0002-0309-2065"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Zhenrui Yue","raw_affiliation_strings":["Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5061585298","display_name":"Zhankui He","orcid":"https://orcid.org/0000-0002-9139-8004"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhankui He","raw_affiliation_strings":["UC San Diego, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC San Diego, United States","institution_ids":["https://openalex.org/I36258959"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101960707","display_name":"Huimin Zeng","orcid":"https://orcid.org/0000-0003-0198-2352"},"institutions":[{"id":"https://openalex.org/I62916508","display_name":"Technical University of Munich","ror":"https://ror.org/02kkvpp62","country_code":"DE","type":"education","lineage":["https://openalex.org/I62916508"]}],"countries":["DE"],"is_corresponding":false,"raw_author_name":"Huimin Zeng","raw_affiliation_strings":["Technical University of Munich, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Technical University of Munich, Germany","institution_ids":["https://openalex.org/I62916508"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021827617","display_name":"Julian McAuley","orcid":"https://orcid.org/0000-0003-0955-7588"},"institutions":[{"id":"https://openalex.org/I36258959","display_name":"University of California San Diego","ror":"https://ror.org/0168r3w48","country_code":"US","type":"education","lineage":["https://openalex.org/I36258959"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Julian McAuley","raw_affiliation_strings":["UC San Diego, United States"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"UC San Diego, United States","institution_ids":["https://openalex.org/I36258959"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":5.8557,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.9711231,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"44","last_page":"54"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991000294685364,"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":0.9991000294685364,"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/T13702","display_name":"Machine Learning in Healthcare","score":0.9979000091552734,"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/T10028","display_name":"Topic Modeling","score":0.9975000023841858,"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":0.8586695194244385},{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.6935471296310425},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.5924922823905945},{"id":"https://openalex.org/keywords/autoregressive-model","display_name":"Autoregressive model","score":0.480394184589386},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.43678510189056396},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3931160569190979},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36874574422836304},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3257848620414734},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.3236130475997925},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.18155112862586975}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8586695194244385},{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.6935471296310425},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.5924922823905945},{"id":"https://openalex.org/C159877910","wikidata":"https://www.wikidata.org/wiki/Q2202883","display_name":"Autoregressive model","level":2,"score":0.480394184589386},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.43678510189056396},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3931160569190979},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36874574422836304},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3257848620414734},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.3236130475997925},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.18155112862586975},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3460231.3474275","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460231.3474275","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460231.3474275","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fifteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3460231.3474275","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3460231.3474275","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3460231.3474275","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Fifteenth ACM Conference on Recommender Systems","raw_type":"proceedings-article"},"sustainable_development_goals":[{"score":0.800000011920929,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3200953672.pdf","grobid_xml":"https://content.openalex.org/works/W3200953672.grobid-xml"},"referenced_works_count":39,"referenced_works":["https://openalex.org/W33808135","https://openalex.org/W1450860479","https://openalex.org/W1935158432","https://openalex.org/W1977290284","https://openalex.org/W2027731328","https://openalex.org/W2072651985","https://openalex.org/W2099471712","https://openalex.org/W2138899136","https://openalex.org/W2171279286","https://openalex.org/W2219888463","https://openalex.org/W2296452361","https://openalex.org/W2461943168","https://openalex.org/W2509109313","https://openalex.org/W2603766943","https://openalex.org/W2605350416","https://openalex.org/W2613314732","https://openalex.org/W2768020615","https://openalex.org/W2783272285","https://openalex.org/W2896457183","https://openalex.org/W2944977718","https://openalex.org/W2963207607","https://openalex.org/W2963303354","https://openalex.org/W2963367478","https://openalex.org/W2964044287","https://openalex.org/W2964296635","https://openalex.org/W2971196067","https://openalex.org/W2971970905","https://openalex.org/W2972646741","https://openalex.org/W2984100107","https://openalex.org/W2994896922","https://openalex.org/W2996851481","https://openalex.org/W3012794253","https://openalex.org/W3012798016","https://openalex.org/W3031339255","https://openalex.org/W3034530016","https://openalex.org/W3048511744","https://openalex.org/W3119520312","https://openalex.org/W3136856676","https://openalex.org/W4239019441"],"related_works":["https://openalex.org/W4390273403","https://openalex.org/W4386781444","https://openalex.org/W3092950680","https://openalex.org/W4246980185","https://openalex.org/W2150182025","https://openalex.org/W3197542405","https://openalex.org/W2418190244","https://openalex.org/W4238861846","https://openalex.org/W3125580266","https://openalex.org/W44246808"],"abstract_inverted_index":{"We":[0,46,115],"investigate":[1,116],"whether":[2],"model":[3,81,104,127],"extraction":[4,105,128],"can":[5],"be":[6],"used":[7,63,76],"to":[8,21,39,54,58,64,77,84],"\u2018steal\u2019":[9],"the":[10,17,59,74,79],"weights":[11],"of":[12,23,28],"sequential":[13,49,120],"recommender":[14,44,50,70],"systems,":[15],"and":[16,35,112,122,129],"potential":[18],"threats":[19],"posed":[20],"victims":[22],"such":[24],"attacks.":[25,131],"This":[26],"type":[27],"risk":[29],"has":[30],"attracted":[31],"attention":[32],"in":[33,43],"image":[34],"text":[36],"classification,":[37],"but":[38],"our":[40],"knowledge":[41,113],"not":[42,95],"systems.":[45],"argue":[47],"that":[48],"systems":[51],"are":[52,94],"subject":[53],"unique":[55],"vulnerabilities":[56],"due":[57],"specific":[60],"autoregressive":[61],"regimes":[62],"train":[65,78],"them.":[66],"Unlike":[67],"many":[68],"existing":[69],"attackers,":[71,85],"which":[72],"assume":[73],"dataset":[75],"victim":[80],"is":[82],"exposed":[83],"we":[86,100],"consider":[87],"a":[88],"data-free":[89],"setting,":[90,99],"where":[91],"training":[92],"data":[93,110],"accessible.":[96],"Under":[97],"this":[98],"propose":[101],"an":[102],"API-based":[103],"method":[106],"via":[107],"limited-budget":[108],"synthetic":[109],"generation":[111],"distillation.":[114],"state-of-the-art":[117],"models":[118],"for":[119],"recommendation":[121],"show":[123],"their":[124],"vulnerability":[125],"under":[126],"downstream":[130]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":16},{"year":2024,"cited_by_count":19},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":5}],"updated_date":"2026-08-12T21:12:35.861297","created_date":"2025-10-10T00:00:00"}
