{"id":"https://openalex.org/W4400233900","doi":"https://doi.org/10.1109/iscas58744.2024.10558566","title":"Streamlining DNN Obfuscation to Defend Against Model Stealing Attacks","display_name":"Streamlining DNN Obfuscation to Defend Against Model Stealing Attacks","publication_year":2024,"publication_date":"2024-05-19","ids":{"openalex":"https://openalex.org/W4400233900","doi":"https://doi.org/10.1109/iscas58744.2024.10558566"},"language":"en","primary_location":{"id":"doi:10.1109/iscas58744.2024.10558566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","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/A5100629959","display_name":"Yidan Sun","orcid":"https://orcid.org/0000-0002-3607-4963"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Yidan Sun","raw_affiliation_strings":["Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002694277","display_name":"Siew-Kei Lam","orcid":"https://orcid.org/0000-0002-8346-2635"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Siew-Kei Lam","raw_affiliation_strings":["Nanyang Technological University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanyang Technological University","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076931362","display_name":"Guiyuan Jiang","orcid":"https://orcid.org/0000-0002-1398-821X"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guiyuan Jiang","raw_affiliation_strings":["Ocean University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053523719","display_name":"Peilan He","orcid":"https://orcid.org/0000-0002-7411-2801"},"institutions":[{"id":"https://openalex.org/I59028903","display_name":"Ocean University of China","ror":"https://ror.org/04rdtx186","country_code":"CN","type":"education","lineage":["https://openalex.org/I59028903"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peilan He","raw_affiliation_strings":["Ocean University of China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ocean University of China","institution_ids":["https://openalex.org/I59028903"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.6109,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.72510197,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"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":0.9994999766349792,"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":0.9994999766349792,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9664000272750854,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9629999995231628,"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/obfuscation","display_name":"Obfuscation","score":0.9136512279510498},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7517794966697693},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.6567175984382629}],"concepts":[{"id":"https://openalex.org/C40305131","wikidata":"https://www.wikidata.org/wiki/Q2616305","display_name":"Obfuscation","level":2,"score":0.9136512279510498},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7517794966697693},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6567175984382629}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iscas58744.2024.10558566","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iscas58744.2024.10558566","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Symposium on Circuits and Systems (ISCAS)","raw_type":"proceedings-article"},{"id":"pmh:oai:dr.ntu.edu.sg:10356/178547","is_oa":false,"landing_page_url":"https://hdl.handle.net/10356/178547","pdf_url":null,"source":{"id":"https://openalex.org/S4306402609","display_name":"DR-NTU (Nanyang Technological University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I172675005","host_organization_name":"Nanyang Technological University","host_organization_lineage":["https://openalex.org/I172675005"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320311649","display_name":"Ministry of Education","ror":"https://ror.org/036nq5137"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2001496424","https://openalex.org/W2127141656","https://openalex.org/W2891810898","https://openalex.org/W2895073576","https://openalex.org/W2906869444","https://openalex.org/W2973734023","https://openalex.org/W2974645258","https://openalex.org/W3046853140","https://openalex.org/W3102836279","https://openalex.org/W3183268554","https://openalex.org/W4226176886","https://openalex.org/W4246001895","https://openalex.org/W4312076514","https://openalex.org/W4312473281","https://openalex.org/W4319323323","https://openalex.org/W6751349269","https://openalex.org/W6753937820","https://openalex.org/W6755424845","https://openalex.org/W6758096801","https://openalex.org/W6842266614","https://openalex.org/W6849852039"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W4224216661","https://openalex.org/W3210347767","https://openalex.org/W2066014542","https://openalex.org/W67940504","https://openalex.org/W2024170198","https://openalex.org/W2152144666","https://openalex.org/W1819617256","https://openalex.org/W4308699695"],"abstract_inverted_index":{"Side-channel-based":[0],"Deep":[1],"Neural":[2],"Network":[3],"(DNN)":[4],"model":[5,152],"stealing":[6,153],"has":[7],"become":[8],"a":[9,92,140,155,158,176],"major":[10],"concern":[11],"with":[12],"the":[13,30,38,72,80,87,115,121,130],"advent":[14],"of":[15,71,82,117,157],"learning-based":[16],"attacks.":[17,188],"In":[18,75],"respond":[19],"to":[20,28,36,104,182],"this":[21,76],"threat,":[22],"defence":[23,88],"mechanisms":[24],"have":[25],"been":[26],"presented":[27],"obfuscate":[29],"DNN":[31,44,49,58,94,118,151,173,185],"execution,":[32],"making":[33],"it":[34],"difficult":[35],"infer":[37],"correlation":[39],"between":[40],"side-channel":[41,187],"information":[42],"and":[43,65,90,101],"architecture.":[45],"However,":[46],"state-of-the-art":[47],"(SOTA)":[48],"obfuscation":[50,84,95,163],"is":[51,98,102],"time-consuming,":[52],"requires":[53],"expert-level":[54],"changes":[55],"in":[56,132],"existing":[57,172],"compilers":[59,174],"(e.g.,":[60],"Tensor":[61],"Virtual":[62],"Machine":[63],"(TVM)),":[64],"often":[66],"relies":[67],"on":[68,86,120],"prior":[69],"knowledge":[70],"attack":[73,106,134],"models.":[74,107],"work,":[77],"we":[78,123],"study":[79,109],"impact":[81],"various":[83],"levels":[85],"effectiveness,":[89],"present":[91],"streamlined":[93],"process":[96],"that":[97,111,143],"extremely":[99],"fast":[100],"agnostic":[103,135],"any":[105],"Our":[108,165],"reveals":[110],"by":[112,161,180],"just":[113],"modifying":[114],"scheduling":[116,147],"operations":[119],"GPU,":[122],"can":[124,167],"achieve":[125],"comparable":[126],"defense":[127],"performance":[128],"as":[129,175],"SOTA":[131,162],"an":[133,145],"manner.":[136],"We":[137],"also":[138],"propose":[139],"simple":[141],"algorithm":[142],"determines":[144],"effective":[146],"configuration":[148],"for":[149],"mitigating":[150],"at":[154],"fraction":[156],"time":[159],"required":[160],"methods.":[164],"method":[166],"be":[168],"easily":[169],"integrated":[170],"into":[171],"security":[177],"feature,":[178],"even":[179],"non-experts,":[181],"protect":[183],"their":[184],"against":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
