{"id":"https://openalex.org/W3135509915","doi":"https://doi.org/10.1109/asianhost51057.2020.9358260","title":"HybridTEE: Secure Mobile DNN Execution Using Hybrid Trusted Execution Environment","display_name":"HybridTEE: Secure Mobile DNN Execution Using Hybrid Trusted Execution Environment","publication_year":2020,"publication_date":"2020-12-15","ids":{"openalex":"https://openalex.org/W3135509915","doi":"https://doi.org/10.1109/asianhost51057.2020.9358260","mag":"3135509915"},"language":"en","primary_location":{"id":"doi:10.1109/asianhost51057.2020.9358260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asianhost51057.2020.9358260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)","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/A5036398989","display_name":"Akshay Gangal","orcid":null},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Akshay Gangal","raw_affiliation_strings":["Department of Electrical and Computer Engineering Rutgers University,Piscataway,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Rutgers University,Piscataway,NJ,USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065008304","display_name":"Mengmei Ye","orcid":"https://orcid.org/0000-0002-3434-1968"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Mengmei Ye","raw_affiliation_strings":["Department of Electrical and Computer Engineering Rutgers University,Piscataway,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Rutgers University,Piscataway,NJ,USA","institution_ids":["https://openalex.org/I102322142"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5027533078","display_name":"Sheng Wei","orcid":"https://orcid.org/0000-0003-4943-3360"},"institutions":[{"id":"https://openalex.org/I102322142","display_name":"Rutgers, The State University of New Jersey","ror":"https://ror.org/05vt9qd57","country_code":"US","type":"education","lineage":["https://openalex.org/I102322142"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Wei","raw_affiliation_strings":["Department of Electrical and Computer Engineering Rutgers University,Piscataway,NJ,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering Rutgers University,Piscataway,NJ,USA","institution_ids":["https://openalex.org/I102322142"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036398989"],"corresponding_institution_ids":["https://openalex.org/I102322142"],"apc_list":null,"apc_paid":null,"fwci":1.3599,"has_fulltext":false,"cited_by_count":19,"citation_normalized_percentile":{"value":0.858949,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"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":0.9991999864578247,"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":0.9991999864578247,"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/T11424","display_name":"Security and Verification in Computing","score":0.9984999895095825,"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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9976999759674072,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8871598243713379},{"id":"https://openalex.org/keywords/mobile-device","display_name":"Mobile device","score":0.5844210386276245},{"id":"https://openalex.org/keywords/scalability","display_name":"Scalability","score":0.4120092988014221},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.37926074862480164},{"id":"https://openalex.org/keywords/distributed-computing","display_name":"Distributed computing","score":0.3713739514350891},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.33882084488868713},{"id":"https://openalex.org/keywords/operating-system","display_name":"Operating system","score":0.2858348488807678}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8871598243713379},{"id":"https://openalex.org/C186967261","wikidata":"https://www.wikidata.org/wiki/Q5082128","display_name":"Mobile device","level":2,"score":0.5844210386276245},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.4120092988014221},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.37926074862480164},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.3713739514350891},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.33882084488868713},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.2858348488807678}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/asianhost51057.2020.9358260","is_oa":false,"landing_page_url":"https://doi.org/10.1109/asianhost51057.2020.9358260","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 Asian Hardware Oriented Security and Trust Symposium (AsianHOST)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W1506423323","https://openalex.org/W2108598243","https://openalex.org/W2124386111","https://openalex.org/W2724616073","https://openalex.org/W2753783305","https://openalex.org/W2805074088","https://openalex.org/W2808563137","https://openalex.org/W2899435347","https://openalex.org/W2899869491","https://openalex.org/W2937699832","https://openalex.org/W2963037989","https://openalex.org/W2963750162","https://openalex.org/W2964318098","https://openalex.org/W2970731090","https://openalex.org/W3016075089","https://openalex.org/W3048665067","https://openalex.org/W3095614308","https://openalex.org/W3097981673","https://openalex.org/W4287627556","https://openalex.org/W6628973269","https://openalex.org/W6718639682","https://openalex.org/W6751922297","https://openalex.org/W6755958147","https://openalex.org/W6761235578","https://openalex.org/W6767246738","https://openalex.org/W6782350033","https://openalex.org/W6784599125"],"related_works":["https://openalex.org/W2389214306","https://openalex.org/W2965083567","https://openalex.org/W1982914007","https://openalex.org/W2159583675","https://openalex.org/W1852113167","https://openalex.org/W1493858311","https://openalex.org/W1824242903","https://openalex.org/W2155470929","https://openalex.org/W2394465510","https://openalex.org/W2111125783"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"have":[4,45],"been":[5,47],"increasingly":[6],"adopted":[7],"in":[8,62,89],"many":[9],"mobile":[10,30,51,75],"applications":[11],"involving":[12],"security":[13,83,164,178],"sensitive":[14],"data":[15],"and":[16,69,122,134,149,165,179],"inference":[17],"models.":[18],"Therefore,":[19],"there":[20],"is":[21,56],"an":[22],"increasing":[23],"demand":[24],"for":[25,49],"secure":[26,50,153],"DNN":[27,52,60,103,117,157,183],"execution":[28,38,187],"on":[29,131,168],"devices.":[31],"Catering":[32],"to":[33,58,65,85,105,151,190],"this":[34],"demand,":[35],"hardware-based":[36,82],"trusted":[37],"environments":[39],"(TEEs),":[40],"such":[41],"as":[42],"ARM":[43,95],"TrustZone,":[44,63],"recently":[46],"considered":[48],"execution.":[53],"However,":[54],"it":[55,141],"challenging":[57],"run":[59],"models":[61],"due":[64],"the":[66,74,90,102,116,156,160,177,182,191],"stringent":[67],"resource":[68],"performance":[70,166],"limitations":[71],"posed":[72],"by":[73,97,125],"TEE.":[76],"We":[77],"develop":[78],"HybridTEE,":[79],"a":[80,99,106,143],"novel":[81],"framework":[84],"securely":[86],"execute":[87],"DNNs":[88],"resource-constrained":[91],"local":[92,121],"TEE":[93,109,193],"(i.e.,":[94,110],"TrustZone),":[96],"offloading":[98,154],"part":[100],"of":[101,155,181],"model":[104,118,158,184],"resource-rich":[107],"remote":[108,123],"Intel":[111],"SGX).":[112],"HybridTEE":[113,174],"strategically":[114],"divides":[115],"into":[119],"privacy-aware":[120],"partitions":[124],"employing":[126],"two":[127,161],"privacy-oriented":[128],"metrics":[129],"based":[130],"object":[132],"recognition":[133],"Scale":[135],"Invariant":[136],"Feature":[137],"Transform":[138],"(SIFT).":[139],"Also,":[140],"builds":[142],"trustworthy":[144],"communication":[145],"channel":[146],"bridging":[147],"TrustZone":[148],"SGX":[150],"enable":[152],"between":[159],"TEEs.":[162],"Our":[163],"evaluations":[167],"real":[169],"hardware":[170],"systems":[171],"show":[172],"that":[173],"can":[175],"ensure":[176],"privacy":[180],"with":[185],"superior":[186],"time":[188],"compared":[189],"non-":[192],"baseline.":[194]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":4},{"year":2021,"cited_by_count":1}],"updated_date":"2026-05-04T08:30:34.212998","created_date":"2025-10-10T00:00:00"}