乐胖代购免代理版

{"id":"https://openalex.org/W3153809445","doi":"https://doi.org/10.1109/trustcom53373.2021.00126","title":"Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles","display_name":"Robust Sensor Fusion Algorithms Against Voice Command Attacks in Autonomous Vehicles","publication_year":2021,"publication_date":"2021-10-01","ids":{"openalex":"https://openalex.org/W3153809445","doi":"https://doi.org/10.1109/trustcom53373.2021.00126","mag":"3153809445"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom53373.2021.00126","pdf_url":null,"source":{"id":"https://openalex.org/S4363608016","display_name":"2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2104.09872","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5062532231","display_name":"Jiwei Guan","orcid":"https://orcid.org/0000-0002-9290-3308"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jiwei Guan","raw_affiliation_strings":["Macquarie University,Department of Computing,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University,Department of Computing,Sydney,Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5081182489","display_name":"Xi Zheng","orcid":"https://orcid.org/0000-0002-2572-2355"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Xi Zheng","raw_affiliation_strings":["Macquarie University,Department of Computing,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University,Department of Computing,Sydney,Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100337560","display_name":"Chen Wang","orcid":"https://orcid.org/0000-0002-3119-4763"},"institutions":[{"id":"https://openalex.org/I42894916","display_name":"Data61","ror":"https://ror.org/03q397159","country_code":"AU","type":"other","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I42894916","https://openalex.org/I4387156119"]},{"id":"https://openalex.org/I1292875679","display_name":"Commonwealth Scientific and Industrial Research Organisation","ror":"https://ror.org/03qn8fb07","country_code":"AU","type":"government","lineage":["https://openalex.org/I1292875679","https://openalex.org/I2801453606","https://openalex.org/I4387156119"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Chen Wang","raw_affiliation_strings":["CSIRO Data61,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"CSIRO Data61,Sydney,Australia","institution_ids":["https://openalex.org/I42894916","https://openalex.org/I1292875679"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029669009","display_name":"Yipeng Zhou","orcid":"https://orcid.org/0000-0003-1533-0865"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Yipeng Zhou","raw_affiliation_strings":["Macquarie University,Department of Computing,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University,Department of Computing,Sydney,Australia","institution_ids":["https://openalex.org/I99043593"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045461052","display_name":"Alireza Jolfaei","orcid":"https://orcid.org/0000-0001-7818-459X"},"institutions":[{"id":"https://openalex.org/I99043593","display_name":"Macquarie University","ror":"https://ror.org/01sf06y89","country_code":"AU","type":"education","lineage":["https://openalex.org/I99043593"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Alireza Jolfaei","raw_affiliation_strings":["Macquarie University,Department of Computing,Sydney,Australia"],"affiliations":[{"raw_affiliation_string":"Macquarie University,Department of Computing,Sydney,Australia","institution_ids":["https://openalex.org/I99043593"]}]}],"institution_assertions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.431,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.553251,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":79},"biblio":{"volume":null,"issue":null,"first_page":"895","last_page":"902"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9986,"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":0.9986,"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":0.9973,"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/T10201","display_name":"Speech Recognition and Synthesis","score":0.9751,"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/driver-assistance-systems","display_name":"Driver Assistance Systems","score":0.568589},{"id":"https://openalex.org/keywords/sensor-fusion","display_name":"Sensor Fusion","score":0.552579},{"id":"https://openalex.org/keywords/command-and-control","display_name":"Command and control","score":0.5341121},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.5174375},{"id":"https://openalex.org/keywords/collision-avoidance","display_name":"Collision Avoidance","score":0.512102}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8246268},{"id":"https://openalex.org/C2778263558","wikidata":"https://www.wikidata.org/wiki/Q46384","display_name":"Microphone","level":3,"score":0.568292},{"id":"https://openalex.org/C506615639","wikidata":"https://www.wikidata.org/wiki/Q21662260","display_name":"Command and control","level":2,"score":0.5341121},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.5174375},{"id":"https://openalex.org/C33954974","wikidata":"https://www.wikidata.org/wiki/Q486494","display_name":"Sensor fusion","level":2,"score":0.43939567},{"id":"https://openalex.org/C79403827","wikidata":"https://www.wikidata.org/wiki/Q3988","display_name":"Real-time computing","level":1,"score":0.40984875},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40871322},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3345177},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.14832538},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C68115822","wikidata":"https://www.wikidata.org/wiki/Q1068172","display_name":"Sound pressure","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/trustcom53373.2021.00126","pdf_url":null,"source":{"id":"https://openalex.org/S4363608016","display_name":"2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2104.09872","pdf_url":"https://arxiv.org/pdf/2104.09872","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2104.09872","pdf_url":"https://arxiv.org/pdf/2104.09872","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[{"funder":"https://openalex.org/F4320334704","funder_display_name":"Australian Research Council","award_id":"LP190100676"}],"datasets":[],"versions":[],"referenced_works_count":42,"referenced_works":["https://openalex.org/W1539811621","https://openalex.org/W1902934009","https://openalex.org/W2047030012","https://openalex.org/W2095705004","https://openalex.org/W2104657103","https://openalex.org/W2117876524","https://openalex.org/W2158449659","https://openalex.org/W2187089797","https://openalex.org/W2267635276","https://openalex.org/W2319920447","https://openalex.org/W2486441166","https://openalex.org/W2618398196","https://openalex.org/W2618530766","https://openalex.org/W264320815","https://openalex.org/W2747678151","https://openalex.org/W2751902866","https://openalex.org/W2753301142","https://openalex.org/W2778100917","https://openalex.org/W2797583228","https://openalex.org/W2799174307","https://openalex.org/W2884585870","https://openalex.org/W2924522543","https://openalex.org/W2962717526","https://openalex.org/W2963066927","https://openalex.org/W2963114950","https://openalex.org/W2963403868","https://openalex.org/W2963519230","https://openalex.org/W2963521239","https://openalex.org/W2963744840","https://openalex.org/W2963815618","https://openalex.org/W2964008506","https://openalex.org/W2979693763","https://openalex.org/W2979717817","https://openalex.org/W2986592617","https://openalex.org/W2995201943","https://openalex.org/W3007913795","https://openalex.org/W3008115128","https://openalex.org/W3048968121","https://openalex.org/W3118479569","https://openalex.org/W3136763764","https://openalex.org/W4295262505","https://openalex.org/W4385245566"],"related_works":["https://openalex.org/W4390282541","https://openalex.org/W4289829835","https://openalex.org/W2996710020","https://openalex.org/W2357191878","https://openalex.org/W2142945567","https://openalex.org/W2030332364","https://openalex.org/W2005459225","https://openalex.org/W1997078944","https://openalex.org/W1968065688","https://openalex.org/W1552846815"],"abstract_inverted_index":{"With":[0],"recent":[1],"advances":[2],"in":[3,34,62],"autonomous":[4],"driving,":[5],"voice":[6,23],"control":[7,26],"systems":[8],"have":[9],"become":[10],"increasingly":[11],"adopted":[12],"as":[13],"human-vehicle":[14],"interaction":[15],"methods.":[16],"This":[17,56],"technology":[18],"enables":[19],"drivers":[20],"to":[21,25,52,60,73,76,84,94,122],"use":[22],"commands":[24],"the":[27,132,135,140],"vehicle":[28],"and":[29,47,65,139],"will":[30],"be":[31,58],"soon":[32],"available":[33,148],"Advanced":[35],"Driver":[36],"Assistance":[37],"Systems":[38],"(ADAS).":[39],"Prior":[40],"work":[41],"has":[42],"shown":[43],"that":[44],"Siri,":[45],"Alexa":[46],"Cortana,":[48],"are":[49,102],"highly":[50],"vulnerable":[51],"inaudible":[53,68,97,125],"command":[54,69,98,126],"attacks.":[55,127],"could":[57],"extended":[59],"ADAS":[61,101],"real-world":[63],"applications":[64],"such":[66],"an":[67],"threat":[70],"is":[71,147],"difficult":[72],"detect":[74],"due":[75],"microphone":[77],"nonlinearities.":[78],"In":[79],"this":[80,111],"paper,":[81],"we":[82,113],"aim":[83],"develop":[85],"a":[86,115],"more":[87],"practical":[88],"solution":[89],"by":[90],"using":[91],"camera":[92],"views":[93],"defend":[95,123],"against":[96,124],"attacks":[99],"where":[100],"capable":[103],"of":[104,134],"detecting":[105],"their":[106],"environment":[107],"via":[108],"multi-sensors.":[109],"To":[110],"end,":[112],"propose":[114],"novel":[116],"multimodal":[117],"deep":[118],"learning":[119],"classification":[120,142],"system":[121],"Our":[128],"experimental":[129],"results":[130],"confirm":[131],"feasibility":[133],"proposed":[136],"defense":[137],"methods":[138],"best":[141],"accuracy":[143],"reaches":[144],"89.2%.":[145],"Code":[146],"at":[149],"https://github.com/ITSEG-MQ/Sensor-Fusion-Against-VoiceCommand-Attacks.":[150]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3153809445","counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2024-12-05T21:51:04.785399","created_date":"2021-04-26"}