{"id":"https://openalex.org/W4398787762","doi":"https://doi.org/10.1109/jiot.2024.3405006","title":"OptiCloak: Blinding Vision-Based Autonomous Driving Systems Through Adversarial Optical Projection","display_name":"OptiCloak: Blinding Vision-Based Autonomous Driving Systems Through Adversarial Optical Projection","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4398787762","doi":"https://doi.org/10.1109/jiot.2024.3405006"},"language":"en","primary_location":{"id":"doi:10.1109/jiot.2024.3405006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3405006","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-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/A5059415535","display_name":"Huixiang Wen","orcid":"https://orcid.org/0009-0003-6682-8927"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huixiang Wen","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0003-6682-8927","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5013173652","display_name":"Shan Chang","orcid":"https://orcid.org/0000-0002-5253-2549"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shan Chang","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5253-2549","affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101637721","display_name":"Zhou Luo","orcid":"https://orcid.org/0009-0007-0455-8086"},"institutions":[{"id":"https://openalex.org/I181326427","display_name":"Donghua University","ror":"https://ror.org/035psfh38","country_code":"CN","type":"education","lineage":["https://openalex.org/I181326427"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Luo Zhou","raw_affiliation_strings":["School of Computer Science and Technology, Donghua University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Donghua University, Shanghai, China","institution_ids":["https://openalex.org/I181326427"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5008010211","display_name":"Wei Liu","orcid":"https://orcid.org/0000-0002-2476-6321"},"institutions":[{"id":"https://openalex.org/I188935350","display_name":"Anhui University of Finance and Economics","ror":"https://ror.org/0152zzg30","country_code":"CN","type":"education","lineage":["https://openalex.org/I188935350"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Liu","raw_affiliation_strings":["School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu, China"],"raw_orcid":"https://orcid.org/0000-0002-2476-6321","affiliations":[{"raw_affiliation_string":"School of Management Science and Engineering, Anhui University of Finance and Economics, Bengbu, China","institution_ids":["https://openalex.org/I188935350"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5071050711","display_name":"Hongzi Zhu","orcid":"https://orcid.org/0000-0001-8657-5064"},"institutions":[{"id":"https://openalex.org/I183067930","display_name":"Shanghai Jiao Tong University","ror":"https://ror.org/0220qvk04","country_code":"CN","type":"education","lineage":["https://openalex.org/I183067930"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongzi Zhu","raw_affiliation_strings":["Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-8657-5064","affiliations":[{"raw_affiliation_string":"Department of Computer Science and Engineering, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.2228,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.89084058,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":"11","issue":"17","first_page":"28931","last_page":"28944"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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":0.9998000264167786,"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":0.973800003528595,"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/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.9502999782562256,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8351783752441406},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6656007766723633},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6614044904708862},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6287275552749634},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5363866686820984},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.4971182644367218},{"id":"https://openalex.org/keywords/object-detection","display_name":"Object detection","score":0.47130903601646423},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.44865649938583374},{"id":"https://openalex.org/keywords/transparency","display_name":"Transparency (behavior)","score":0.4476567208766937},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29576659202575684},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.19958436489105225},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.10317045450210571}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8351783752441406},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6656007766723633},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6614044904708862},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6287275552749634},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5363866686820984},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.4971182644367218},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.47130903601646423},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.44865649938583374},{"id":"https://openalex.org/C2780233690","wikidata":"https://www.wikidata.org/wiki/Q535347","display_name":"Transparency (behavior)","level":2,"score":0.4476567208766937},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29576659202575684},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.19958436489105225},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.10317045450210571},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/jiot.2024.3405006","is_oa":false,"landing_page_url":"https://doi.org/10.1109/jiot.2024.3405006","pdf_url":null,"source":{"id":"https://openalex.org/S2480266640","display_name":"IEEE Internet of Things Journal","issn_l":"2327-4662","issn":["2327-4662","2372-2541"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Internet of Things Journal","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"No poverty","id":"https://metadata.un.org/sdg/1","score":0.5099999904632568}],"awards":[{"id":"https://openalex.org/G136628811","display_name":null,"funder_award_id":"62202001","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G785799366","display_name":null,"funder_award_id":"2232023Y-01","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W2090270859","https://openalex.org/W2097117768","https://openalex.org/W2099184365","https://openalex.org/W2193145675","https://openalex.org/W2243397390","https://openalex.org/W2535873859","https://openalex.org/W2788820894","https://openalex.org/W2798302089","https://openalex.org/W2905311601","https://openalex.org/W2962858109","https://openalex.org/W2963037989","https://openalex.org/W2963491874","https://openalex.org/W2963542245","https://openalex.org/W2963857521","https://openalex.org/W2973021304","https://openalex.org/W2984260944","https://openalex.org/W3018757597","https://openalex.org/W3034823537","https://openalex.org/W3106250896","https://openalex.org/W3109104051","https://openalex.org/W3174820339","https://openalex.org/W3210339471","https://openalex.org/W3210780202","https://openalex.org/W4288296135","https://openalex.org/W4293584584","https://openalex.org/W4293846201","https://openalex.org/W4296594802","https://openalex.org/W4313138527","https://openalex.org/W4362468242","https://openalex.org/W4375802376","https://openalex.org/W4386075987","https://openalex.org/W4390873445","https://openalex.org/W6620707391","https://openalex.org/W6640425456","https://openalex.org/W6734629475","https://openalex.org/W6741036071","https://openalex.org/W6748982675","https://openalex.org/W6751839145","https://openalex.org/W6764668024","https://openalex.org/W6767152389","https://openalex.org/W6780574220","https://openalex.org/W6843291500"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W3176659669","https://openalex.org/W4287115361"],"abstract_inverted_index":{"Studies":[0],"have":[1,26],"proven":[2],"that":[3,191],"applying":[4],"patch":[5,126,143,150],"stickers":[6,44],"generated":[7],"through":[8,162],"adversarial":[9,23,118],"training":[10],"to":[11,50,99,116,135,156],"target":[12,19,32],"objects":[13],"can":[14,169,236],"effectively":[15],"deceive":[16],"classifiers":[17],"or":[18],"detectors.":[20],"These":[21],"\u2019Print-and-paste\u2019":[22],"attacks":[24],"however":[25],"three":[27,95],"shortcomings.":[28],"First,":[29],"touching":[30],"the":[31,54,79,101,123,137,186,208,233],"object":[33],"physically":[34],"is":[35,216],"required,":[36],"which":[37,77,153],"may":[38],"be":[39,46],"infeasible":[40],"in":[41,59,113,128,141,172,181,202,211],"practice.":[42],"Second,":[43],"might":[45],"taken":[47],"as":[48,199],"evidence":[49],"identify":[51],"attackers.":[52],"Third,":[53],"attack":[55,209,242],"effect":[56,215],"decreases":[57],"significantly":[58,206],"poor":[60],"light,":[61],"especially":[62],"at":[63],"long":[64],"distances.":[65],"To":[66],"overcome":[67],"above":[68],"limitations,":[69],"we":[70,131],"introduce":[71],"OptiCloak,":[72],"a":[73,84,142,148,240],"car":[74],"vanishing":[75],"attack,":[76],"fools":[78],"Object":[80],"Detector":[81],"(OD)":[82],"of":[83,125,139,165,244],"vision-based":[85],"autonomous":[86],"driving":[87,183],"systems":[88],"with":[89,239],"transient":[90],"projection":[91],"pattern.":[92],"We":[93,146,178],"establish":[94],"digital-to-physical":[96],"mapping":[97],"models":[98],"compensate":[100],"distortions":[102],"caused":[103,121],"by":[104,122],"perspective":[105],"deformation,":[106],"double":[107],"image":[108],"and":[109,159,175,185,226],"partial":[110],"light":[111],"reflection":[112],"real-world.":[114],"Furthermore,":[115],"avoid":[117],"functionality":[119],"degeneration":[120],"loss":[124],"details":[127],"long-range":[129],"attacks,":[130],"utilize":[132],"MeanShift":[133],"Filtering":[134],"constrain":[136],"\u2019resolution\u2019":[138],"pixels":[140],"during":[144],"training.":[145],"propose":[147],"gradient-free":[149],"updating":[151],"approach,":[152],"utilizes":[154],"ZO-AdaMM":[155],"approximate":[157],"gradients":[158],"model":[160],"parameters":[161],"confidence":[163],"scores":[164],"OD,":[166],"making":[167],"OptiCloak":[168,180,192],"work":[170],"well":[171],"both":[173],"white-box":[174],"black-box":[176,231],"scenarios.":[177],"deploy":[179],"real-world":[182],"scenarios,":[184],"extensive":[187],"experimental":[188],"results":[189],"demonstrate":[190],"achieves":[193],"similar":[194],"Attack":[195],"Success":[196],"Rates":[197],"(ASRs)":[198],"printed":[200],"patches":[201],"bright":[203],"environments,":[204],"while":[205],"improving":[207],"performance":[210],"gloomy":[212],"environments.":[213],"This":[214],"validated":[217],"across":[218],"all":[219],"settings,":[220,232],"including":[221],"different":[222],"angles,":[223],"imaging":[224],"devices,":[225],"film":[227],"transparency":[228],"rates.":[229],"In":[230],"average":[234],"ASR":[235],"reach":[237],"71%,":[238],"maximum":[241],"distance":[243],"approximately":[245],"10m.":[246]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
