{"id":"https://openalex.org/W4391645781","doi":"https://doi.org/10.1145/3645093","title":"Evaluating Compressive Sensing on the Security of Computer Vision Systems","display_name":"Evaluating Compressive Sensing on the Security of Computer Vision Systems","publication_year":2024,"publication_date":"2024-02-08","ids":{"openalex":"https://openalex.org/W4391645781","doi":"https://doi.org/10.1145/3645093"},"language":"en","primary_location":{"id":"doi:10.1145/3645093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3645093","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","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/A5063893376","display_name":"Yushi Cheng","orcid":"https://orcid.org/0000-0002-0888-2322"},"institutions":[{"id":"https://openalex.org/I4210158570","display_name":"Zhejiang University-University of Edinburgh Institute","ror":"https://ror.org/04jth1r26","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210158570","https://openalex.org/I76130692","https://openalex.org/I98677209"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yushi Cheng","raw_affiliation_strings":["Ubiquitous System Security Lab, ZJU-UIUC Institute, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ubiquitous System Security Lab, ZJU-UIUC Institute, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4210158570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100646072","display_name":"Boyang Zhou","orcid":"https://orcid.org/0009-0004-5489-7228"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Boyang Zhou","raw_affiliation_strings":["Ubiquitous System Security Lab, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ubiquitous System Security Lab, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5015275781","display_name":"Yanjiao Chen","orcid":"https://orcid.org/0000-0002-1382-0679"},"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"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanjiao Chen","raw_affiliation_strings":["Mobile Sensing and Interaction Lab, Shanghai Jiao Tong University, Shanghai, China","Ubiquitous System Security Lab, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Mobile Sensing and Interaction Lab, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Ubiquitous System Security Lab, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009913466","display_name":"Yi\u2010Chao Chen","orcid":"https://orcid.org/0000-0003-0782-4953"},"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"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi-Chao Chen","raw_affiliation_strings":["Mobile Sensing and Interaction Lab, Shanghai Jiao Tong University, Shanghai, China","Ubiquitous System Security Lab, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Mobile Sensing and Interaction Lab, Shanghai Jiao Tong University, Shanghai, China","institution_ids":["https://openalex.org/I183067930"]},{"raw_affiliation_string":"Ubiquitous System Security Lab, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017116027","display_name":"Xiaoyu Ji","orcid":"https://orcid.org/0000-0002-1101-0007"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoyu Ji","raw_affiliation_strings":["Ubiquitous System Security Lab, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ubiquitous System Security Lab, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060351020","display_name":"Wenyuan Xu","orcid":"https://orcid.org/0000-0002-5043-9148"},"institutions":[{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenyuan Xu","raw_affiliation_strings":["Ubiquitous System Security Lab, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Ubiquitous System Security Lab, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I76130692"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5063893376"],"corresponding_institution_ids":["https://openalex.org/I4210158570"],"apc_list":null,"apc_paid":null,"fwci":1.0178,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.78379017,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"20","issue":"3","first_page":"1","last_page":"24"},"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/T10500","display_name":"Sparse and Compressive Sensing Techniques","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.988099992275238,"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":0.8657017946243286},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.7728073596954346},{"id":"https://openalex.org/keywords/compressed-sensing","display_name":"Compressed sensing","score":0.66319340467453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6336646676063538},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.44065308570861816},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.39284375309944153},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3880960941314697},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33680659532546997}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8657017946243286},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.7728073596954346},{"id":"https://openalex.org/C124851039","wikidata":"https://www.wikidata.org/wiki/Q2665459","display_name":"Compressed sensing","level":2,"score":0.66319340467453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6336646676063538},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.44065308570861816},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.39284375309944153},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3880960941314697},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33680659532546997}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3645093","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3645093","pdf_url":null,"source":{"id":"https://openalex.org/S170502224","display_name":"ACM Transactions on Sensor Networks","issn_l":"1550-4859","issn":["1550-4859","1550-4867"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319798","host_organization_name":"Association for Computing Machinery","host_organization_lineage":["https://openalex.org/P4310319798"],"host_organization_lineage_names":["Association for Computing Machinery"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Transactions on Sensor Networks","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2461859056","display_name":null,"funder_award_id":"62071428","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G2509534683","display_name":null,"funder_award_id":"62222114","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4914349744","display_name":null,"funder_award_id":"62271280","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7232193428","display_name":null,"funder_award_id":"62271280, 62222114, 62071428","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W948098727","https://openalex.org/W1945616565","https://openalex.org/W2006682548","https://openalex.org/W2015606516","https://openalex.org/W2103559027","https://openalex.org/W2133665775","https://openalex.org/W2219727625","https://openalex.org/W2503523779","https://openalex.org/W2560674852","https://openalex.org/W2562637781","https://openalex.org/W2594014149","https://openalex.org/W2607219512","https://openalex.org/W2640329709","https://openalex.org/W2746600820","https://openalex.org/W2911290743","https://openalex.org/W2942091739","https://openalex.org/W2952541330","https://openalex.org/W2963081547","https://openalex.org/W2963857521","https://openalex.org/W2971236179","https://openalex.org/W2998331447","https://openalex.org/W3001768156","https://openalex.org/W3013277995","https://openalex.org/W3036695755","https://openalex.org/W3098020164","https://openalex.org/W3102722370","https://openalex.org/W3106412272","https://openalex.org/W3138660537","https://openalex.org/W3215473106","https://openalex.org/W4213333870","https://openalex.org/W4242446209","https://openalex.org/W4250955649","https://openalex.org/W4288322578","https://openalex.org/W4293580221","https://openalex.org/W4293846201","https://openalex.org/W4300725094"],"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/W4285226279","https://openalex.org/W4380075502"],"abstract_inverted_index":{"The":[0,157],"rising":[1],"demand":[2],"for":[3,15,53,80],"utilizing":[4],"fine-grained":[5,58],"data":[6],"in":[7,70,98,105,120],"deep-learning":[8],"(DL)":[9],"based":[10],"intelligent":[11],"systems":[12],"presents":[13],"challenges":[14],"the":[16,36,46,54,90,99,106,117,170,182,189],"collection":[17],"and":[18,39,75,112,123,131,154,178],"transmission":[19],"abilities":[20],"of":[21,56,108,134,142,149],"real-world":[22],"devices.":[23],"Deep":[24],"compressive":[25,96,151,162],"sensing,":[26],"which":[27],"employs":[28],"deep":[29,72,95,150,161],"learning":[30,73],"algorithms":[31],"to":[32,137,166,185,191],"compress":[33],"signals":[34],"at":[35,45],"sensing":[37,97,152,163],"stage":[38],"reconstruct":[40],"them":[41],"with":[42],"high":[43],"quality":[44],"receiving":[47],"stage,":[48],"provides":[49],"a":[50,128,132],"state-of-the-art":[51],"solution":[52],"problem":[55],"large-scale":[57],"data.":[59],"However,":[60],"recent":[61],"works":[62],"have":[63],"proven":[64],"that":[65,160],"fatal":[66],"security":[67,91,118],"flaws":[68],"exist":[69],"current":[71],"methods":[74],"such":[76],"instability":[77],"is":[78],"universal":[79],"DL-based":[81],"image":[82,155],"reconstruction":[83],"methods.":[84],"In":[85],"this":[86],"article,":[87],"we":[88,126],"assess":[89],"risks":[92],"introduced":[93],"by":[94],"widely":[100],"used":[101],"computer":[102,171],"vision":[103,172],"system":[104,173,190],"face":[107],"adversarial":[109,175],"example":[110,176],"attacks":[111,177],"poisoning":[113,179],"attacks.":[114],"To":[115],"implement":[116],"inspection":[119],"an":[121],"unbiased":[122],"complete":[124],"manner,":[125],"develop":[127],"comprehensive":[129],"methodology":[130],"set":[133],"evaluation":[135],"metrics":[136],"manage":[138],"all":[139],"potential":[140],"combinations":[141],"attack":[143],"methods,":[144],"datasets":[145],"(application":[146],"scenarios),":[147],"categories":[148],"models,":[153],"classifiers.":[156],"results":[158],"demonstrate":[159],"models":[164],"unknown":[165],"adversaries":[167,186],"can":[168,187],"protect":[169],"from":[174],"attacks,":[180],"whereas":[181],"ones":[183],"exposed":[184],"cause":[188],"become":[192],"more":[193],"vulnerable.":[194]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-04-13T07:58:08.660418","created_date":"2025-10-10T00:00:00"}