{"id":"https://openalex.org/W4205817951","doi":"https://doi.org/10.1145/3469877.3493596","title":"Towards Transferable 3D Adversarial Attack","display_name":"Towards Transferable 3D Adversarial Attack","publication_year":2021,"publication_date":"2021-12-01","ids":{"openalex":"https://openalex.org/W4205817951","doi":"https://doi.org/10.1145/3469877.3493596"},"language":"en","primary_location":{"id":"doi:10.1145/3469877.3493596","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469877.3493596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia","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/A5103101247","display_name":"Qiming Lu","orcid":"https://orcid.org/0000-0001-5561-9925"},"institutions":[{"id":"https://openalex.org/I4210147455","display_name":"Institute of Information Science","ror":"https://ror.org/055q8rh54","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210147455"]},{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN","SI"],"is_corresponding":true,"raw_author_name":"Qiming Lu","raw_affiliation_strings":["Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, CN"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, CN","institution_ids":["https://openalex.org/I21193070","https://openalex.org/I4210147455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5006854141","display_name":"Shikui Wei","orcid":"https://orcid.org/0000-0003-3803-9763"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210147455","display_name":"Institute of Information Science","ror":"https://ror.org/055q8rh54","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210147455"]}],"countries":["CN","SI"],"is_corresponding":false,"raw_author_name":"Shikui Wei","raw_affiliation_strings":["Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, CN"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, CN","institution_ids":["https://openalex.org/I21193070","https://openalex.org/I4210147455"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035235352","display_name":"Haoyu Chu","orcid":"https://orcid.org/0000-0003-3953-7174"},"institutions":[{"id":"https://openalex.org/I4210147455","display_name":"Institute of Information Science","ror":"https://ror.org/055q8rh54","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210147455"]},{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN","SI"],"is_corresponding":false,"raw_author_name":"Haoyu Chu","raw_affiliation_strings":["Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, CN"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, CN","institution_ids":["https://openalex.org/I21193070","https://openalex.org/I4210147455"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100362745","display_name":"Yao Zhao","orcid":"https://orcid.org/0000-0002-8581-9554"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]},{"id":"https://openalex.org/I4210147455","display_name":"Institute of Information Science","ror":"https://ror.org/055q8rh54","country_code":"SI","type":"education","lineage":["https://openalex.org/I4210147455"]}],"countries":["CN","SI"],"is_corresponding":false,"raw_author_name":"Yao Zhao","raw_affiliation_strings":["Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, CN"],"affiliations":[{"raw_affiliation_string":"Institute of Information Science, Beijing Key Laboratory of Advanced Information Science and Network Technology, Beijing Jiaotong University, CN","institution_ids":["https://openalex.org/I21193070","https://openalex.org/I4210147455"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103101247"],"corresponding_institution_ids":["https://openalex.org/I21193070","https://openalex.org/I4210147455"],"apc_list":null,"apc_paid":null,"fwci":0.136,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57758084,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"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":0.9995999932289124,"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":0.9995999932289124,"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/T11699","display_name":"High-Velocity Impact and Material Behavior","score":0.9373999834060669,"subfield":{"id":"https://openalex.org/subfields/2505","display_name":"Materials Chemistry"},"field":{"id":"https://openalex.org/fields/25","display_name":"Materials Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9337999820709229,"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/adversarial-system","display_name":"Adversarial system","score":0.9183131456375122},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.788864016532898},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7141997814178467},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.5947809219360352},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5082835555076599},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5012457370758057},{"id":"https://openalex.org/keywords/upsampling","display_name":"Upsampling","score":0.41370174288749695},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3374873101711273},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.33661210536956787},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.28906840085983276},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.19577297568321228}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9183131456375122},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.788864016532898},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7141997814178467},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.5947809219360352},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5082835555076599},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5012457370758057},{"id":"https://openalex.org/C110384440","wikidata":"https://www.wikidata.org/wiki/Q1143270","display_name":"Upsampling","level":3,"score":0.41370174288749695},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3374873101711273},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.33661210536956787},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.28906840085983276},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.19577297568321228},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3469877.3493596","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3469877.3493596","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ACM Multimedia Asia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G3666002017","display_name":null,"funder_award_id":"61972022, U1936212","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":10,"referenced_works":["https://openalex.org/W9657784","https://openalex.org/W1903029394","https://openalex.org/W1988720110","https://openalex.org/W2243397390","https://openalex.org/W2746600820","https://openalex.org/W2747329762","https://openalex.org/W2964350391","https://openalex.org/W2969542116","https://openalex.org/W3103836116","https://openalex.org/W3106412272"],"related_works":["https://openalex.org/W4288055406","https://openalex.org/W4200630034","https://openalex.org/W3137894200","https://openalex.org/W3092178728","https://openalex.org/W4226402597","https://openalex.org/W3132910851","https://openalex.org/W4377864639","https://openalex.org/W4392340763","https://openalex.org/W4283325551","https://openalex.org/W4403006689"],"abstract_inverted_index":{"Currently,":[0],"most":[1],"of":[2,95,105,135,145,152,173,186,204],"the":[3,17,34,91,102,128,133,156,160,171,184,193,199,205,212],"adversarial":[4,18,58,65,97,125,137,147,175,214],"attacks":[5,19,66],"focused":[6],"on":[7,10,51,89],"perturbation":[8,50,157],"adding":[9],"2D":[11],"images.":[12],"In":[13,83,163],"this":[14,84,109],"way,":[15],"however,":[16],"cannot":[20],"easily":[21],"be":[22,221],"involved":[23,168],"in":[24,142,192],"a":[25],"real-world":[26,52],"AI":[27,35],"system,":[28],"since":[29],"it":[30,44],"is":[31,45,130,167],"impossible":[32],"for":[33,63],"system":[36],"to":[37,41,48,69,122,169],"open":[38],"an":[39,113],"interface":[40],"attackers.":[42],"Therefore,":[43],"more":[46],"practical":[47],"add":[49],"3D":[53,57,64,96,106,124,136,146,174,213],"objects\u2019":[54],"surface,":[55],"i.e.,":[56],"attacks.":[59],"The":[60],"key":[61],"challenges":[62],"are":[67],"how":[68],"effectively":[70],"deal":[71],"with":[72],"viewpoint":[73],"changing":[74],"and":[75,93,149,158,182,201],"keep":[76],"strong":[77],"transferability":[78,94,172,203],"across":[79],"different":[80,224],"state-of-the-art":[81],"networks.":[82],"paper,":[85],"we":[86,111,209],"mainly":[87],"focus":[88],"improving":[90],"robustness":[92,144],"examples":[98,138,148,176,215],"generated":[99,216],"by":[100,154,177,190,217],"perturbing":[101],"surface":[103],"textures":[104],"objects.":[107],"Towards":[108],"end,":[110],"propose":[112],"effective":[114],"method,":[115],"named":[116],"Momentum":[117],"Gradient-Filter":[118],"Sign":[119],"Method":[120],"(M-GFSM),":[121],"generate":[123],"examples.":[126],"Specially,":[127],"momentum":[129],"introduced":[131],"into":[132],"procedure":[134],"generation,":[139],"which":[140],"results":[141,197],"multiview":[143],"high":[150],"efficiency":[151],"attacking":[153],"updating":[155],"stabilizing":[159],"update":[161],"directions.":[162],"addition,":[164],"filter":[165],"operation":[166],"improve":[170],"filtering":[178],"gradient":[179],"images":[180],"selectively":[181],"completing":[183],"gradients":[185],"neglected":[187],"pixels":[188],"caused":[189],"downsampling":[191],"rendering":[194],"stage.":[195],"Experimental":[196],"show":[198,210],"effectiveness":[200],"good":[202],"proposed":[206],"method.":[207],"Besides,":[208],"that":[211],"our":[218],"method":[219],"still":[220],"robust":[222],"under":[223],"illuminations.":[225]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}