{"id":"https://openalex.org/W4308238099","doi":"https://doi.org/10.1109/icip46576.2022.9897879","title":"Sign-OPT+: An Improved Sign Optimization Adversarial Attack","display_name":"Sign-OPT+: An Improved Sign Optimization Adversarial Attack","publication_year":2022,"publication_date":"2022-10-16","ids":{"openalex":"https://openalex.org/W4308238099","doi":"https://doi.org/10.1109/icip46576.2022.9897879"},"language":"en","primary_location":{"id":"doi:10.1109/icip46576.2022.9897879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897879","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5107143431","display_name":"Yu Ran","orcid":"https://orcid.org/0009-0009-1146-5309"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Ran","raw_affiliation_strings":["Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China","School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064709384","display_name":"Yuan\u2010Gen Wang","orcid":"https://orcid.org/0000-0003-3010-4196"},"institutions":[{"id":"https://openalex.org/I37987034","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06","country_code":"CN","type":"education","lineage":["https://openalex.org/I37987034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan-Gen Wang","raw_affiliation_strings":["Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China","School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Guangzhou University,School of Computer Science and Cyber Engineering,Guangzhou,China","institution_ids":["https://openalex.org/I37987034"]},{"raw_affiliation_string":"School of Computer Science and Cyber Engineering, Guangzhou University, Guangzhou, China","institution_ids":["https://openalex.org/I37987034"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I37987034"],"apc_list":null,"apc_paid":null,"fwci":0.1687,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.43004,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"461","last_page":"465"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9876000285148621,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9847000241279602,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.6996428966522217},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.6693187952041626},{"id":"https://openalex.org/keywords/binary-search-algorithm","display_name":"Binary search algorithm","score":0.5104019045829773},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.48343026638031006},{"id":"https://openalex.org/keywords/binary-code","display_name":"Binary code","score":0.4162876605987549},{"id":"https://openalex.org/keywords/search-algorithm","display_name":"Search algorithm","score":0.3785409927368164},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.2453487515449524},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20798265933990479}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6996428966522217},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.6693187952041626},{"id":"https://openalex.org/C121610932","wikidata":"https://www.wikidata.org/wiki/Q243754","display_name":"Binary search algorithm","level":3,"score":0.5104019045829773},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.48343026638031006},{"id":"https://openalex.org/C63435697","wikidata":"https://www.wikidata.org/wiki/Q864135","display_name":"Binary code","level":3,"score":0.4162876605987549},{"id":"https://openalex.org/C125583679","wikidata":"https://www.wikidata.org/wiki/Q755673","display_name":"Search algorithm","level":2,"score":0.3785409927368164},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2453487515449524},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20798265933990479},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip46576.2022.9897879","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip46576.2022.9897879","pdf_url":null,"source":{"id":"https://openalex.org/S4363607719","display_name":"2022 IEEE International Conference on Image Processing (ICIP)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[],"funders":[{"id":"https://openalex.org/F4320328715","display_name":"Guangzhou University","ror":"https://ror.org/05ar8rn06"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":11,"referenced_works":["https://openalex.org/W2746600820","https://openalex.org/W2963857521","https://openalex.org/W2984699060","https://openalex.org/W3106412272","https://openalex.org/W6731927902","https://openalex.org/W6746608116","https://openalex.org/W6752985256","https://openalex.org/W6753044988","https://openalex.org/W6759424558","https://openalex.org/W6763511984","https://openalex.org/W6767666165"],"related_works":["https://openalex.org/W1495725930","https://openalex.org/W2582091787","https://openalex.org/W2998661990","https://openalex.org/W2811435312","https://openalex.org/W2134880816","https://openalex.org/W4213195198","https://openalex.org/W843542728","https://openalex.org/W2382626982","https://openalex.org/W2354443135","https://openalex.org/W2376716665"],"abstract_inverted_index":{"We":[0,81],"study":[1],"the":[2,19,28,35,60,65,70,77,108,119,123,131,142,148,172],"hard-label":[3],"adversarial":[4,79],"attacks":[5],"where":[6],"model":[7,31,47],"information,":[8],"training":[9],"data,":[10],"and":[11,156,165],"output":[12],"score":[13],"are":[14],"all":[15],"unknown":[16],"except":[17],"for":[18,42],"final":[20],"decision":[21,132],"to":[22,27,44,63,75,101,140],"an":[23,96],"input":[24],"query.":[25],"Due":[26],"security":[29],"issue,":[30],"providers":[32],"usually":[33],"constrain":[34],"number":[36],"of":[37,91,107],"queries.":[38,50,92,150],"It":[39],"is":[40,73,179],"challenging":[41],"adversaries":[43],"attack":[45],"a":[46,88,167],"with":[48],"limited":[49],"Sign-OPT":[51],"makes":[52],"great":[53],"advances":[54],"in":[55],"query":[56,103,139],"complexity,":[57],"which":[58],"adopts":[59],"backtracking":[61],"line-search":[62,113],"find":[64,82],"optimal":[66,143],"search":[67,72,86,125,144],"direction,":[68,145],"meanwhile":[69],"binary":[71,85,109],"employed":[74],"obtain":[76],"minimum-distortion":[78],"example.":[80],"that":[83,159],"this":[84],"costs":[87],"huge":[89],"amount":[90],"This":[93,134],"paper":[94],"proposes":[95],"improved":[97],"Sign-OPT,":[98],"termed":[99],"Sign-OPT+,":[100],"enhance":[102],"efficiency":[104],"further.":[105],"Instead":[106],"search,":[110],"at":[111,181],"each":[112],"stage":[114],"we":[115],"directly":[116],"judge":[117],"whether":[118],"candidate":[120],"example":[121],"along":[122],"new":[124],"direction":[126],"locates":[127],"inside":[128],"or":[129],"outside":[130],"boundary.":[133],"judgment":[135],"requires":[136,162],"only":[137],"one":[138],"achieve":[141],"significantly":[146],"reducing":[147],"overall":[149],"Experiments":[151],"tested":[152],"on":[153],"MNIST,":[154],"CIFAR-10,":[155],"ImageNet":[157],"show":[158],"our":[160],"Sign-OPT+":[161],"fewer":[163],"queries":[164],"obtains":[166],"higher":[168],"success":[169],"rate":[170],"than":[171],"state-of-the-art":[173],"including":[174],"Sign-OPT.":[175],"The":[176],"source":[177],"code":[178],"available":[180],"https://github.com/GZHU-DVL/Sign-OPT-plus.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}