{"id":"https://openalex.org/W4403753367","doi":"https://doi.org/10.48550/arxiv.2407.11073","title":"SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images","display_name":"SemiAdv: Query-Efficient Black-Box Adversarial Attack with Unlabeled Images","publication_year":2024,"publication_date":"2024-07-13","ids":{"openalex":"https://openalex.org/W4403753367","doi":"https://doi.org/10.48550/arxiv.2407.11073"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2407.11073","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.11073","pdf_url":"https://arxiv.org/pdf/2407.11073","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2407.11073","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064674050","display_name":"Mingyuan Fan","orcid":"https://orcid.org/0000-0001-9550-9237"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fan, Mingyuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355950","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0002-6276-1468"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114734448","display_name":"Cen Chen","orcid":"https://orcid.org/0000-0003-0325-1705"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chen, Cen","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5058120371","display_name":"Ximeng Liu","orcid":"https://orcid.org/0000-0002-4238-3295"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Ximeng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994000196456909,"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":0.9994000196456909,"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":0.9419000148773193,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9412000179290771,"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/adversarial-system","display_name":"Adversarial system","score":0.8302409648895264},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6961231231689453},{"id":"https://openalex.org/keywords/black-box","display_name":"Black box","score":0.639618456363678},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4746589958667755},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.44160598516464233},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.37434813380241394}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8302409648895264},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6961231231689453},{"id":"https://openalex.org/C94966114","wikidata":"https://www.wikidata.org/wiki/Q29256","display_name":"Black box","level":2,"score":0.639618456363678},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4746589958667755},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.44160598516464233},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.37434813380241394}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2407.11073","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.11073","pdf_url":"https://arxiv.org/pdf/2407.11073","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2407.11073","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2407.11073","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2407.11073","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2407.11073","pdf_url":"https://arxiv.org/pdf/2407.11073","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":[],"type":"repository"},"license":"cc-by-nc-sa","license_id":"https://openalex.org/licenses/cc-by-nc-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4403753367.pdf"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2772917594","https://openalex.org/W2036807459","https://openalex.org/W2058170566","https://openalex.org/W2755342338","https://openalex.org/W2166024367","https://openalex.org/W3116076068","https://openalex.org/W2229312674","https://openalex.org/W2951359407","https://openalex.org/W2079911747","https://openalex.org/W1969923398"],"abstract_inverted_index":{"Adversarial":[0],"attack":[1,34,45,97,131,171],"has":[2],"garnered":[3],"considerable":[4],"attention":[5],"due":[6],"to":[7,87,93,114,146,159],"its":[8],"profound":[9],"implications":[10],"for":[11,24,78,128,163],"the":[12,27,32,36,52,62,67,73,116,119,124],"secure":[13],"deployment":[14],"of":[15,75,141],"robots":[16],"in":[17,26,35],"sensitive":[18],"security":[19],"scenarios.":[20],"To":[21],"potentially":[22],"push":[23],"advances":[25],"field,":[28],"this":[29,136],"paper":[30],"studies":[31],"adversarial":[33,44,68,80,108,165],"black-box":[37,107],"setting":[38],"and":[39,123,138],"proposes":[40],"an":[41,95,148],"unlabeled":[42,143],"data-driven":[43],"method,":[46],"called":[47],"SemiAdv.":[48],"Specifically,":[49],"SemiAdv":[50,70,84,134,156],"achieves":[51],"following":[53],"breakthroughs":[54],"compared":[55,174],"with":[56,98,175],"previous":[57],"works.":[58],"First,":[59],"by":[60],"introducing":[61],"semi-supervised":[63],"learning":[64],"technique":[65],"into":[66],"attack,":[69],"substantially":[71],"decreases":[72],"number":[74],"queries":[76],"required":[77],"generating":[79,164],"samples.":[81],"On":[82],"average,":[83],"only":[85],"needs":[86],"query":[88,161],"a":[89,129,169],"few":[90],"hundred":[91],"times":[92],"launch":[94,147],"effective":[96,149],"more":[99],"than":[100],"90%":[101],"success":[102,172],"rate.":[103],"Second,":[104],"many":[105],"existing":[106],"attacks":[109],"require":[110],"massive":[111],"labeled":[112],"data":[113,145],"mitigate":[115],"difference":[117],"between":[118],"local":[120],"substitute":[121],"model":[122,127],"remote":[125],"target":[126],"good":[130],"performance.":[132],"While":[133],"relaxes":[135],"limitation":[137],"is":[139],"capable":[140],"utilizing":[142],"raw":[144],"attack.":[150],"Finally,":[151],"our":[152],"experiments":[153],"show":[154],"that":[155],"saves":[157],"up":[158],"12x":[160],"accesses":[162],"samples":[166],"while":[167],"maintaining":[168],"competitive":[170],"rate":[173],"state-of-the-art":[176],"attacks.":[177]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2025-10-10T00:00:00"}
