{"id":"https://openalex.org/W4399665794","doi":"https://doi.org/10.1109/tip.2024.3411927","title":"Multi-Label Adversarial Attack With New Measures and Self-Paced Constraint Weighting","display_name":"Multi-Label Adversarial Attack With New Measures and Self-Paced Constraint Weighting","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4399665794","doi":"https://doi.org/10.1109/tip.2024.3411927","pmid":"https://pubmed.ncbi.nlm.nih.gov/38875089"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2024.3411927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3411927","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5048240336","display_name":"Fengguang Su","orcid":"https://orcid.org/0000-0002-3824-8306"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fengguang Su","raw_affiliation_strings":["Center for Applied Mathematics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-3824-8306","affiliations":[{"raw_affiliation_string":"Center for Applied Mathematics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046034610","display_name":"Ou Wu","orcid":"https://orcid.org/0000-0002-6106-6914"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ou Wu","raw_affiliation_strings":["Center for Applied Mathematics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0002-6106-6914","affiliations":[{"raw_affiliation_string":"Center for Applied Mathematics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101454449","display_name":"Weiyao Zhu","orcid":"https://orcid.org/0000-0001-7610-295X"},"institutions":[{"id":"https://openalex.org/I162868743","display_name":"Tianjin University","ror":"https://ror.org/012tb2g32","country_code":"CN","type":"education","lineage":["https://openalex.org/I162868743"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiyao Zhu","raw_affiliation_strings":["Center for Applied Mathematics, Tianjin University, Tianjin, China"],"raw_orcid":"https://orcid.org/0000-0001-7610-295X","affiliations":[{"raw_affiliation_string":"Center for Applied Mathematics, Tianjin University, Tianjin, China","institution_ids":["https://openalex.org/I162868743"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I162868743"],"apc_list":null,"apc_paid":null,"fwci":0.5764,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.67848936,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":"33","issue":null,"first_page":"3809","last_page":"3822"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10211","display_name":"Computational Drug Discovery Methods","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T10211","display_name":"Computational Drug Discovery Methods","score":0.9818999767303467,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9670000076293945,"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/adversarial-system","display_name":"Adversarial system","score":0.7223730683326721},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6297783851623535},{"id":"https://openalex.org/keywords/weighting","display_name":"Weighting","score":0.6002776026725769},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5385817885398865},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5222357511520386},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47055649757385254},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.31357988715171814}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7223730683326721},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6297783851623535},{"id":"https://openalex.org/C183115368","wikidata":"https://www.wikidata.org/wiki/Q856577","display_name":"Weighting","level":2,"score":0.6002776026725769},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5385817885398865},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5222357511520386},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47055649757385254},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.31357988715171814},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2024.3411927","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2024.3411927","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"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 Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:38875089","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/38875089","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1995137594","https://openalex.org/W2007972815","https://openalex.org/W2037227137","https://openalex.org/W2123402141","https://openalex.org/W2166894022","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2543927648","https://openalex.org/W2774644650","https://openalex.org/W2948398419","https://openalex.org/W2963355098","https://openalex.org/W2963857521","https://openalex.org/W3044714385","https://openalex.org/W3090605776","https://openalex.org/W3113317325","https://openalex.org/W3120129399","https://openalex.org/W3135970545","https://openalex.org/W3174502228","https://openalex.org/W3188772578","https://openalex.org/W3196199654","https://openalex.org/W3196302005","https://openalex.org/W3196553452","https://openalex.org/W3200923879","https://openalex.org/W3205749498","https://openalex.org/W3211070668","https://openalex.org/W4213150040","https://openalex.org/W4214673031","https://openalex.org/W4214748882","https://openalex.org/W4254751698","https://openalex.org/W4288083516","https://openalex.org/W4291653574","https://openalex.org/W4293846201","https://openalex.org/W4312938052","https://openalex.org/W4319300645","https://openalex.org/W4382467872","https://openalex.org/W4386113259","https://openalex.org/W4386598467","https://openalex.org/W4387969347","https://openalex.org/W4390817755","https://openalex.org/W4392908931","https://openalex.org/W4393149364","https://openalex.org/W4393160251","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6731927902","https://openalex.org/W6771159086","https://openalex.org/W6785796486","https://openalex.org/W6842892382","https://openalex.org/W6845266061","https://openalex.org/W6874254545"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W2180954594","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"An":[0],"adversarial":[1,14],"attack":[2,21,26,32,149],"is":[3,64,135],"typically":[4],"implemented":[5],"by":[6,48],"solving":[7],"a":[8,30,73,131],"constrained":[9],"optimization":[10,105],"problem.":[11],"In":[12],"top-k":[13],"attacks":[15,93],"implementation":[16],"for":[17,52,58,82,115,128],"multi-label":[18],"learning,":[19],"the":[20,49,55,78,87,96,108,122,165,178],"failure":[22,88],"degree":[23],"(AFD)":[24],"and":[25,40,54,84,117,119],"cost":[27],"(AC)":[28],"of":[29,90,124,167,180],"possible":[31,92],"are":[33,45],"major":[34],"concerns.":[35],"According":[36],"to":[37,137,141,152],"our":[38,157,181],"experimental":[39],"theoretical":[41],"analysis,":[42],"existing":[43,97],"methods":[44],"negatively":[46],"impacted":[47],"coarse":[50],"measures":[51,114],"AFD/AC":[53],"indiscriminate":[56,154],"treatment":[57],"all":[59],"constraints,":[60],"particularly":[61],"when":[62],"there":[63],"no":[65],"ideal":[66],"solution.":[67],"Hence,":[68],"this":[69],"study":[70],"first":[71],"develops":[72],"refined":[74],"measure":[75],"based":[76],"on":[77,173],"Jaccard":[79],"index":[80],"appropriate":[81],"AFD":[83,116],"AC,":[85,118],"distinguishing":[86],"degrees/costs":[89],"two":[91],"better":[94],"than":[95],"indicator":[98],"function-based":[99],"scheme.":[100],"Furthermore,":[101],"we":[102],"formulate":[103],"novel":[104],"problems":[106],"with":[107],"least":[109],"constraint":[110],"violation":[111],"via":[112],"new":[113],"theoretically":[120],"demonstrate":[121],"effectiveness":[123,179],"weighting":[125,133],"slack":[126],"variables":[127],"constraints.":[129,170],"Finally,":[130],"self-paced":[132],"strategy":[134],"proposed":[136],"assign":[138],"different":[139,184],"priorities":[140],"various":[142],"constraints":[143],"during":[144,161],"optimization,":[145,162],"resulting":[146],"in":[147,164],"larger":[148],"gains":[150],"compared":[151],"previous":[153],"schemes.":[155],"Meanwhile,":[156],"method":[158,182],"avoids":[159],"fluctuations":[160],"especially":[163],"presence":[166],"highly":[168],"conflicting":[169],"Extensive":[171],"experiments":[172],"four":[174],"benchmark":[175],"datasets":[176],"validate":[177],"across":[183],"evaluation":[185],"metrics.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}