{"id":"https://openalex.org/W7133356978","doi":"https://doi.org/10.48550/arxiv.2603.00266","title":"Adversarial Patch Generation for Visual-Infrared Dense Prediction Tasks via Joint Position-Color Optimization","display_name":"Adversarial Patch Generation for Visual-Infrared Dense Prediction Tasks via Joint Position-Color Optimization","publication_year":2026,"publication_date":"2026-02-27","ids":{"openalex":"https://openalex.org/W7133356978","doi":"https://doi.org/10.48550/arxiv.2603.00266"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2603.00266","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00266","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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2603.00266","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5128028780","display_name":"He Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, He","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062963603","display_name":"Wenyue He","orcid":"https://orcid.org/0000-0003-3762-918X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"He, Wenyue","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5127987422","display_name":"Weihang Kong","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kong, Weihang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5128029178","display_name":"Xingchen Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhang, Xingchen","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":false,"cited_by_count":0,"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":0.9041000008583069,"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":0.9041000008583069,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.020099999383091927,"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"}},{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.014000000432133675,"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":0.7008000016212463},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6262999773025513},{"id":"https://openalex.org/keywords/joint","display_name":"Joint (building)","score":0.45489999651908875},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4390000104904175},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.4185999929904938},{"id":"https://openalex.org/keywords/minification","display_name":"Minification","score":0.3314000070095062},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3197000026702881},{"id":"https://openalex.org/keywords/perception","display_name":"Perception","score":0.319599986076355}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7008000016212463},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7001000046730042},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6262999773025513},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4740999937057495},{"id":"https://openalex.org/C18555067","wikidata":"https://www.wikidata.org/wiki/Q8375051","display_name":"Joint (building)","level":2,"score":0.45489999651908875},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4390000104904175},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.4185999929904938},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3197000026702881},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.319599986076355},{"id":"https://openalex.org/C48044578","wikidata":"https://www.wikidata.org/wiki/Q727490","display_name":"Scalability","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3082999885082245},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.30300000309944153},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.2994000017642975},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2921000123023987},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C193254401","wikidata":"https://www.wikidata.org/wiki/Q2160088","display_name":"Robust optimization","level":2,"score":0.2847000062465668},{"id":"https://openalex.org/C78201319","wikidata":"https://www.wikidata.org/wiki/Q685727","display_name":"Grayscale","level":3,"score":0.26840001344680786},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.262800008058548},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.26260000467300415},{"id":"https://openalex.org/C2989514635","wikidata":"https://www.wikidata.org/wiki/Q5164377","display_name":"Constrained optimization problem","level":3,"score":0.2599000036716461},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2590000033378601},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.258899986743927},{"id":"https://openalex.org/C68781425","wikidata":"https://www.wikidata.org/wiki/Q2052203","display_name":"Multi-objective optimization","level":2,"score":0.25440001487731934},{"id":"https://openalex.org/C2987595161","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Optimization algorithm","level":2,"score":0.25279998779296875}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2603.00266","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00266","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":"doi:10.48550/arxiv.2603.00266","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2603.00266","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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Multimodal":[0],"adversarial":[1,28,73],"attacks":[2],"for":[3,34,41,71,177],"dense":[4,56,157],"prediction":[5,57,158],"remain":[6],"largely":[7],"underexplored.":[8],"In":[9],"particular,":[10],"visual-infrared":[11,76,156],"(VI)":[12],"perception":[13,182],"systems":[14],"introduce":[15,113],"unique":[16],"challenges":[17],"due":[18],"to":[19,39,45,54,100,124],"heterogeneous":[20],"spectral":[21,110],"characteristics":[22,127],"and":[23,37,49,84,104],"modality-specific":[24],"intensity":[25],"distributions.":[26],"Existing":[27],"patch":[29,82,99,121],"methods":[30],"are":[31],"primarily":[32],"designed":[33],"single-modal":[35],"inputs":[36],"fail":[38],"account":[40],"crossspectral":[42],"inconsistencies,":[43],"leading":[44],"reduced":[46],"attack":[47,168],"effectiveness":[48],"poor":[50],"stealthiness":[51],"when":[52],"applied":[53],"VI":[55,181],"models.":[58],"To":[59,107],"address":[60],"these":[61],"challenges,":[62],"we":[63,112],"propose":[64],"a":[65,89,97,114,174],"joint":[66],"position-color":[67],"optimization":[68,141],"framework":[69],"(AP-PCO)":[70],"generating":[72],"patches":[74],"in":[75,132,180],"settings.":[77],"The":[78,140],"proposed":[79,163],"method":[80],"optimizes":[81],"placement":[83],"color":[85,116],"composition":[86],"simultaneously":[87],"using":[88],"fitness":[90],"function":[91],"derived":[92],"from":[93],"model":[94,147],"outputs,":[95],"enabling":[96],"single":[98],"perturb":[101],"both":[102],"visible":[103,134],"infrared":[105,125],"modalities.":[106],"further":[108],"bridge":[109],"discrepancies,":[111],"crossmodal":[115],"adaptation":[117],"strategy":[118],"that":[119,161],"constrains":[120],"appearance":[122],"according":[123],"grayscale":[126],"while":[128],"maintaining":[129],"strong":[130,167],"perturbations":[131],"the":[133,162],"domain,":[135],"thereby":[136],"reducing":[137],"cross-spectral":[138],"saliency.":[139],"procedure":[142],"operates":[143],"without":[144],"requiring":[145],"internal":[146],"information,":[148],"supporting":[149],"flexible":[150],"black-box":[151],"attacks.":[152],"Extensive":[153],"experiments":[154],"on":[155],"tasks":[159],"demonstrate":[160],"AP-PCO":[164],"achieves":[165],"consistently":[166],"performance":[169],"across":[170],"multiple":[171],"architectures,":[172],"providing":[173],"practical":[175],"benchmark":[176],"robustness":[178],"evaluation":[179],"systems.":[183]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-03-04T00:00:00"}
