{"id":"https://openalex.org/W4414170371","doi":"https://doi.org/10.1109/avss65446.2025.11149954","title":"Infrared Thermal-Guided Adversarial Patch Defense for Robust Visible Person Detectors","display_name":"Infrared Thermal-Guided Adversarial Patch Defense for Robust Visible Person Detectors","publication_year":2025,"publication_date":"2025-08-11","ids":{"openalex":"https://openalex.org/W4414170371","doi":"https://doi.org/10.1109/avss65446.2025.11149954"},"language":"en","primary_location":{"id":"doi:10.1109/avss65446.2025.11149954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss65446.2025.11149954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS)","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/A5101533404","display_name":"Sohee Park","orcid":"https://orcid.org/0000-0001-7829-4131"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Sohee Park","raw_affiliation_strings":["Soongsil University,Sangdo-ro,369"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soongsil University,Sangdo-ro,369","institution_ids":["https://openalex.org/I141371507"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102612795","display_name":"Hayeon Jeong","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Hayeon Jeong","raw_affiliation_strings":["Yonsei University,Songdogwahak-ro,85"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,Songdogwahak-ro,85","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053797473","display_name":"Daeseon Choi","orcid":"https://orcid.org/0000-0002-1438-0265"},"institutions":[{"id":"https://openalex.org/I141371507","display_name":"Soongsil University","ror":"https://ror.org/017xnm587","country_code":"KR","type":"education","lineage":["https://openalex.org/I141371507"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Daeseon Choi","raw_affiliation_strings":["Soongsil University,Sangdo-ro,369"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Soongsil University,Sangdo-ro,369","institution_ids":["https://openalex.org/I141371507"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.11354765,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9976000189781189,"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":0.9926999807357788,"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":0.891700029373169},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7674999833106995},{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.7376000285148621},{"id":"https://openalex.org/keywords/rgb-color-model","display_name":"RGB color model","score":0.6547999978065491},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.597599983215332},{"id":"https://openalex.org/keywords/thermal-infrared","display_name":"Thermal infrared","score":0.3643999993801117}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.891700029373169},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7674999833106995},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.7376000285148621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7046999931335449},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6859999895095825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6801000237464905},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.6547999978065491},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.597599983215332},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.374099999666214},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.3643999993801117},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3154999911785126},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.30480000376701355},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C2776151529","wikidata":"https://www.wikidata.org/wiki/Q3045304","display_name":"Object detection","level":3,"score":0.29100000858306885},{"id":"https://openalex.org/C204530211","wikidata":"https://www.wikidata.org/wiki/Q752823","display_name":"Thermal","level":2,"score":0.26570001244544983}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/avss65446.2025.11149954","is_oa":false,"landing_page_url":"https://doi.org/10.1109/avss65446.2025.11149954","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Advanced Visual and Signal-Based Systems (AVSS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1861492603","https://openalex.org/W1915485278","https://openalex.org/W2088049833","https://openalex.org/W2161969291","https://openalex.org/W2535873859","https://openalex.org/W2798302089","https://openalex.org/W2890054895","https://openalex.org/W2953610242","https://openalex.org/W2963726920","https://openalex.org/W3088678766","https://openalex.org/W3096374086","https://openalex.org/W3107956775","https://openalex.org/W3138047508","https://openalex.org/W3212077589","https://openalex.org/W4226232092","https://openalex.org/W4289038676","https://openalex.org/W4300725094","https://openalex.org/W4312259388","https://openalex.org/W4383221314","https://openalex.org/W4386207886","https://openalex.org/W4387587592"],"related_works":[],"abstract_inverted_index":{"Adversarial":[0],"patch":[1],"attacks":[2],"on":[3,110],"visible":[4],"person":[5,85],"detectors":[6],"pose":[7],"significant":[8],"risks":[9],"to":[10,29,48,55],"recognition":[11],"and":[12,38,52,61],"safety.":[13],"To":[14,63],"counter":[15],"this,":[16],"we":[17,68],"propose":[18],"a":[19,70,76,84,90],"defense":[20],"method":[21],"that":[22,99],"integrates":[23],"thermal":[24,33,43],"imaging":[25],"with":[26],"RGB":[27,56],"images":[28,44,57],"exploit":[30],"differences":[31],"in":[32,116],"characteristics":[34],"between":[35],"adversarial":[36,81,105],"patches":[37,82,106],"humans.":[39],"Our":[40],"approach":[41,101],"segments":[42],"using":[45,79],"selective":[46],"search":[47],"generate":[49],"mask":[50],"sets":[51],"apply":[53],"them":[54],"for":[58],"attack":[59,72,78],"detection":[60],"mitigation.":[62],"evaluate":[64],"the":[65],"proposed":[66],"method,":[67],"created":[69],"physical":[71],"dataset":[73,88],"by":[74],"conducting":[75],"hiding":[77],"printed":[80],"against":[83,104],"detector.":[86],"This":[87],"enabled":[89],"quantitative":[91],"assessment":[92],"of":[93],"our":[94,100],"method.":[95],"Experimental":[96],"results":[97],"demonstrate":[98],"effectively":[102],"defends":[103],"while":[107],"maintaining":[108],"performance":[109],"clean":[111],"images,":[112],"validating":[113],"its":[114],"robustness":[115],"practical":[117],"scenarios.":[118]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
