{"id":"https://openalex.org/W4415708379","doi":"https://doi.org/10.1109/icme59968.2025.11209924","title":"PatchSegDet: Attack-Agnostic Detection of Physical Adversarial Patches in Face Recognition Systems","display_name":"PatchSegDet: Attack-Agnostic Detection of Physical Adversarial Patches in Face Recognition Systems","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708379","doi":"https://doi.org/10.1109/icme59968.2025.11209924"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209924","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 Multimedia and Expo (ICME)","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/A5018116732","display_name":"Zhiqiang Shen","orcid":"https://orcid.org/0000-0001-8783-1795"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Shen","raw_affiliation_strings":["Zhejiang University,School of Software Technology,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,School of Software Technology,Ningbo,China","institution_ids":["https://openalex.org/I109935558","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108941194","display_name":"Qinfeng Li","orcid":"https://orcid.org/0009-0001-9037-7535"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qinfeng Li","raw_affiliation_strings":["Zhejiang University,School of Software Technology,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,School of Software Technology,Ningbo,China","institution_ids":["https://openalex.org/I109935558","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101722406","display_name":"Xuhong Zhang","orcid":"https://orcid.org/0000-0002-8571-9780"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuhong Zhang","raw_affiliation_strings":["Zhejiang University,School of Software Technology,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,School of Software Technology,Ningbo,China","institution_ids":["https://openalex.org/I109935558","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040589965","display_name":"Yuxiang Cai","orcid":"https://orcid.org/0000-0003-2784-6607"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]},{"id":"https://openalex.org/I76130692","display_name":"Zhejiang University","ror":"https://ror.org/00a2xv884","country_code":"CN","type":"education","lineage":["https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuxiang Cai","raw_affiliation_strings":["Zhejiang University,School of Software Technology,Ningbo,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang University,School of Software Technology,Ningbo,China","institution_ids":["https://openalex.org/I109935558","https://openalex.org/I76130692"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046252184","display_name":"Xiaochu Chen","orcid":"https://orcid.org/0000-0003-2846-2541"},"institutions":[{"id":"https://openalex.org/I77566578","display_name":"United Microelectronics (United States)","ror":"https://ror.org/00vrhw316","country_code":"US","type":"company","lineage":["https://openalex.org/I4210161555","https://openalex.org/I77566578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xiaochu Chen","raw_affiliation_strings":["Hangzhou ccRFID MicroElectronics Co., Ltd.,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou ccRFID MicroElectronics Co., Ltd.,Hangzhou,China","institution_ids":["https://openalex.org/I77566578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060120489","display_name":"Ping An","orcid":"https://orcid.org/0000-0002-4995-728X"},"institutions":[{"id":"https://openalex.org/I77566578","display_name":"United Microelectronics (United States)","ror":"https://ror.org/00vrhw316","country_code":"US","type":"company","lineage":["https://openalex.org/I4210161555","https://openalex.org/I77566578"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ping An","raw_affiliation_strings":["Hangzhou ccRFID MicroElectronics Co., Ltd.,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hangzhou ccRFID MicroElectronics Co., Ltd.,Hangzhou,China","institution_ids":["https://openalex.org/I77566578"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026598555","display_name":"Haiqin Weng","orcid":"https://orcid.org/0000-0002-3005-761X"},"institutions":[{"id":"https://openalex.org/I4210132615","display_name":"Zhejiang Energy Group (China)","ror":"https://ror.org/03a2tkf74","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132615"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haiqin Weng","raw_affiliation_strings":["Ant Group Co., Ltd.,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group Co., Ltd.,Hangzhou,China","institution_ids":["https://openalex.org/I4210132615"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101605778","display_name":"Yan Liu","orcid":"https://orcid.org/0000-0002-2471-2112"},"institutions":[{"id":"https://openalex.org/I4210132615","display_name":"Zhejiang Energy Group (China)","ror":"https://ror.org/03a2tkf74","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210132615"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Liu","raw_affiliation_strings":["Ant Group Co., Ltd.,Hangzhou,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Ant Group Co., Ltd.,Hangzhou,China","institution_ids":["https://openalex.org/I4210132615"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"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":"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":0.963100016117096,"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":0.963100016117096,"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/T11448","display_name":"Face recognition and analysis","score":0.00860000029206276,"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/T10828","display_name":"Biometric Identification and Security","score":0.004600000102072954,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.8810999989509583},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6190000176429749},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5792999863624573},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5217000246047974},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.43810001015663147},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.423799991607666},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.40630000829696655}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8810999989509583},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7171000242233276},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6360999941825867},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6190000176429749},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5792999863624573},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5217000246047974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5133000016212463},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.43810001015663147},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.423799991607666},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.40630000829696655},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.383899986743927},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3230000138282776},{"id":"https://openalex.org/C42781572","wikidata":"https://www.wikidata.org/wiki/Q1250322","display_name":"Digital image","level":4,"score":0.3000999987125397},{"id":"https://openalex.org/C100776233","wikidata":"https://www.wikidata.org/wiki/Q2532492","display_name":"Bridge (graph theory)","level":2,"score":0.29679998755455017},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.27459999918937683},{"id":"https://openalex.org/C124504099","wikidata":"https://www.wikidata.org/wiki/Q56933","display_name":"Image segmentation","level":3,"score":0.2736999988555908},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.27129998803138733},{"id":"https://openalex.org/C2776157020","wikidata":"https://www.wikidata.org/wiki/Q851598","display_name":"Physical security","level":2,"score":0.2606000006198883},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.2558000087738037},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209924","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209924","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 Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320318398","display_name":"Ant Group","ror":null},{"id":"https://openalex.org/F4320338464","display_name":"Natural Science Foundation of Zhejiang Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2331128040","https://openalex.org/W2535873859","https://openalex.org/W2902867332","https://openalex.org/W2963302614","https://openalex.org/W2969664989","https://openalex.org/W2969985801","https://openalex.org/W3097269597","https://openalex.org/W3114686421","https://openalex.org/W3154755065","https://openalex.org/W3179647175","https://openalex.org/W3210016964","https://openalex.org/W4321230197","https://openalex.org/W4383221314","https://openalex.org/W4386071495","https://openalex.org/W4386076048","https://openalex.org/W4390874575"],"related_works":[],"abstract_inverted_index":{"Adversarial":[0],"patch":[1,17,67,150],"attacks":[2,90,151],"are":[3],"an":[4,63],"emerging":[5],"security":[6],"threat":[7],"for":[8,23,38,143],"real-world":[9,153],"Face":[10],"Recognition":[11],"Systems":[12],"(FRS).":[13],"Although":[14],"many":[15],"adversarial":[16,66,149],"detection":[18,49,68],"methods":[19,50,132],"have":[20,33],"been":[21,35],"proposed":[22],"image":[24,102],"classification,":[25],"to":[26,54,70,80,145],"the":[27,41,75,123],"best":[28],"of":[29,43,107,127],"our":[30],"knowledge,":[31],"few":[32],"yet":[34],"specifically":[36],"developed":[37],"FRS.":[39,55,72,92,154],"Furthermore,":[40],"characteristics":[42],"FRS":[44],"attack":[45,131],"vectors":[46],"impede":[47],"current":[48],"from":[51],"being":[52],"adapted":[53],"To":[56],"bridge":[57],"this":[58],"gap,":[59],"we":[60],"propose":[61],"PatchSegDet,":[62],"attack-agnostic":[64],"two-stage":[65],"method":[69],"safeguard":[71],"It":[73],"employs":[74],"Segment":[76],"Anything":[77],"Model":[78],"(SAM)":[79],"segment":[81],"out":[82],"suspicious":[83],"features":[84],"and":[85,97,113,125,136],"determines":[86],"whether":[87],"they":[88],"constitute":[89],"against":[91,129],"Leveraging":[93],"SAM\u2019s":[94],"remarkable":[95],"generalization":[96],"zero-shot":[98],"capabilities":[99],"in":[100,116,133,152],"facial":[101,118],"segmentation,":[103],"PatchSegDet":[104,128],"is":[105],"capable":[106],"detecting":[108],"patches":[109],"with":[110],"varying":[111],"textures":[112],"patterns":[114],"placed":[115],"any":[117],"region.":[119],"Extensive":[120],"experiments":[121],"demonstrate":[122],"effectiveness":[124],"robustness":[126],"various":[130],"both":[134],"digital":[135],"physical":[137,148],"domains.":[138],"Our":[139],"findings":[140],"provide":[141],"insights":[142],"practitioners":[144],"better":[146],"defend":[147]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-30T00:00:00"}
