{"id":"https://openalex.org/W4321606860","doi":"https://doi.org/10.1109/comsnets56262.2023.10041410","title":"ProFace: A Cancelable Face Template Protection Approach","display_name":"ProFace: A Cancelable Face Template Protection Approach","publication_year":2023,"publication_date":"2023-01-03","ids":{"openalex":"https://openalex.org/W4321606860","doi":"https://doi.org/10.1109/comsnets56262.2023.10041410"},"language":"en","primary_location":{"id":"doi:10.1109/comsnets56262.2023.10041410","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comsnets56262.2023.10041410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on COMmunication Systems &amp; NETworkS (COMSNETS)","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/A5108658308","display_name":"Surabhi Garg","orcid":"https://orcid.org/0000-0002-1492-5237"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Surabhi Garg","raw_affiliation_strings":["Cyber Security and Privacy Research Group, TCS Research,India","Cyber Security and Privacy Research Group, TCS Research, India"],"affiliations":[{"raw_affiliation_string":"Cyber Security and Privacy Research Group, TCS Research,India","institution_ids":[]},{"raw_affiliation_string":"Cyber Security and Privacy Research Group, TCS Research, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062595358","display_name":"Arun Kumar Jindal","orcid":"https://orcid.org/0000-0002-8064-0854"},"institutions":[{"id":"https://openalex.org/I68891433","display_name":"Indian Institute of Technology Delhi","ror":"https://ror.org/049tgcd06","country_code":"IN","type":"education","lineage":["https://openalex.org/I68891433"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Arun Kumar Jindal","raw_affiliation_strings":["Cyber Security and Privacy Research Group, TCS Research,India","School of Information Technology, Indian Institute of Technology, Delhi, India","Cyber Security and Privacy Research Group, TCS Research, India"],"affiliations":[{"raw_affiliation_string":"Cyber Security and Privacy Research Group, TCS Research,India","institution_ids":[]},{"raw_affiliation_string":"School of Information Technology, Indian Institute of Technology, Delhi, India","institution_ids":["https://openalex.org/I68891433"]},{"raw_affiliation_string":"Cyber Security and Privacy Research Group, TCS Research, India","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5051743415","display_name":"Rajan MA","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rajan MA","raw_affiliation_strings":["Cyber Security and Privacy Research Group, TCS Research,India","Cyber Security and Privacy Research Group, TCS Research, India"],"affiliations":[{"raw_affiliation_string":"Cyber Security and Privacy Research Group, TCS Research,India","institution_ids":[]},{"raw_affiliation_string":"Cyber Security and Privacy Research Group, TCS Research, India","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5045885096","display_name":"Srinivasa Rao Chalamala","orcid":"https://orcid.org/0000-0001-6942-4096"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Srinivasa Rao Chalamala","raw_affiliation_strings":["Cyber Security and Privacy Research Group, TCS Research,India","Cyber Security and Privacy Research Group, TCS Research, India"],"affiliations":[{"raw_affiliation_string":"Cyber Security and Privacy Research Group, TCS Research,India","institution_ids":[]},{"raw_affiliation_string":"Cyber Security and Privacy Research Group, TCS Research, India","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5108658308"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2038,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.38190923,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"147","last_page":"152"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9991000294685364,"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"}},"topics":[{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9991000294685364,"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"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9990000128746033,"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/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.958299994468689,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8262671828269958},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7806895971298218},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.693666934967041},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6195029616355896},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5630697011947632},{"id":"https://openalex.org/keywords/template","display_name":"Template","score":0.5497329235076904},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.526596188545227},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48754021525382996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47420409321784973},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.47249117493629456},{"id":"https://openalex.org/keywords/authentication","display_name":"Authentication (law)","score":0.43531912565231323},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4345114529132843},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33199775218963623},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3270893692970276},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.32096052169799805}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8262671828269958},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7806895971298218},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.693666934967041},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6195029616355896},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5630697011947632},{"id":"https://openalex.org/C82714645","wikidata":"https://www.wikidata.org/wiki/Q438331","display_name":"Template","level":2,"score":0.5497329235076904},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.526596188545227},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48754021525382996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47420409321784973},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.47249117493629456},{"id":"https://openalex.org/C148417208","wikidata":"https://www.wikidata.org/wiki/Q4825882","display_name":"Authentication (law)","level":2,"score":0.43531912565231323},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4345114529132843},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33199775218963623},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3270893692970276},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.32096052169799805},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/comsnets56262.2023.10041410","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/comsnets56262.2023.10041410","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 15th International Conference on COMmunication Systems &amp; NETworkS (COMSNETS)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.5099999904632568,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W2019464758","https://openalex.org/W2024922353","https://openalex.org/W2069165391","https://openalex.org/W2072468280","https://openalex.org/W2096733369","https://openalex.org/W2129905915","https://openalex.org/W2186574009","https://openalex.org/W2404498690","https://openalex.org/W2461999971","https://openalex.org/W2468027751","https://openalex.org/W2570008916","https://openalex.org/W2578517905","https://openalex.org/W2777595189","https://openalex.org/W2886065796","https://openalex.org/W2921264692","https://openalex.org/W2922398519","https://openalex.org/W2963744743","https://openalex.org/W2963839617","https://openalex.org/W2969883896","https://openalex.org/W3005339439","https://openalex.org/W3013893037","https://openalex.org/W3033875391","https://openalex.org/W3043238636","https://openalex.org/W3083350787","https://openalex.org/W3093869356","https://openalex.org/W3117179106","https://openalex.org/W3132412944","https://openalex.org/W3201590043","https://openalex.org/W3211622875"],"related_works":["https://openalex.org/W2121300814","https://openalex.org/W2076845124","https://openalex.org/W2183964146","https://openalex.org/W4234406076","https://openalex.org/W2062586268","https://openalex.org/W2379932303","https://openalex.org/W1886613375","https://openalex.org/W4236081792","https://openalex.org/W3104966193","https://openalex.org/W2123843216"],"abstract_inverted_index":{"Biometrics":[0],"are":[1],"increasingly":[2],"being":[3],"used":[4],"for":[5,10],"authentication":[6],"purposes.":[7],"It":[8],"calls":[9],"biometric":[11,22,28,36],"systems":[12],"with":[13],"enhanced":[14],"recognition":[15,43,72,136,180],"performance.":[16,73],"Further,":[17,94],"the":[18,42,46,82,105,111,122,128,144,177,184],"sensitive":[19],"nature":[20],"of":[21,31,45],"data":[23],"renders":[24],"great":[25],"significance":[26],"to":[27,80,103,176],"security":[29,50,69],"because":[30],"its":[32],"potential":[33],"misuse.":[34],"Existing":[35],"template":[37,62,68,147],"protection":[38,63,148],"schemes,":[39],"either":[40],"degrade":[41],"performance":[44,137],"system":[47],"or":[48],"have":[49],"and":[51,70,113,158],"efficiency":[52],"limitations.":[53],"We":[54,74],"propose":[55],"an":[56,95],"end-to-end":[57],"deep":[58,88,124],"network":[59,126],"based":[60,182],"face":[61,83,118,146,154,179],"scheme,":[64],"ProFace,":[65],"which":[66],"provides":[67],"high":[71],"use":[75],"a":[76,87,91,163],"user-specific,":[77],"secret":[78],"key":[79],"permute":[81],"embedding":[84],"obtained":[85,120],"from":[86,121],"network,":[89,106],"performing":[90],"cancelable":[92],"transformation.":[93],"improvised":[96],"centre":[97],"triplet":[98,185],"loss":[99,186],"function":[100],"is":[101],"proposed":[102,132,173],"optimize":[104],"ensuring":[107],"robustness":[108],"towards":[109],"both":[110],"inter-class":[112],"intra-class":[114],"variations.":[115],"The":[116,131],"permuted":[117],"embeddings":[119],"optimized":[123],"neural":[125],"represent":[127],"protected":[129],"templates.":[130],"approach":[133,174],"significantly":[134],"improves":[135],"(EER":[138],"reduces":[139],"by":[140,168],"atleast":[141],"50%)":[142],"over":[143],"existing":[145],"schemes":[149],"on":[150,183],"two":[151],"publicly":[152],"available":[153],"datasets,":[155],"namely":[156],"YouTube":[157],"CFP.":[159],"Additionally,":[160],"we":[161],"observe":[162],"reduction":[164],"in":[165,171],"training":[166],"time":[167],"7":[169],"times":[170],"our":[172],"compared":[175],"state-of-the-art":[178],"scheme":[181],"function.":[187]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}
