{"id":"https://openalex.org/W7161179434","doi":"https://doi.org/10.48550/arxiv.2605.12937","title":"AuraMask: An Extensible Pipeline for Developing Aesthetic Anti-Facial Recognition Image Filters","display_name":"AuraMask: An Extensible Pipeline for Developing Aesthetic Anti-Facial Recognition Image Filters","publication_year":2026,"publication_date":"2026-05-13","ids":{"openalex":"https://openalex.org/W7161179434","doi":"https://doi.org/10.48550/arxiv.2605.12937"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.12937","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12937","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","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.2605.12937","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5136095579","display_name":"Jacob Lagogiannis","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lagogiannis, Jacob","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136149748","display_name":"William Agnew","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Agnew, William","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5136148366","display_name":"Rosa I. Arriaga","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Arriaga, Rosa I.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5136150889","display_name":"Sauvik Das","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Das, Sauvik","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":0.37229999899864197,"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":0.37229999899864197,"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/T11800","display_name":"User Authentication and Security Systems","score":0.07609999924898148,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.05220000073313713,"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/pipeline","display_name":"Pipeline (software)","score":0.8130000233650208},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5640000104904175},{"id":"https://openalex.org/keywords/image-editing","display_name":"Image editing","score":0.42829999327659607},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4052000045776367},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.37549999356269836},{"id":"https://openalex.org/keywords/blinding","display_name":"Blinding","score":0.34540000557899475},{"id":"https://openalex.org/keywords/image-manipulation","display_name":"Image manipulation","score":0.32600000500679016},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.3151000142097473}],"concepts":[{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.8130000233650208},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7053999900817871},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5680999755859375},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5640000104904175},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5073999762535095},{"id":"https://openalex.org/C2776674983","wikidata":"https://www.wikidata.org/wiki/Q545981","display_name":"Image editing","level":3,"score":0.42829999327659607},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4052000045776367},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.37549999356269836},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3560999929904938},{"id":"https://openalex.org/C2771230","wikidata":"https://www.wikidata.org/wiki/Q4926699","display_name":"Blinding","level":3,"score":0.34540000557899475},{"id":"https://openalex.org/C2987933465","wikidata":"https://www.wikidata.org/wiki/Q141130","display_name":"Image manipulation","level":3,"score":0.32600000500679016},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.3151000142097473},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.3140999972820282},{"id":"https://openalex.org/C106430172","wikidata":"https://www.wikidata.org/wiki/Q6002272","display_name":"Image restoration","level":4,"score":0.3061000108718872},{"id":"https://openalex.org/C32833848","wikidata":"https://www.wikidata.org/wiki/Q4115054","display_name":"Extensibility","level":2,"score":0.29600000381469727},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.2809999883174896},{"id":"https://openalex.org/C106131492","wikidata":"https://www.wikidata.org/wiki/Q3072260","display_name":"Filter (signal processing)","level":2,"score":0.2727999985218048},{"id":"https://openalex.org/C3019635856","wikidata":"https://www.wikidata.org/wiki/Q1619726","display_name":"Background image","level":3,"score":0.26910001039505005},{"id":"https://openalex.org/C61265191","wikidata":"https://www.wikidata.org/wiki/Q767770","display_name":"Scale-invariant feature transform","level":3,"score":0.2621999979019165},{"id":"https://openalex.org/C123657996","wikidata":"https://www.wikidata.org/wiki/Q12271","display_name":"Architecture","level":2,"score":0.25609999895095825}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.12937","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12937","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.12937","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.12937","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Anti-facial":[0],"recognition":[1,102],"(AFR)":[2],"image":[3,83],"filters":[4,62,77,89,115],"alter":[5],"images":[6],"in":[7,23,33,105,136],"ways":[8],"that":[9,63,78,87],"are":[10,40,64],"subtle":[11],"to":[12,16,26,43,59,130],"people":[13],"but":[14],"blinding":[15],"computer":[17],"vision.":[18],"Yet,":[19],"despite":[20],"widespread":[21],"interest":[22],"these":[24,114],"technologies":[25],"subvert":[27],"surveillance,":[28],"users":[29],"rarely":[30],"use":[31],"them":[32],"practice":[34],"--":[35],"because":[36],"the":[37,93,131],"``subtle''":[38],"alterations":[39],"visible":[41],"enough":[42],"conflict":[44],"with":[45],"users'":[46],"self-presentation":[47],"goals.":[48],"To":[49],"address":[50],"this":[51],"challenge,":[52],"we":[53,73,112,125],"propose":[54],"AuraMask:":[55],"a":[56,106],"novel":[57],"approach":[58],"creating":[60],"AFR":[61,128],"both":[65],"adversarially":[66,137],"effective":[67,138],"and":[68,139],"aesthetically":[69,140],"acceptable.":[70],"Using":[71],"AuraMask,":[72],"produce":[74],"40":[75],"``aesthetic''":[76],"emulate":[79],"popular":[80],"``one-click''":[81],"Instagram":[82],"filters.":[84],"We":[85],"show":[86],"AuraMask":[88],"meet":[90],"or":[91],"exceed":[92],"adversarial":[94],"effectiveness":[95],"of":[96],"prior":[97,122],"methods":[98],"against":[99],"open-source":[100],"facial":[101],"models.":[103],"Moreover,":[104],"controlled":[107],"online":[108],"user":[109,119],"study":[110],"($N=630$)":[111],"confirm":[113],"achieve":[116],"significantly":[117],"higher":[118],"acceptance":[120],"than":[121],"methods.":[123],"Lastly,":[124],"provide":[126],"our":[127],"pipeline":[129],"community":[132],"for":[133],"accelerated":[134],"research":[135],"acceptable":[141],"protections.":[142]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-15T00:00:00"}
