{"id":"https://openalex.org/W7133298959","doi":"https://doi.org/10.1109/tps-isa67132.2025.00084","title":"Certified Attribute Privacy in Gan Latent Space","display_name":"Certified Attribute Privacy in Gan Latent Space","publication_year":2025,"publication_date":"2025-11-12","ids":{"openalex":"https://openalex.org/W7133298959","doi":"https://doi.org/10.1109/tps-isa67132.2025.00084"},"language":null,"primary_location":{"id":"doi:10.1109/tps-isa67132.2025.00084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tps-isa67132.2025.00084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 7th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA)","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/A5081192233","display_name":"Jamil Arbas","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jamil Arbas","raw_affiliation_strings":["Toronto Metropolitan University,Department of Computer Science,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toronto Metropolitan University,Department of Computer Science,Toronto,Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002676667","display_name":"Shadan Ghaffaripour","orcid":null},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Shadan Ghaffaripour","raw_affiliation_strings":["Toronto Metropolitan University,Department of Computer Science,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toronto Metropolitan University,Department of Computer Science,Toronto,Canada","institution_ids":["https://openalex.org/I530967"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024362978","display_name":"Ali Miri","orcid":"https://orcid.org/0000-0002-8418-4366"},"institutions":[{"id":"https://openalex.org/I530967","display_name":"Toronto Metropolitan University","ror":"https://ror.org/05g13zd79","country_code":"CA","type":"education","lineage":["https://openalex.org/I530967"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Ali Miri","raw_affiliation_strings":["Toronto Metropolitan University,Department of Computer Science,Toronto,Canada"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Toronto Metropolitan University,Department of Computer Science,Toronto,Canada","institution_ids":["https://openalex.org/I530967"]}]}],"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":0.82363072,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"678","last_page":"687"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.554099977016449,"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/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.554099977016449,"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/T10237","display_name":"Cryptography and Data Security","score":0.3684999942779541,"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/T10927","display_name":"Access Control and Trust","score":0.018200000748038292,"subfield":{"id":"https://openalex.org/subfields/3312","display_name":"Sociology and Political Science"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/subspace-topology","display_name":"Subspace topology","score":0.557200014591217},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5493999719619751},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.517799973487854},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5109000205993652},{"id":"https://openalex.org/keywords/sensitivity","display_name":"Sensitivity (control systems)","score":0.4575999975204468},{"id":"https://openalex.org/keywords/projection","display_name":"Projection (relational algebra)","score":0.41830000281333923},{"id":"https://openalex.org/keywords/orthogonality","display_name":"Orthogonality","score":0.41130000352859497},{"id":"https://openalex.org/keywords/correctness","display_name":"Correctness","score":0.40689998865127563},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4059000015258789}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6245999932289124},{"id":"https://openalex.org/C32834561","wikidata":"https://www.wikidata.org/wiki/Q660730","display_name":"Subspace topology","level":2,"score":0.557200014591217},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5493999719619751},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.517799973487854},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5109000205993652},{"id":"https://openalex.org/C21200559","wikidata":"https://www.wikidata.org/wiki/Q7451068","display_name":"Sensitivity (control systems)","level":2,"score":0.4575999975204468},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.44110000133514404},{"id":"https://openalex.org/C57493831","wikidata":"https://www.wikidata.org/wiki/Q3134666","display_name":"Projection (relational algebra)","level":2,"score":0.41830000281333923},{"id":"https://openalex.org/C17137986","wikidata":"https://www.wikidata.org/wiki/Q215067","display_name":"Orthogonality","level":2,"score":0.41130000352859497},{"id":"https://openalex.org/C55439883","wikidata":"https://www.wikidata.org/wiki/Q360812","display_name":"Correctness","level":2,"score":0.40689998865127563},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4059000015258789},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.3727000057697296},{"id":"https://openalex.org/C137822555","wikidata":"https://www.wikidata.org/wiki/Q2587068","display_name":"Information sensitivity","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C189950617","wikidata":"https://www.wikidata.org/wiki/Q937228","display_name":"Property (philosophy)","level":2,"score":0.3440999984741211},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.3400000035762787},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.3305000066757202},{"id":"https://openalex.org/C19220575","wikidata":"https://www.wikidata.org/wiki/Q1934099","display_name":"Subadditivity","level":2,"score":0.31769999861717224},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.3107999861240387},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.30250000953674316},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.30239999294281006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.30160000920295715},{"id":"https://openalex.org/C2778572836","wikidata":"https://www.wikidata.org/wiki/Q380933","display_name":"Space (punctuation)","level":2,"score":0.3000999987125397},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.28859999775886536},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2849999964237213},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2806999981403351},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2775999903678894},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2720000147819519},{"id":"https://openalex.org/C51167844","wikidata":"https://www.wikidata.org/wiki/Q4422623","display_name":"Latent variable","level":2,"score":0.2655999958515167},{"id":"https://openalex.org/C12362212","wikidata":"https://www.wikidata.org/wiki/Q728435","display_name":"Linear subspace","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C2778023277","wikidata":"https://www.wikidata.org/wiki/Q321703","display_name":"Premise","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.25949999690055847},{"id":"https://openalex.org/C184050105","wikidata":"https://www.wikidata.org/wiki/Q273163","display_name":"Isotropy","level":2,"score":0.25459998846054077}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tps-isa67132.2025.00084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tps-isa67132.2025.00084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 7th International Conference on Trust, Privacy and Security in Intelligent Systems, and Applications (TPS-ISA)","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":26,"referenced_works":["https://openalex.org/W1557833142","https://openalex.org/W1578378315","https://openalex.org/W1873763122","https://openalex.org/W2167372639","https://openalex.org/W2473418344","https://openalex.org/W2737047298","https://openalex.org/W2799209711","https://openalex.org/W2812083516","https://openalex.org/W2961396908","https://openalex.org/W2962770929","https://openalex.org/W2963100452","https://openalex.org/W2963626105","https://openalex.org/W2963767194","https://openalex.org/W2964118024","https://openalex.org/W2964339532","https://openalex.org/W2966295182","https://openalex.org/W2967880504","https://openalex.org/W2990269423","https://openalex.org/W3003162010","https://openalex.org/W3026885507","https://openalex.org/W3047371217","https://openalex.org/W3071470454","https://openalex.org/W3119742123","https://openalex.org/W3128252010","https://openalex.org/W4205228770","https://openalex.org/W4321321579"],"related_works":[],"abstract_inverted_index":{"In":[0],"this":[1,63,107,129],"paper,":[2],"we":[3,75,90,121],"address":[4],"the":[5,17,27,45,65,86,94,97,102,140,143,153,172,179,211],"challenge":[6],"of":[7,19,67,83,96,135],"selectively":[8],"protecting":[9],"specific":[10],"semantic":[11,57,196],"attributes":[12,84],"in":[13,44,85],"images":[14],"while":[15,161],"preserving":[16,162],"utility":[18,208],"others.":[20],"We":[21],"show":[22],"that,":[23],"under":[24,171],"our":[25,148,198],"mechanism,":[26],"released":[28],"attribute":[29,68,98,158],"scores":[30,69,99],"satisfy":[31],"<tex":[32],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[33],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">$(\\epsilon,":[34],"\\delta)$</tex>":[35],"differential":[36],"privacy.":[37],"Our":[38],"approach":[39],"introduces":[40],"a":[41,132,167],"trust":[42],"region":[43],"latent":[46,87],"space,":[47],"restricted":[48],"to":[49,109,116,127,166,210],"permissible":[50],"edits":[51],"(i.e.,":[52],"bounded":[53],"adjustments":[54],"along":[55,101,194],"designated":[56],"directions),":[58],"and":[59,105],"proves":[60],"that":[61,123,152],"within":[62],"region,":[64],"sensitivity":[66,92],"is":[70,125],"bounded.":[71],"Unlike":[72],"prior":[73],"work,":[74],"do":[76],"not":[77],"assume":[78],"orthogonality":[79],"or":[80],"linear":[81],"separability":[82],"space.":[88],"Instead,":[89],"bound":[91],"through":[93],"Jacobian":[95],"evaluated":[100],"chosen":[103],"subspace,":[104],"extend":[106],"analysis":[108],"joint":[110],"sub-spaces":[111],"capturing":[112],"entangled":[113],"attributes.":[114],"Finally,":[115],"make":[117],"privacy":[118,174,202],"certification":[119],"tractable,":[120],"demonstrate":[122],"it":[124],"sufficient":[126],"verify":[128],"boundedness":[130],"on":[131],"finite":[133],"cover":[134],"representative":[136],"points,":[137],"which":[138],"guarantees":[139,203],"property":[141],"over":[142],"entire":[144],"region.":[145],"On":[146],"StyleGAN-FFHQ,":[147],"empirical":[149],"evaluation":[150],"shows":[151],"proposed":[154],"mechanism":[155],"lowers":[156],"protected":[157,180,195],"inference":[159],"success":[160],"visual":[163,207],"quality":[164],"comparable":[165],"DP-calibrated":[168],"isotropic":[169,212],"baseline":[170],"same":[173],"parameters.":[175],"Importantly,":[176],"projection":[177],"into":[178],"subspace":[181],"suppresses":[182],"non-target":[183],"leakage:":[184],"subspace-restricted":[185],"noise":[186,213],"keeps":[187],"leakage":[188],"near":[189],"zero.":[190],"By":[191],"concentrating":[192],"perturbations":[193],"directions,":[197],"method":[199],"achieves":[200],"stronger":[201],"without":[204],"sacrificing":[205],"much":[206],"relative":[209],"method.":[214]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-03-04T00:00:00"}