{"id":"https://openalex.org/W4390547766","doi":"https://doi.org/10.1145/3632410.3633294","title":"Tutorial on Fair and Private Deep Learning","display_name":"Tutorial on Fair and Private Deep Learning","publication_year":2024,"publication_date":"2024-01-03","ids":{"openalex":"https://openalex.org/W4390547766","doi":"https://doi.org/10.1145/3632410.3633294"},"language":"en","primary_location":{"id":"doi:10.1145/3632410.3633294","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632410.3633294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)","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/A5089569722","display_name":"Manisha Padala","orcid":"https://orcid.org/0000-0001-8918-4739"},"institutions":[{"id":"https://openalex.org/I59270414","display_name":"Indian Institute of Science Bangalore","ror":"https://ror.org/04dese585","country_code":"IN","type":"education","lineage":["https://openalex.org/I59270414"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Manisha Padala","raw_affiliation_strings":["Indian Institute of Science, Bangalore, India"],"raw_orcid":"https://orcid.org/0000-0001-8918-4739","affiliations":[{"raw_affiliation_string":"Indian Institute of Science, Bangalore, India","institution_ids":["https://openalex.org/I59270414"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026321774","display_name":"Sankarshan Damle","orcid":"https://orcid.org/0000-0003-1460-6102"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sankarshan Damle","raw_affiliation_strings":["IIIT Hyderabad, India"],"raw_orcid":"https://orcid.org/0000-0003-1460-6102","affiliations":[{"raw_affiliation_string":"IIIT Hyderabad, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058878407","display_name":"Sujit Gujar","orcid":"https://orcid.org/0000-0003-4634-7862"},"institutions":[{"id":"https://openalex.org/I64189192","display_name":"International Institute of Information Technology, Hyderabad","ror":"https://ror.org/05f11g639","country_code":"IN","type":"education","lineage":["https://openalex.org/I64189192"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sujit Gujar","raw_affiliation_strings":["International Institute of Information Technology, Hyderabad, India"],"raw_orcid":"https://orcid.org/0000-0003-4634-7862","affiliations":[{"raw_affiliation_string":"International Institute of Information Technology, Hyderabad, India","institution_ids":["https://openalex.org/I64189192"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5089569722"],"corresponding_institution_ids":["https://openalex.org/I59270414"],"apc_list":null,"apc_paid":null,"fwci":0.6623,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.71476515,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"510","last_page":"513"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9998999834060669,"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":0.9998999834060669,"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/T10883","display_name":"Ethics and Social Impacts of AI","score":0.9925000071525574,"subfield":{"id":"https://openalex.org/subfields/3311","display_name":"Safety Research"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9437999725341797,"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/notice","display_name":"Notice","score":0.8514919281005859},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7671538591384888},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5834745764732361},{"id":"https://openalex.org/keywords/presentation","display_name":"Presentation (obstetrics)","score":0.5501723885536194},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.4950686991214752},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4853862524032593},{"id":"https://openalex.org/keywords/private-information-retrieval","display_name":"Private information retrieval","score":0.47416749596595764},{"id":"https://openalex.org/keywords/code","display_name":"Code (set theory)","score":0.4633527100086212},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.4629019498825073},{"id":"https://openalex.org/keywords/internet-privacy","display_name":"Internet privacy","score":0.4405183792114258},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.41839799284935},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.11782747507095337},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.10322868824005127},{"id":"https://openalex.org/keywords/political-science","display_name":"Political science","score":0.10083428025245667}],"concepts":[{"id":"https://openalex.org/C2779913896","wikidata":"https://www.wikidata.org/wiki/Q7063001","display_name":"Notice","level":2,"score":0.8514919281005859},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7671538591384888},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5834745764732361},{"id":"https://openalex.org/C2777601897","wikidata":"https://www.wikidata.org/wiki/Q3409113","display_name":"Presentation (obstetrics)","level":2,"score":0.5501723885536194},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.4950686991214752},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4853862524032593},{"id":"https://openalex.org/C99221444","wikidata":"https://www.wikidata.org/wiki/Q1532069","display_name":"Private information retrieval","level":2,"score":0.47416749596595764},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4633527100086212},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.4629019498825073},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.4405183792114258},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.41839799284935},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.11782747507095337},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.10322868824005127},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.10083428025245667},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C126838900","wikidata":"https://www.wikidata.org/wiki/Q77604","display_name":"Radiology","level":1,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3632410.3633294","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3632410.3633294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 7th Joint International Conference on Data Science & Management of Data (11th ACM IKDD CODS and 29th COMAD)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6100000143051147,"display_name":"Quality Education","id":"https://metadata.un.org/sdg/4"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1819662813","https://openalex.org/W2014352947","https://openalex.org/W2051267297","https://openalex.org/W2100960835","https://openalex.org/W2473418344","https://openalex.org/W2599025709","https://openalex.org/W2905029197","https://openalex.org/W2950103651","https://openalex.org/W2962925443","https://openalex.org/W2990239018","https://openalex.org/W3089046691","https://openalex.org/W3138531978","https://openalex.org/W3195834862","https://openalex.org/W4205461913","https://openalex.org/W4221150131","https://openalex.org/W4225244023","https://openalex.org/W4254286751","https://openalex.org/W4283796812","https://openalex.org/W4327653356","https://openalex.org/W4378419983","https://openalex.org/W6638208828"],"related_works":["https://openalex.org/W3018282762","https://openalex.org/W2558055997","https://openalex.org/W2791183434","https://openalex.org/W2353369313","https://openalex.org/W2086339586","https://openalex.org/W4300782058","https://openalex.org/W2394387726","https://openalex.org/W2378724474","https://openalex.org/W1472269183","https://openalex.org/W2596305496"],"abstract_inverted_index":{"Deep":[0,83],"Learning":[1],"(DL)":[2],"finds":[3],"application":[4],"in":[5,32,105,127,149],"several":[6],"prominent":[7],"fields,":[8],"including":[9],"computer":[10],"vision,":[11],"natural":[12],"language":[13],"processing,":[14],"and":[15,34,73,81,98,107,116,122,146,157],"bioinformatics.":[16],"The":[17,154],"proliferation":[18],"of":[19,38,65,100],"DL-based":[20],"methods":[21,108],"has":[22,61],"brought":[23],"to":[24,45,50,87,109,136,143],"notice":[25],"critical":[26],"issues":[27,49],"about":[28],"bias":[29],"(or":[30,151],"unfairness)":[31],"classification":[33],"weak":[35],"privacy":[36,147],"guarantees":[37],"the":[39,52,66,144],"training":[40],"data.":[41],"It":[42],"is":[43],"crucial":[44],"prioritize":[46],"addressing":[47],"these":[48],"prevent":[51],"potentially":[53],"significant":[54],"negative":[55],"impact":[56],"on":[57,69,79,92],"users.":[58],"While":[59],"there":[60],"been":[62],"progress,":[63],"majority":[64],"works":[67],"focus":[68],"independently":[70],"resolving":[71],"fairness":[72,103,145],"privacy.":[74],"We":[75],"propose":[76],"a":[77],"tutorial":[78],"\u201cFair":[80],"Private":[82],"Learning\u201d":[84],"\u2013":[85],"aimed":[86],"provide":[88],"an":[89],"exhaustive":[90],"discussion":[91],"(i)":[93],"reasons":[94],"behind":[95],"unfair":[96],"classifications":[97],"lack":[99],"privacy,":[101],"(ii)":[102],"notions":[104],"literature":[106],"ensure":[110],"them,":[111],"(iii)":[112],"differentially":[113],"private":[114,123],"DL,":[115],"(iv)":[117],"algorithms":[118],"that":[119],"address":[120],"fair":[121],"DL":[124,139],"simultaneously.":[125],"Moreover,":[126],"this":[128],"tutorial,":[129],"we":[130],"not":[131],"just":[132],"limit":[133],"our":[134],"attention":[135],"classical,":[137],"centralized":[138],"models":[140],"but":[141],"also":[142],"challenges":[148],"distributed":[150],"federated)":[152],"DL.":[153],"code,":[155],"presentation":[156],"other":[158],"details":[159],"are":[160],"available":[161],"at":[162],"https://github.com/magnetar-iiith/FairPrivateDL.":[163]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}