{"id":"https://openalex.org/W2913220500","doi":"https://doi.org/10.1145/3308558.3313703","title":"Evaluating Anti-Fingerprinting Privacy Enhancing Technologies","display_name":"Evaluating Anti-Fingerprinting Privacy Enhancing Technologies","publication_year":2019,"publication_date":"2019-05-13","ids":{"openalex":"https://openalex.org/W2913220500","doi":"https://doi.org/10.1145/3308558.3313703","mag":"2913220500"},"language":"en","primary_location":{"id":"doi:10.1145/3308558.3313703","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313703","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3308558.3313703","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3308558.3313703","any_repository_has_fulltext":null},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5000399481","display_name":"Amit Datta","orcid":"https://orcid.org/0000-0003-3516-7970"},"institutions":[{"id":"https://openalex.org/I4210142583","display_name":"Snap (United States)","ror":"https://ror.org/04dgkhg68","country_code":"US","type":"company","lineage":["https://openalex.org/I4210142583"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Amit Datta","raw_affiliation_strings":["Snap, Inc., USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Snap, Inc., USA","institution_ids":["https://openalex.org/I4210142583"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102965174","display_name":"Jianan L\u00fc","orcid":"https://orcid.org/0000-0002-6383-506X"},"institutions":[{"id":"https://openalex.org/I95457486","display_name":"University of California, Berkeley","ror":"https://ror.org/01an7q238","country_code":"US","type":"education","lineage":["https://openalex.org/I95457486"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianan Lu","raw_affiliation_strings":["University of California, Berkeley, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of California, Berkeley, USA","institution_ids":["https://openalex.org/I95457486"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5088732631","display_name":"Michael Carl Tschantz","orcid":"https://orcid.org/0000-0003-1367-3784"},"institutions":[{"id":"https://openalex.org/I1297971548","display_name":"International Computer Science Institute","ror":"https://ror.org/01ewh7m12","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I1297971548"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Michael Carl Tschantz","raw_affiliation_strings":["International Computer Science Institute, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"International Computer Science Institute, USA","institution_ids":["https://openalex.org/I1297971548"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4461,"has_fulltext":true,"cited_by_count":17,"citation_normalized_percentile":{"value":0.86348635,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"351","last_page":"362"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","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/T11045","display_name":"Privacy, Security, and Data Protection","score":0.9994000196456909,"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"}},{"id":"https://openalex.org/T12262","display_name":"Hate Speech and Cyberbullying Detection","score":0.9987000226974487,"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/computer-science","display_name":"Computer science","score":0.7973885536193848},{"id":"https://openalex.org/keywords/observational-study","display_name":"Observational study","score":0.5910053253173828},{"id":"https://openalex.org/keywords/privacy-protection","display_name":"Privacy protection","score":0.46633481979370117},{"id":"https://openalex.org/keywords/bundle","display_name":"Bundle","score":0.4476453959941864},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.4464499354362488},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.39379405975341797},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.29431581497192383}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7973885536193848},{"id":"https://openalex.org/C23131810","wikidata":"https://www.wikidata.org/wiki/Q818574","display_name":"Observational study","level":2,"score":0.5910053253173828},{"id":"https://openalex.org/C3017597292","wikidata":"https://www.wikidata.org/wiki/Q25052250","display_name":"Privacy protection","level":2,"score":0.46633481979370117},{"id":"https://openalex.org/C2778134712","wikidata":"https://www.wikidata.org/wiki/Q1047307","display_name":"Bundle","level":2,"score":0.4476453959941864},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.4464499354362488},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.39379405975341797},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.29431581497192383},{"id":"https://openalex.org/C192562407","wikidata":"https://www.wikidata.org/wiki/Q228736","display_name":"Materials science","level":0,"score":0.0},{"id":"https://openalex.org/C142724271","wikidata":"https://www.wikidata.org/wiki/Q7208","display_name":"Pathology","level":1,"score":0.0},{"id":"https://openalex.org/C159985019","wikidata":"https://www.wikidata.org/wiki/Q181790","display_name":"Composite material","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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3308558.3313703","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313703","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3308558.3313703","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"}],"best_oa_location":{"id":"doi:10.1145/3308558.3313703","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3308558.3313703","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3308558.3313703","source":null,"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The World Wide Web Conference","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.4399999976158142}],"awards":[{"id":"https://openalex.org/G174305257","display_name":null,"funder_award_id":"1514509","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"},{"id":"https://openalex.org/G5942611854","display_name":null,"funder_award_id":"1704985","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2913220500.pdf","grobid_xml":"https://content.openalex.org/works/W2913220500.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W57737232","https://openalex.org/W138849684","https://openalex.org/W1146624807","https://openalex.org/W1525967479","https://openalex.org/W1965883625","https://openalex.org/W1966175380","https://openalex.org/W1972524097","https://openalex.org/W2069434875","https://openalex.org/W2099474262","https://openalex.org/W2114771311","https://openalex.org/W2150957322","https://openalex.org/W2159764755","https://openalex.org/W2228852330","https://openalex.org/W2256284630","https://openalex.org/W2256498168","https://openalex.org/W2295783095","https://openalex.org/W2297075900","https://openalex.org/W2535603283","https://openalex.org/W2612608334","https://openalex.org/W2620476287","https://openalex.org/W2723746209","https://openalex.org/W2733005124","https://openalex.org/W2750799145","https://openalex.org/W2888653983","https://openalex.org/W2889547494","https://openalex.org/W2963646714","https://openalex.org/W2976319488","https://openalex.org/W4295023194","https://openalex.org/W4405238749"],"related_works":["https://openalex.org/W4381328000","https://openalex.org/W2109147503","https://openalex.org/W1984720268","https://openalex.org/W2103779230","https://openalex.org/W2322581019","https://openalex.org/W334096847","https://openalex.org/W3141050733","https://openalex.org/W2030936866","https://openalex.org/W1533309927","https://openalex.org/W1688175311"],"abstract_inverted_index":{"We":[0,48,75,98],"study":[1],"how":[2],"to":[3,23,71,80,85,91],"evaluate":[4],"Anti-Fingerprinting":[5],"Privacy":[6],"Enhancing":[7],"Technologies":[8],"(AFPETs).":[9],"Experimental":[10],"methods":[11,33,79],"have":[12,34],"the":[13,35,42,57,87,93],"advantage":[14,36],"of":[15,37,53,59,67,83],"control":[16],"and":[17,19,39],"precision,":[18],"can":[20],"be":[21,92],"applied":[22],"new":[24],"AFPETs":[25,84],"that":[26],"currently":[27,44],"lack":[28],"a":[29,50,68,81],"user":[30],"base.":[31],"Observational":[32],"scale":[38],"drawing":[40],"from":[41],"browsers":[43],"in":[45,102],"real-world":[46],"use.":[47],"propose":[49],"novel":[51],"combination":[52],"these":[54],"methods,":[55],"offering":[56],"best":[58],"both":[60],"worlds,":[61],"by":[62],"applying":[63],"experimentally":[64],"created":[65],"models":[66],"AFPET's":[69],"behavior":[70],"an":[72],"observational":[73],"dataset.":[74],"apply":[76],"our":[77],"evaluation":[78],"collection":[82],"find":[86],"Tor":[88],"Browser":[89],"Bundle":[90],"most":[94],"effective":[95],"among":[96],"them.":[97],"further":[99],"uncover":[100],"inconsistencies":[101],"some":[103],"AFPETs'":[104],"behaviors.":[105]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
