{"id":"https://openalex.org/W3093048694","doi":"https://doi.org/10.1145/3394171.3413882","title":"Searching Privately by Imperceptible Lying: A Novel Private Hashing Method with Differential Privacy","display_name":"Searching Privately by Imperceptible Lying: A Novel Private Hashing Method with Differential Privacy","publication_year":2020,"publication_date":"2020-10-12","ids":{"openalex":"https://openalex.org/W3093048694","doi":"https://doi.org/10.1145/3394171.3413882","mag":"3093048694"},"language":"en","primary_location":{"id":"doi:10.1145/3394171.3413882","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"conference-paper","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/A5008792199","display_name":"Yimu Wang","orcid":"https://orcid.org/0000-0003-4255-9104"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yimu Wang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5024572427","display_name":"Shiyin Lu","orcid":"https://orcid.org/0000-0001-6438-5999"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiyin Lu","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100448155","display_name":"Lijun Zhang","orcid":"https://orcid.org/0000-0002-5138-3182"},"institutions":[{"id":"https://openalex.org/I881766915","display_name":"Nanjing University","ror":"https://ror.org/01rxvg760","country_code":"CN","type":"education","lineage":["https://openalex.org/I881766915"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lijun Zhang","raw_affiliation_strings":["Nanjing University, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":0.805,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.76750401,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":"51","issue":null,"first_page":"2700","last_page":"2709"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.9990000128746033,"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":0.9990000128746033,"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/T11448","display_name":"Face recognition and analysis","score":0.98580002784729,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9736999869346619,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.8813199996948242},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7862236499786377},{"id":"https://openalex.org/keywords/hash-function","display_name":"Hash function","score":0.671901285648346},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.5091485381126404},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.4267309904098511},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.41592273116111755},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.338295042514801},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.2841055989265442},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1742592751979828},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1644325852394104}],"concepts":[{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.8813199996948242},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7862236499786377},{"id":"https://openalex.org/C99138194","wikidata":"https://www.wikidata.org/wiki/Q183427","display_name":"Hash function","level":2,"score":0.671901285648346},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.5091485381126404},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4267309904098511},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.41592273116111755},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.338295042514801},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2841055989265442},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1742592751979828},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1644325852394104}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3394171.3413882","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3394171.3413882","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.75}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W69540849","https://openalex.org/W1502916507","https://openalex.org/W1686810756","https://openalex.org/W1797268635","https://openalex.org/W1846799578","https://openalex.org/W1873763122","https://openalex.org/W1951304353","https://openalex.org/W1968923698","https://openalex.org/W1974647172","https://openalex.org/W1992371516","https://openalex.org/W2007972815","https://openalex.org/W2017851434","https://openalex.org/W2027595342","https://openalex.org/W2038276547","https://openalex.org/W2041517999","https://openalex.org/W2044195942","https://openalex.org/W2053637704","https://openalex.org/W2057069782","https://openalex.org/W2060036647","https://openalex.org/W2093932377","https://openalex.org/W2096633407","https://openalex.org/W2108598243","https://openalex.org/W2112380340","https://openalex.org/W2112796928","https://openalex.org/W2119874464","https://openalex.org/W2144190046","https://openalex.org/W2150230313","https://openalex.org/W2151320232","https://openalex.org/W2162379889","https://openalex.org/W2164338181","https://openalex.org/W2167372639","https://openalex.org/W2194775991","https://openalex.org/W2293597654","https://openalex.org/W2402125293","https://openalex.org/W2464915613","https://openalex.org/W2473418344","https://openalex.org/W2504108613","https://openalex.org/W2593378684","https://openalex.org/W2618530766","https://openalex.org/W2740030094","https://openalex.org/W2740036143","https://openalex.org/W2740912563","https://openalex.org/W2766724094","https://openalex.org/W2890032859","https://openalex.org/W2950943617","https://openalex.org/W2962786441","https://openalex.org/W2963305974","https://openalex.org/W2963398644","https://openalex.org/W2963473170","https://openalex.org/W2964064173","https://openalex.org/W2964280870","https://openalex.org/W2965612127","https://openalex.org/W2965887165","https://openalex.org/W2982065678","https://openalex.org/W2990138404","https://openalex.org/W3009438181","https://openalex.org/W3016091997","https://openalex.org/W3103722964","https://openalex.org/W3118608800","https://openalex.org/W4205228770","https://openalex.org/W4247924304","https://openalex.org/W6657138077"],"related_works":["https://openalex.org/W1990534671","https://openalex.org/W3041052722","https://openalex.org/W2508834110","https://openalex.org/W2132768130","https://openalex.org/W3200879895","https://openalex.org/W3010239717","https://openalex.org/W3142187282","https://openalex.org/W2605293275","https://openalex.org/W2521571880","https://openalex.org/W1480198903"],"abstract_inverted_index":{"In":[0,75],"the":[1,6,46,53,66,123,127,141,154,167,182,194,212,219,243],"big":[2],"data":[3],"era,":[4],"with":[5,41,122,256],"increasing":[7],"amount":[8],"of":[9,55,68,129,144,166,214],"multi-media":[10],"data,":[11],"approximate":[12],"nearest":[13],"neighbor~(ANN)":[14],"search":[15,29,39,245],"has":[16,32],"been":[17],"an":[18,145],"important":[19],"but":[20],"challenging":[21,83],"problem.":[22],"As":[23],"a":[24,87,106,136],"widely":[25],"applied":[26],"large-scale":[27],"ANN":[28],"method,":[30],"hashing":[31,49,116,188,258],"made":[33],"great":[34],"progress,":[35],"and":[36,57,85,100,113,120,152,178,247],"achieved":[37],"sub-linear":[38],"time":[40],"low":[42],"memory":[43],"space.":[44],"However,":[45,193],"advances":[47],"in":[48,199],"are":[50],"based":[51],"on":[52,242],"availability":[54],"large":[56],"representative":[58],"datasets,":[59],"which":[60,93],"often":[61],"contain":[62],"sensitive":[63,71],"information.":[64],"Typically,":[65],"privacy":[67,101,134,142,161,198],"this":[69,76,80,208],"individually":[70],"information":[72],"is":[73,135],"compromised.":[74],"paper,":[77],"we":[78,104,238],"tackle":[79],"valuable":[81],"yet":[82],"problem":[84],"formulate":[86],"task":[88,246],"termed":[89],"as":[90],"private":[91,115],"hashing,":[92],"takes":[94],"into":[95,225],"account":[96],"both":[97],"searching":[98],"performance":[99,204,254],"protection.":[102],"Specifically,":[103],"propose":[105],"novel":[107],"noise":[108,180,195,220],"mechanism,":[109],"i.e.,":[110,118],"Random":[111,147,191,223],"Flipping,":[112],"two":[114],"algorithms,":[117,237],"PHashing":[119,176,200],"PITQ,":[121],"refined":[124],"analysis":[125],"within":[126],"framework":[128],"differential":[130,133],"privacy,":[131,175],"since":[132],"well-established":[137],"technique":[138],"to":[139,158,181,217,233],"measure":[140],"leakage":[143],"algorithm.":[146],"Flipping":[148,224],"targets":[149],"binary":[150,168],"scenarios":[151],"leverages":[153,211],"\"Imperceptible":[155],"Lying\"":[156],"idea":[157],"guarantee":[159],"\u03b5-differential":[160,174,230],"by":[162,186,222],"flipping":[163],"each":[164,226],"datum":[165],"matrix":[169],"(noise":[170],"addition).":[171],"To":[172,206],"preserve":[173],"perturbs":[177],"adds":[179],"hash":[183],"codes":[184],"learned":[185],"non-private":[187,257],"algorithms":[189,251],"using":[190],"Flipping.":[192],"addition":[196],"for":[197],"will":[201],"cause":[202],"severe":[203],"drops.":[205],"alleviate":[207],"problem,":[209],"PITQ":[210],"power":[213],"alternative":[215],"learning":[216],"distribute":[218],"generated":[221],"iteration":[227],"while":[228],"preserving":[229],"privacy.":[231],"Furthermore,":[232],"empirically":[234],"evaluate":[235],"our":[236],"conduct":[239],"comprehensive":[240],"experiments":[241],"image":[244],"demonstrate":[248],"that":[249],"proposed":[250],"achieve":[252],"equal":[253],"compared":[255],"methods.":[259]},"counts_by_year":[{"year":2023,"cited_by_count":6},{"year":2021,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
