{"id":"https://openalex.org/W4400222295","doi":"https://doi.org/10.1145/3658644.3670298","title":"Data Poisoning Attacks to Locally Differentially Private Frequent Itemset Mining Protocols","display_name":"Data Poisoning Attacks to Locally Differentially Private Frequent Itemset Mining Protocols","publication_year":2024,"publication_date":"2024-12-02","ids":{"openalex":"https://openalex.org/W4400222295","doi":"https://doi.org/10.1145/3658644.3670298"},"language":"en","primary_location":{"id":"doi:10.1145/3658644.3670298","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3670298","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3670298","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3670298","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5021538603","display_name":"Wei Tong","orcid":"https://orcid.org/0000-0002-8427-6068"},"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":true,"raw_author_name":"Wei Tong","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Haoyu Chen","orcid":"https://orcid.org/0009-0002-4899-9119"},"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":"Haoyu Chen","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiacheng Niu","orcid":"https://orcid.org/0009-0005-9935-4988"},"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":"Jiacheng Niu","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5060268538","display_name":"Sheng Zhong","orcid":"https://orcid.org/0000-0002-6581-8730"},"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":"Sheng Zhong","raw_affiliation_strings":["State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China","institution_ids":["https://openalex.org/I881766915"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5021538603"],"corresponding_institution_ids":["https://openalex.org/I881766915"],"apc_list":null,"apc_paid":null,"fwci":1.3627,"has_fulltext":true,"cited_by_count":4,"citation_normalized_percentile":{"value":0.8354729,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"3555","last_page":"3569"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":1.0,"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":1.0,"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/T11598","display_name":"Internet Traffic Analysis and Secure E-voting","score":0.9919000267982483,"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":0.9904000163078308,"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":0.8268676400184631},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.6816498041152954},{"id":"https://openalex.org/keywords/differential-privacy","display_name":"Differential privacy","score":0.5315586924552917},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5186742544174194},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.48780515789985657},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.485996812582016},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.46049052476882935}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8268676400184631},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.6816498041152954},{"id":"https://openalex.org/C23130292","wikidata":"https://www.wikidata.org/wiki/Q5275358","display_name":"Differential privacy","level":2,"score":0.5315586924552917},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5186742544174194},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.48780515789985657},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.485996812582016},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.46049052476882935},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3658644.3670298","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3670298","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3670298","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2406.19466","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2406.19466","pdf_url":"https://arxiv.org/pdf/2406.19466","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"doi:10.1145/3658644.3670298","is_oa":true,"landing_page_url":"https://doi.org/10.1145/3658644.3670298","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3658644.3670298","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 on ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.7400000095367432,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G2087396116","display_name":null,"funder_award_id":"China","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3317480652","display_name":null,"funder_award_id":"Science","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4020847745","display_name":null,"funder_award_id":"62372226,62002159,62272215","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"},{"id":"https://openalex.org/G5994120800","display_name":null,"funder_award_id":"Natural","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G7799805684","display_name":null,"funder_award_id":"BK20202001","funder_id":"https://openalex.org/F4320323817","funder_display_name":"Universitas Brawijaya"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320323817","display_name":"Universitas Brawijaya","ror":"https://ror.org/01wk3d929"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4400222295.pdf"},"referenced_works_count":23,"referenced_works":["https://openalex.org/W1981029888","https://openalex.org/W1986293063","https://openalex.org/W2027595342","https://openalex.org/W2097272254","https://openalex.org/W2532967691","https://openalex.org/W2626769593","https://openalex.org/W2783821034","https://openalex.org/W2964138696","https://openalex.org/W3023689477","https://openalex.org/W3091476023","https://openalex.org/W3102859907","https://openalex.org/W3154572656","https://openalex.org/W3186164875","https://openalex.org/W3192324887","https://openalex.org/W3213827288","https://openalex.org/W4299365791","https://openalex.org/W4299828299","https://openalex.org/W4306317429","https://openalex.org/W4310895557","https://openalex.org/W4323343874","https://openalex.org/W4385834088","https://openalex.org/W4387665637","https://openalex.org/W6657138077"],"related_works":["https://openalex.org/W3038283795","https://openalex.org/W2604501336","https://openalex.org/W2558166297","https://openalex.org/W2734500670","https://openalex.org/W2315671126","https://openalex.org/W798507144","https://openalex.org/W2964481303","https://openalex.org/W1751413323","https://openalex.org/W1970141429","https://openalex.org/W2081472162"],"abstract_inverted_index":{"Local":[0],"differential":[1],"privacy":[2],"(LDP)":[3],"provides":[4],"a":[5,124],"way":[6],"for":[7],"an":[8,81],"untrusted":[9],"data":[10,15,22,58,63,83,113,133],"collector":[11],"to":[12,57,95,104,150,153,166],"aggregate":[13],"users'":[14],"without":[16],"violating":[17],"their":[18],"privacy.":[19],"Various":[20],"privacy-preserving":[21,45],"analysis":[23,84],"tasks":[24],"have":[25],"been":[26],"studied":[27],"under":[28,71],"the":[29,51,86,139,148,168,178,181,184,187],"protection":[30],"of":[31,53,88,180,186],"LDP,":[32,72],"such":[33,73],"as":[34,74],"frequency":[35,75],"estimation,":[36],"frequent":[37,90,118,142],"itemset":[38,91,119,143],"mining,":[39],"and":[40,77,111,146,183],"machine":[41],"learning.":[42],"Despite":[43],"its":[44],"properties,":[46],"recent":[47],"research":[48],"has":[49,93,147],"demonstrated":[50],"vulnerability":[52],"certain":[54],"LDP":[55,89,117,141],"protocols":[56,145,155],"poisoning":[59,64,114,134],"attacks.":[60,174],"However,":[61],"existing":[62],"attacks":[65,115],"are":[66],"focused":[67],"on":[68,163],"basic":[69],"statistics":[70],"estimation":[76],"mean/variance":[78],"estimation.":[79],"As":[80],"important":[82],"task,":[85],"security":[87],"mining":[92,120,144],"yet":[94],"be":[96,151],"thoroughly":[97],"examined.":[98],"In":[99],"this":[100,106],"paper,":[101],"we":[102],"aim":[103],"address":[105],"issue":[107],"by":[108],"presenting":[109],"novel":[110],"practical":[112],"against":[116],"protocols.":[121],"By":[122],"introducing":[123],"unified":[125],"attack":[126,130,135,170],"framework":[127],"with":[128,156,171],"composable":[129],"operations,":[131],"our":[132],"can":[136],"successfully":[137],"manipulate":[138],"state-of-the-art":[140],"potential":[149],"adapted":[152],"other":[154],"similar":[157],"structures.":[158],"We":[159],"conduct":[160],"extensive":[161],"experiments":[162],"three":[164],"datasets":[165],"compare":[167],"proposed":[169,188],"four":[172],"baseline":[173],"The":[175],"results":[176],"demonstrate":[177],"severity":[179],"threat":[182],"effectiveness":[185],"attack.":[189]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":1}],"updated_date":"2026-04-10T15:06:20.359241","created_date":"2024-07-02T00:00:00"}