{"id":"https://openalex.org/W7130544671","doi":"https://doi.org/10.48550/arxiv.2602.16596","title":"Sequential Membership Inference Attacks","display_name":"Sequential Membership Inference Attacks","publication_year":2026,"publication_date":"2026-02-18","ids":{"openalex":"https://openalex.org/W7130544671","doi":"https://doi.org/10.48550/arxiv.2602.16596"},"language":null,"primary_location":{"id":"pmh:doi:10.48550/arxiv.2602.16596","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":null,"any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5126418278","display_name":"Thomas Michel","orcid":null},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Michel, Thomas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5126382621","display_name":"Debabrota Basu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Basu, Debabrota","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5031703834","display_name":"Emilie Kaufmann","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Kaufmann, Emilie","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5126418278"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10764","display_name":"Privacy-Preserving Technologies in Data","score":0.4855000078678131,"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":0.4855000078678131,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.4555000066757202,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.012400000356137753,"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/sequence","display_name":"Sequence (biology)","score":0.733299970626831},{"id":"https://openalex.org/keywords/inference","display_name":"Inference","score":0.6269000172615051},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6089000105857849},{"id":"https://openalex.org/keywords/audit","display_name":"Audit","score":0.5893999934196472},{"id":"https://openalex.org/keywords/power","display_name":"Power (physics)","score":0.39070001244544983},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.387800008058548},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.36629998683929443}],"concepts":[{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.733299970626831},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7067000269889832},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.6269000172615051},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6089000105857849},{"id":"https://openalex.org/C199521495","wikidata":"https://www.wikidata.org/wiki/Q181487","display_name":"Audit","level":2,"score":0.5893999934196472},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.49869999289512634},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","level":2,"score":0.39070001244544983},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.387800008058548},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.36629998683929443},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.34860000014305115},{"id":"https://openalex.org/C2779843651","wikidata":"https://www.wikidata.org/wiki/Q7390335","display_name":"SIGNAL (programming language)","level":2,"score":0.3353999853134155},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3172000050544739},{"id":"https://openalex.org/C114289077","wikidata":"https://www.wikidata.org/wiki/Q3284399","display_name":"Statistical model","level":2,"score":0.31150001287460327},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3075999915599823},{"id":"https://openalex.org/C120936955","wikidata":"https://www.wikidata.org/wiki/Q2155640","display_name":"Empirical research","level":2,"score":0.2615000009536743},{"id":"https://openalex.org/C134261354","wikidata":"https://www.wikidata.org/wiki/Q938438","display_name":"Statistical inference","level":2,"score":0.25279998779296875},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.2515000104904175},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2502000033855438}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:doi:10.48550/arxiv.2602.16596","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2602.16596","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2602.16596","pdf_url":null,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:doi:10.48550/arxiv.2602.16596","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.4328997731208801,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modern":[0],"AI":[1],"models":[2,63,185],"are":[3,30],"not":[4],"static.":[5],"They":[6],"go":[7],"through":[8],"multiple":[9],"updates":[10,44,81],"in":[11],"their":[12],"lifecycles.":[13],"Thus,":[14],"exploiting":[15],"the":[16,34,47,55,77,84,96,102,121,131,135,141,145,149,166,170,203],"model":[17,43,80,132],"dynamics":[18],"to":[19,61,82,130,163,172,198],"create":[20],"stronger":[21],"Membership":[22],"Inference":[23],"(MI)":[24],"attacks":[25,58,143],"and":[26,169,184],"tighter":[27,174,199],"privacy":[28,175,200],"audits":[29,201],"timely":[31],"questions.":[32],"Though":[33],"literature":[35],"empirically":[36],"shows":[37],"that":[38,75,127,192],"using":[39],"a":[40,87,91,109],"sequence":[41,78,133],"of":[42,49,54,79,86,105,112,137,195],"can":[45,160],"increase":[46],"power":[48,104],"MI":[50,57,72,138,150],"attacks,":[51],"rigorous":[52],"analysis":[53],"`optimal'":[56,71],"is":[59],"limited":[60],"static":[62],"with":[64,114,189],"infinite":[65],"samples.":[66],"Hence,":[67],"we":[68,100,178],"develop":[69],"an":[70,158],"attack,":[73],"SeMI*,":[74,106],"uses":[76],"identify":[83],"presence":[85],"target":[88],"inserted":[89],"at":[90],"certain":[92],"update":[93],"step.":[94],"For":[95],"empirical":[97],"mean":[98],"computation,":[99],"derive":[101],"optimal":[103],"while":[107],"accessing":[108],"finite":[110],"number":[111],"samples":[113],"or":[115,187],"without":[116],"privacy.":[117],"Our":[118],"results":[119],"retrieve":[120],"existing":[122,142],"asymptotic":[123],"analysis.":[124],"We":[125],"observe":[126],"having":[128],"access":[129],"avoids":[134],"dilution":[136],"signals":[139],"unlike":[140],"on":[144],"final":[146],"model,":[147],"where":[148],"signal":[151],"vanishes":[152],"as":[153],"training":[154],"data":[155,182],"accumulates.":[156],"Furthermore,":[157],"adversary":[159],"use":[161],"SeMI*":[162,196],"tune":[164],"both":[165],"insertion":[167],"time":[168],"canary":[171],"yield":[173],"audits.":[176],"Finally,":[177],"conduct":[179],"experiments":[180],"across":[181],"distributions":[183],"trained":[186],"fine-tuned":[188],"DP-SGD":[190],"demonstrating":[191],"practical":[193],"variants":[194],"lead":[197],"than":[202],"baselines.":[204]},"counts_by_year":[],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2026-02-20T00:00:00"}
