{"id":"https://openalex.org/W7160903899","doi":"https://doi.org/10.48550/arxiv.2605.08646","title":"PAAC: Privacy-Aware Agentic Device-Cloud Collaboration","display_name":"PAAC: Privacy-Aware Agentic Device-Cloud Collaboration","publication_year":2026,"publication_date":"2026-05-09","ids":{"openalex":"https://openalex.org/W7160903899","doi":"https://doi.org/10.48550/arxiv.2605.08646"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2605.08646","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08646","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2605.08646","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5022883297","display_name":"Liangqi Yuan","orcid":"https://orcid.org/0000-0002-9994-6773"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yuan, Liangqi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012031491","display_name":"Wenzhi Fang","orcid":"https://orcid.org/0000-0003-3013-8978"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fang, Wenzhi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100443968","display_name":"Shiqiang Wang","orcid":"https://orcid.org/0000-0003-2090-5512"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wang, Shiqiang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5020399355","display_name":"Christopher G. Brinton","orcid":"https://orcid.org/0000-0003-2771-3521"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brinton, Christopher G.","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"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/T11424","display_name":"Security and Verification in Computing","score":0.2207999974489212,"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/T11424","display_name":"Security and Verification in Computing","score":0.2207999974489212,"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/T11986","display_name":"Scientific Computing and Data Management","score":0.09700000286102295,"subfield":{"id":"https://openalex.org/subfields/1802","display_name":"Information Systems and Management"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision 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":0.08540000021457672,"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/executable","display_name":"Executable","score":0.6299999952316284},{"id":"https://openalex.org/keywords/flexibility","display_name":"Flexibility (engineering)","score":0.5608000159263611},{"id":"https://openalex.org/keywords/outcome","display_name":"Outcome (game theory)","score":0.4749999940395355},{"id":"https://openalex.org/keywords/cloud-computing","display_name":"Cloud computing","score":0.4544000029563904},{"id":"https://openalex.org/keywords/fidelity","display_name":"Fidelity","score":0.3817000091075897},{"id":"https://openalex.org/keywords/boundary","display_name":"Boundary (topology)","score":0.3797999918460846},{"id":"https://openalex.org/keywords/information-privacy","display_name":"Information privacy","score":0.37450000643730164},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.3734000027179718},{"id":"https://openalex.org/keywords/protocol","display_name":"Protocol (science)","score":0.3564000129699707}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7188000082969666},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.6299999952316284},{"id":"https://openalex.org/C2780598303","wikidata":"https://www.wikidata.org/wiki/Q65921492","display_name":"Flexibility (engineering)","level":2,"score":0.5608000159263611},{"id":"https://openalex.org/C148220186","wikidata":"https://www.wikidata.org/wiki/Q7111912","display_name":"Outcome (game theory)","level":2,"score":0.4749999940395355},{"id":"https://openalex.org/C79974875","wikidata":"https://www.wikidata.org/wiki/Q483639","display_name":"Cloud computing","level":2,"score":0.4544000029563904},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.40869998931884766},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.3817000091075897},{"id":"https://openalex.org/C62354387","wikidata":"https://www.wikidata.org/wiki/Q875399","display_name":"Boundary (topology)","level":2,"score":0.3797999918460846},{"id":"https://openalex.org/C123201435","wikidata":"https://www.wikidata.org/wiki/Q456632","display_name":"Information privacy","level":2,"score":0.37450000643730164},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.3734000027179718},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.3564000129699707},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.35569998621940613},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.353300005197525},{"id":"https://openalex.org/C71745522","wikidata":"https://www.wikidata.org/wiki/Q2476929","display_name":"Confidentiality","level":2,"score":0.34209999442100525},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33649998903274536},{"id":"https://openalex.org/C174348530","wikidata":"https://www.wikidata.org/wiki/Q188635","display_name":"Bridging (networking)","level":2,"score":0.33649998903274536},{"id":"https://openalex.org/C171268870","wikidata":"https://www.wikidata.org/wiki/Q1486676","display_name":"GRASP","level":2,"score":0.3068000078201294},{"id":"https://openalex.org/C47487241","wikidata":"https://www.wikidata.org/wiki/Q5227230","display_name":"Data access","level":2,"score":0.30309998989105225},{"id":"https://openalex.org/C2164484","wikidata":"https://www.wikidata.org/wiki/Q5170150","display_name":"Core (optical fiber)","level":2,"score":0.30160000920295715},{"id":"https://openalex.org/C2777904410","wikidata":"https://www.wikidata.org/wiki/Q7397","display_name":"Software","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.28870001435279846},{"id":"https://openalex.org/C108827166","wikidata":"https://www.wikidata.org/wiki/Q175975","display_name":"Internet privacy","level":1,"score":0.2883000075817108},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C46934059","wikidata":"https://www.wikidata.org/wiki/Q61515","display_name":"Outsourcing","level":2,"score":0.25870001316070557},{"id":"https://openalex.org/C22171661","wikidata":"https://www.wikidata.org/wiki/Q1074380","display_name":"Stochastic game","level":2,"score":0.2531999945640564}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2605.08646","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08646","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2605.08646","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2605.08646","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"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":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Large":[0],"language":[1],"model":[2],"(LLM)":[3],"agents":[4,10,20],"face":[5],"a":[6,36,41,52,70,139],"structural":[7,59],"tension:":[8],"cloud":[9,92],"provide":[11],"strong":[12],"reasoning":[13,104],"but":[14],"expose":[15],"user":[16],"data,":[17],"while":[18,106,110,138],"on-device":[19,112,130],"preserve":[21,100],"privacy":[22,89,159,167,190],"at":[23],"the":[24,58,79,88,111,129,163,186],"cost":[25],"of":[26,166],"overall":[27],"capability.":[28],"Existing":[29],"device-cloud":[30,80,183],"designs":[31],"treat":[32],"this":[33,65],"boundary":[34,43,81],"as":[35],"compute":[37],"split":[38],"rather":[39],"than":[40],"trust":[42],"suited":[44],"to":[45,132,136],"agentic":[46,72,155],"workloads,":[47],"and":[48,57,117,145,168,175,210],"existing":[49],"sanitizers":[50],"force":[51],"choice":[53],"between":[54],"policy":[55],"flexibility":[56],"fidelity":[60],"tool":[61],"calls":[62],"require.":[63],"In":[64],"work,":[66],"we":[67],"develop":[68],"PAAC,":[69],"privacy-aware":[71],"framework":[73],"that":[74,83,99],"aligns":[75],"planner--executor":[76],"decomposition":[77],"with":[78,185],"so":[82],"role":[84,105],"specialization":[85],"itself":[86],"becomes":[87],"mechanism.":[90],"The":[91],"agent":[93,113],"reasons":[94],"over":[95,181],"typed":[96],"placeholder":[97],"tokens":[98],"each":[101,119],"sensitive":[102,115],"value's":[103],"discarding":[107],"its":[108],"content,":[109],"identifies":[114],"spans":[116,135],"distills":[118],"step's":[120],"execution":[121],"outcome":[122],"into":[123],"compact":[124],"key":[125],"findings.":[126],"Sanitization":[127],"confines":[128],"LLM":[131],"proposing":[133],"which":[134],"mask,":[137],"deterministic":[140],"registry":[141],"performs":[142],"all":[143],"substitution":[144],"reversal,":[146],"keeping":[147],"actions":[148],"directly":[149],"executable":[150],"on":[151,189,200],"device.":[152],"On":[153],"three":[154],"benchmarks":[156,203],"under":[157],"strict":[158],"settings,":[160],"PAAC":[161],"dominates":[162],"Pareto":[164],"frontier":[165],"accuracy,":[169],"improving":[170],"average":[171,177],"accuracy":[172],"by":[173,179],"15-36\\%":[174],"reducing":[176],"leakage":[178],"2-6$\\times$":[180],"state-of-the-art":[182],"baselines,":[184],"largest":[187],"margins":[188],"targets":[191],"outside":[192],"fixed":[193],"entity":[194],"taxonomies.":[195],"We":[196],"find":[197],"consistent":[198],"improvements":[199],"17":[201],"additional":[202],"spanning":[204],"10":[205],"domains,":[206],"including":[207],"math,":[208],"science,":[209],"finance.":[211]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-05-13T00:00:00"}