{"id":"https://openalex.org/W7153093311","doi":"https://doi.org/10.48550/arxiv.2604.08276","title":"ACF: A Collaborative Framework for Agent Covert Communication under Cognitive Asymmetry","display_name":"ACF: A Collaborative Framework for Agent Covert Communication under Cognitive Asymmetry","publication_year":2026,"publication_date":"2026-04-09","ids":{"openalex":"https://openalex.org/W7153093311","doi":"https://doi.org/10.48550/arxiv.2604.08276"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.08276","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08276","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":null,"license_id":null,"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.2604.08276","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101941676","display_name":"Weihao Wu","orcid":"https://orcid.org/0000-0001-6239-2984"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wu, Wansheng","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133344351","display_name":"Kaibo Huang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Huang, Kaibo","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005606849","display_name":"Yukun Wei","orcid":"https://orcid.org/0000-0001-7967-3846"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wei, Yukun","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5133372110","display_name":"Zhongliang Yang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Zhongliang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5133336368","display_name":"Linna Zhou","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhou, Linna","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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.2660999894142151,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.2660999894142151,"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":0.11379999667406082,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.10010000318288803,"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/covert","display_name":"Covert","score":0.5468999743461609},{"id":"https://openalex.org/keywords/cognition","display_name":"Cognition","score":0.5235000252723694},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.48190000653266907},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.48159998655319214},{"id":"https://openalex.org/keywords/cognitive-model","display_name":"Cognitive model","score":0.4447999894618988},{"id":"https://openalex.org/keywords/cognitive-radio","display_name":"Cognitive radio","score":0.43320000171661377},{"id":"https://openalex.org/keywords/cognitive-architecture","display_name":"Cognitive architecture","score":0.3752000033855438},{"id":"https://openalex.org/keywords/channel","display_name":"Channel (broadcasting)","score":0.36489999294281006},{"id":"https://openalex.org/keywords/semantics","display_name":"Semantics (computer science)","score":0.3634999990463257},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.35530000925064087}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7501000165939331},{"id":"https://openalex.org/C2779338814","wikidata":"https://www.wikidata.org/wiki/Q5179285","display_name":"Covert","level":2,"score":0.5468999743461609},{"id":"https://openalex.org/C169900460","wikidata":"https://www.wikidata.org/wiki/Q2200417","display_name":"Cognition","level":2,"score":0.5235000252723694},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.48190000653266907},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.48159998655319214},{"id":"https://openalex.org/C161407221","wikidata":"https://www.wikidata.org/wiki/Q4382939","display_name":"Cognitive model","level":3,"score":0.4447999894618988},{"id":"https://openalex.org/C149946192","wikidata":"https://www.wikidata.org/wiki/Q3235733","display_name":"Cognitive radio","level":3,"score":0.43320000171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40939998626708984},{"id":"https://openalex.org/C20854674","wikidata":"https://www.wikidata.org/wiki/Q4386060","display_name":"Cognitive architecture","level":3,"score":0.3752000033855438},{"id":"https://openalex.org/C127162648","wikidata":"https://www.wikidata.org/wiki/Q16858953","display_name":"Channel (broadcasting)","level":2,"score":0.36489999294281006},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.3634999990463257},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.35530000925064087},{"id":"https://openalex.org/C141603448","wikidata":"https://www.wikidata.org/wiki/Q134830","display_name":"Prefix","level":2,"score":0.35519999265670776},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.3506999909877777},{"id":"https://openalex.org/C177212765","wikidata":"https://www.wikidata.org/wiki/Q627335","display_name":"Workflow","level":2,"score":0.3449999988079071},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.33889999985694885},{"id":"https://openalex.org/C2778112365","wikidata":"https://www.wikidata.org/wiki/Q3511065","display_name":"Sequence (biology)","level":2,"score":0.33390000462532043},{"id":"https://openalex.org/C48145219","wikidata":"https://www.wikidata.org/wiki/Q1335365","display_name":"Security token","level":2,"score":0.33320000767707825},{"id":"https://openalex.org/C29024540","wikidata":"https://www.wikidata.org/wiki/Q1476964","display_name":"Covert channel","level":5,"score":0.3224000036716461},{"id":"https://openalex.org/C41550386","wikidata":"https://www.wikidata.org/wiki/Q529909","display_name":"Multi-agent system","level":2,"score":0.29580000042915344},{"id":"https://openalex.org/C151319957","wikidata":"https://www.wikidata.org/wiki/Q752739","display_name":"Asynchronous communication","level":2,"score":0.29499998688697815},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.29440000653266907},{"id":"https://openalex.org/C150420422","wikidata":"https://www.wikidata.org/wiki/Q5141238","display_name":"Cognitive resource theory","level":3,"score":0.29100000858306885},{"id":"https://openalex.org/C168167062","wikidata":"https://www.wikidata.org/wiki/Q1117970","display_name":"Component (thermodynamics)","level":2,"score":0.288100004196167},{"id":"https://openalex.org/C61641136","wikidata":"https://www.wikidata.org/wiki/Q1107019","display_name":"Cognitive load","level":3,"score":0.2865000069141388},{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.2800000011920929},{"id":"https://openalex.org/C2776459999","wikidata":"https://www.wikidata.org/wiki/Q2119376","display_name":"Fidelity","level":2,"score":0.2689000070095062},{"id":"https://openalex.org/C159023740","wikidata":"https://www.wikidata.org/wiki/Q623276","display_name":"Deadlock","level":2,"score":0.2669000029563904},{"id":"https://openalex.org/C2777200299","wikidata":"https://www.wikidata.org/wiki/Q52943","display_name":"Conversation","level":2,"score":0.26429998874664307},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.2628999948501587},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.2565000057220459},{"id":"https://openalex.org/C2780428219","wikidata":"https://www.wikidata.org/wiki/Q16952335","display_name":"Cover (algebra)","level":2,"score":0.251800000667572},{"id":"https://openalex.org/C2780385302","wikidata":"https://www.wikidata.org/wiki/Q367158","display_name":"Protocol (science)","level":3,"score":0.25099998712539673}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.08276","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08276","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.08276","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.08276","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":null,"license_id":null,"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":{"As":[0],"generative":[1],"artificial":[2],"intelligence":[3],"evolves,":[4],"autonomous":[5],"agent":[6,159],"networks":[7],"present":[8],"a":[9,29,93,99],"powerful":[10],"paradigm":[11,96],"for":[12,157],"interactive":[13],"covert":[14,80,136],"communication.":[15,137],"However,":[16],"because":[17],"agents":[18],"dynamically":[19],"update":[20],"internal":[21],"memories":[22],"via":[23,85],"environmental":[24],"interactions,":[25],"existing":[26],"methods":[27],"face":[28],"critical":[30],"structural":[31],"vulnerability:":[32],"cognitive":[33,39,68,89,108,119],"asymmetry.":[34],"Conventional":[35],"approaches":[36],"demand":[37],"strict":[38],"symmetry,":[40],"requiring":[41],"identical":[42],"sequence":[43],"prefixes":[44],"between":[45],"the":[46,72,105],"encoder":[47],"and":[48,88,135,150],"decoder.":[49],"In":[50],"dynamic":[51],"deployments,":[52],"inevitable":[53],"prefix":[54],"discrepancies":[55],"destroy":[56],"synchronization,":[57],"inducing":[58],"severe":[59,118,124],"channel":[60,125],"degradation.":[61],"To":[62],"address":[63],"this":[64],"core":[65],"challenge":[66],"of":[67],"asymmetry,":[69,120],"we":[70],"propose":[71],"Asymmetric":[73],"Collaborative":[74],"Framework":[75],"(ACF),":[76],"which":[77],"structurally":[78],"decouples":[79],"communication":[81],"from":[82],"semantic":[83,133],"reasoning":[84],"orthogonal":[86],"statistical":[87],"layers.":[90],"By":[91],"deploying":[92],"prefix-independent":[94],"decoding":[95],"governed":[97],"by":[98],"shared":[100],"steganographic":[101],"configuration,":[102],"ACF":[103,128],"eliminates":[104],"reliance":[106],"on":[107,111],"symmetry.":[109],"Evaluations":[110],"realistic":[112],"memory-augmented":[113],"workflows":[114],"demonstrate":[115],"that":[116],"under":[117],"symmetric":[121],"baselines":[122],"suffer":[123],"degradation,":[126],"whereas":[127],"uniquely":[129],"excels":[130],"across":[131],"both":[132],"fidelity":[134],"It":[138],"maintains":[139],"computational":[140],"indistinguishability,":[141],"enabling":[142],"reliable":[143],"secret":[144],"extraction":[145],"with":[146],"provable":[147],"error":[148],"bounds,":[149],"providing":[151],"robust":[152],"Effective":[153],"Information":[154],"Capacity":[155],"guarantees":[156],"modern":[158],"networks.":[160]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-11T00:00:00"}