{"id":"https://openalex.org/W6983597072","doi":null,"title":"Multiparty adversarial neural cryptography with symmetric and asymmetric encryption","display_name":"Multiparty adversarial neural cryptography with symmetric and asymmetric encryption","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W6983597072"},"language":"en","primary_location":{"id":"pmh:oai:DiVA.org:kth-305290","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305290","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bachelorThesis"},"volume":null,"type":"dissertation","is_traditional":true,"indexed_in":[],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305290","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ju, Tianpeng","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ju, Tianpeng","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":true,"primary_topic":{"id":"https://openalex.org/T10951","display_name":"Cryptographic Implementations and Security","score":0.4758000075817108,"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/T10951","display_name":"Cryptographic Implementations and Security","score":0.4758000075817108,"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":0.4675000011920929,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.014000000432133675,"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/neural-cryptography","display_name":"neural cryptography","score":0.8059999942779541},{"id":"https://openalex.org/keywords/multi-party-system","display_name":"multiparty system","score":0.7179999947547913},{"id":"https://openalex.org/keywords/symmetric-encryption","display_name":"symmetric encryption","score":0.9570000171661377},{"id":"https://openalex.org/keywords/public-key-cryptography","display_name":"public-key cryptography","score":1.0},{"id":"https://openalex.org/keywords/eavesdropping","display_name":"eavesdropping","score":0.8299999833106995},{"id":"https://openalex.org/keywords/multi-agent-systems","display_name":"multi-agent systems","score":0.7289999723434448}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7293000221252441},{"id":"https://openalex.org/C148730421","wikidata":"https://www.wikidata.org/wiki/Q141090","display_name":"Encryption","level":2,"score":0.7188000082969666},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6955000162124634},{"id":"https://openalex.org/C2776788033","wikidata":"https://www.wikidata.org/wiki/Q320769","display_name":"Eavesdropping","level":2,"score":0.6759999990463257},{"id":"https://openalex.org/C178489894","wikidata":"https://www.wikidata.org/wiki/Q8789","display_name":"Cryptography","level":2,"score":0.5927000045776367},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.5716999769210815},{"id":"https://openalex.org/C2779014939","wikidata":"https://www.wikidata.org/wiki/Q6510239","display_name":"Learning with errors","level":3,"score":0.48969998955726624},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.48750001192092896},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45260000228881836},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.42879998683929443},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.387800008058548},{"id":"https://openalex.org/C126954023","wikidata":"https://www.wikidata.org/wiki/Q4316440","display_name":"Neural cryptography","level":4,"score":0.36579999327659607},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.35019999742507935},{"id":"https://openalex.org/C65302260","wikidata":"https://www.wikidata.org/wiki/Q327675","display_name":"Symmetric-key algorithm","level":4,"score":0.3375000059604645},{"id":"https://openalex.org/C2776608160","wikidata":"https://www.wikidata.org/wiki/Q4785462","display_name":"Natural (archaeology)","level":2,"score":0.2896000146865845},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.28690001368522644},{"id":"https://openalex.org/C3073032","wikidata":"https://www.wikidata.org/wiki/Q15912075","display_name":"Information hiding","level":3,"score":0.2842999994754791},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2782999873161316},{"id":"https://openalex.org/C108801101","wikidata":"https://www.wikidata.org/wiki/Q15032","display_name":"Steganography","level":3,"score":0.259799987077713}],"mesh":[],"locations_count":1,"locations":[{"id":"pmh:oai:DiVA.org:kth-305290","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305290","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bachelorThesis"}],"best_oa_location":{"id":"pmh:oai:DiVA.org:kth-305290","doi":null,"is_oa":true,"landing_page_url":"http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-305290","pdf_url":null,"source":{"id":"https://openalex.org/S4306401559","display_name":"KTH Publication Database DiVA (KTH Royal Institute of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I86987016","host_organization_name":"KTH Royal Institute of Technology","host_organization_lineage":["https://openalex.org/I86987016"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"info:eu-repo/semantics/bachelorThesis"},"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W3003226690","https://openalex.org/W2545316382","https://openalex.org/W7008113664","https://openalex.org/W4367682491","https://openalex.org/W4400235022","https://openalex.org/W4401487943","https://openalex.org/W3170586204","https://openalex.org/W7163073902","https://openalex.org/W3129490245","https://openalex.org/W4412933751"],"abstract_inverted_index":{"Deep":[0],"learning":[1,82],"has":[2,108],"shown":[3],"excellent":[4],"performance":[5],"in":[6,146],"image":[7],"recognition,":[8,10],"speech":[9],"natural":[11],"language":[12],"processing":[13],"and":[14,30,43,73,98,128,143],"other":[15],"fields":[16],"over":[17],"the":[18,28,35,84,88,92,100,104,110,117,120,125,132,137,144],"recent":[19],"decades.":[20],"Cryptography":[21],"is":[22],"a":[23,59,62],"technical":[24],"science":[25],"that":[26,87],"studies":[27],"preparation":[29],"decoding":[31],"of":[32,37,112,119,131],"ciphers.":[33],"With":[34],"development":[36],"artificial":[38,48],"intelligence,":[39],"people":[40],"pay":[41],"more":[42,44],"attention":[45],"to":[46,53],"whether":[47],"intelligence":[49],"can":[50,90],"be":[51],"applied":[52],"cryptography.":[54],"A":[55],"Google":[56],"team":[57],"designed":[58],"multiagent":[60],"system":[61,85],"few":[63],"years":[64],"ago,":[65],"which":[66],"includes":[67],"encrypting":[68],"neural":[69],"network,":[70],"cracking":[71,103],"network":[72],"eavesdropping":[74],"network.":[75],"Based":[76,115],"on":[77,116,140],"symmetric":[78],"encryption,":[79],"through":[80],"deep":[81],"training,":[83],"achieves":[86],"cracker":[89],"crack":[91],"encrypted":[93],"text":[94],"with":[95],"minimal":[96],"error":[97],"prevent":[99],"eavesdropper":[101],"from":[102],"plaintext.":[105],"This":[106],"research":[107,118],"aroused":[109],"interest":[111],"many":[113],"scholars.":[114],"system,":[121,133],"this":[122],"thesis":[123],"discusses":[124],"basic":[126],"principle":[127],"related":[129],"experiments":[130],"as":[134,136],"well":[135],"design":[138],"based":[139],"asymmetric":[141],"encryption":[142],"application":[145],"multiparty":[147],"systems.":[148]},"counts_by_year":[],"updated_date":"2026-08-27T14:10:00.468798","created_date":"2025-10-10T00:00:00"}
