{"id":"https://openalex.org/W4384118554","doi":"https://doi.org/10.48550/arxiv.2307.04677","title":"Practical Trustworthiness Model for DNN in Dedicated 6G Application","display_name":"Practical Trustworthiness Model for DNN in Dedicated 6G Application","publication_year":2023,"publication_date":"2023-07-10","ids":{"openalex":"https://openalex.org/W4384118554","doi":"https://doi.org/10.48550/arxiv.2307.04677"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2307.04677","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.04677","pdf_url":"https://arxiv.org/pdf/2307.04677","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2307.04677","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5033586394","display_name":"Anouar Nechi","orcid":"https://orcid.org/0000-0001-9680-6145"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Nechi, Anouar","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103633938","display_name":"Ahmed Mahmoudi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mahmoudi, Ahmed","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5038641648","display_name":"C. Herold","orcid":"https://orcid.org/0000-0002-0315-6823"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Herold, Christoph","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5037711952","display_name":"Daniel Widmer","orcid":"https://orcid.org/0000-0003-0207-0136"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Widmer, Daniel","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5111720244","display_name":"Thomas K\u00fcrner","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"K\u00fcrner, Thomas","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039777488","display_name":"Mladen Berekovi\u0107","orcid":"https://orcid.org/0000-0003-1911-756X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Berekovic, Mladen","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5024325751","display_name":"Saleh Mulhem","orcid":"https://orcid.org/0000-0001-7380-5270"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mulhem, Saleh","raw_affiliation_strings":[],"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5033586394"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.995199978351593,"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/T12131","display_name":"Wireless Signal Modulation Classification","score":0.995199978351593,"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":0.9693999886512756,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9413999915122986,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/trustworthiness","display_name":"Trustworthiness","score":0.8784319162368774},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7690038681030273},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7004155516624451},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6109445691108704},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5174925327301025},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.458509236574173},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.45790883898735046},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.41979312896728516},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.34804245829582214},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.25418344140052795}],"concepts":[{"id":"https://openalex.org/C153701036","wikidata":"https://www.wikidata.org/wiki/Q659974","display_name":"Trustworthiness","level":2,"score":0.8784319162368774},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7690038681030273},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7004155516624451},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6109445691108704},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5174925327301025},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.458509236574173},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.45790883898735046},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.41979312896728516},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.34804245829582214},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.25418344140052795},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"pmh:oai:arXiv.org:2307.04677","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.04677","pdf_url":"https://arxiv.org/pdf/2307.04677","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},{"id":"doi:10.48550/arxiv.2307.04677","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2307.04677","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:oai:arXiv.org:2307.04677","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2307.04677","pdf_url":"https://arxiv.org/pdf/2307.04677","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":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"text"},"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.5,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4384118554.pdf","grobid_xml":"https://content.openalex.org/works/W4384118554.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W4383221314","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W2997056298"],"abstract_inverted_index":{"Artificial":[0],"intelligence":[1],"(AI)":[2],"is":[3,33],"considered":[4],"an":[5],"efficient":[6],"response":[7],"to":[8,24,39,56,77,121],"several":[9],"challenges":[10],"facing":[11],"6G":[12,48,65,88,129],"technology.":[13,89],"However,":[14],"AI":[15,61],"still":[16],"suffers":[17],"from":[18],"a":[19,34,37,53,63,91],"huge":[20],"trust":[21],"issue":[22],"due":[23],"its":[25,96],"ambiguous":[26],"way":[27],"of":[28,60,125],"making":[29],"predictions.":[30],"Therefore,":[31],"there":[32],"need":[35],"for":[36,46,127],"method":[38],"evaluate":[40,122],"the":[41,58,79,115,123],"AI's":[42],"trustworthiness":[43,59,93,117,124],"in":[44,62,85],"practice":[45],"future":[47],"applications.":[49],"This":[50],"paper":[51],"presents":[52],"practical":[54],"model":[55,94],"analyze":[57],"dedicated":[64],"application.":[66,130],"In":[67],"particular,":[68],"we":[69],"present":[70],"two":[71],"customized":[72],"Deep":[73],"Neural":[74],"Networks":[75],"(DNNs)":[76],"solve":[78],"Automatic":[80],"Modulation":[81],"Recognition":[82],"(AMR)":[83],"problem":[84],"Terahertz":[86],"communications-based":[87],"Then,":[90],"specific":[92],"and":[95,103],"attributes,":[97],"namely":[98],"data":[99],"robustness,":[100],"parameter":[101],"sensitivity,":[102],"security":[104],"covering":[105],"adversarial":[106],"examples,":[107],"are":[108,119],"introduced.":[109],"The":[110],"evaluation":[111],"results":[112],"indicate":[113],"that":[114],"proposed":[116],"attributes":[118],"crucial":[120],"DNN":[126],"this":[128]},"counts_by_year":[],"updated_date":"2026-03-10T16:38:18.471706","created_date":"2025-10-10T00:00:00"}