{“id”:“https://openalex.org/W3199239810“,”doi“:”https://doi.org/10.1007/978-3-030-86362-3_7“,”title“:”神经网络可接受鲁棒性的统计认证“,”display_name“:”神经网络可接受鲁棒性的统计认证“,”publication_year“:2021,”publication_date“:”2021-01-01“,”ids“:{”openalex“:”https://openalex.org/W3199239810“,”doi“:”https://doi.org/10.1007/978-3-030-86362-3_7“,”mag“:”3199239810“},”language“:”en“,”primary_location“:{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-030-86362-3_7“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book-series”},“license”:null,“licence_id”:nul,“version”:null,“is_accepted”:false,“is_published”:false},”type“:”book-chapter“,”type_crossref“:“book-chapter”,”indexed_in“:[“crossref”],”open_access“:{”is_oa“:false”“,”oa_url“:空,”any_repository_has_fulltext“:false},”作者身份“:[{”作者位置“:”第一个“,”作者“:{”id“:”https://openalex.org/A5057248193“,”display_name“:”Chengqiang Huang“,”orcid“:null},”institutions“:[],”countries“:[],”is_corresponding“:true,”raw_author_name“:”Chengqiang Hung“,”raw _affiliation_strings“:【”Huawei Technology Co.Ltd.“]},{”author_position“:”middle“,”author“:{”id“:”https://openalex.org/A5075198788“,”display_name“:”郑虎“,”兽人“:”https://orcid.org/0000-0002-8874-5466“},”机构“:[],”国家“:[[],”is_corresponding“:true,”raw_author_name“:”郑虎“,”raw关联字符串“:[”华为技术有限公司“]},{“author_position”:“middle”,“author”:{“id”:“https://openalex.org/A502085889“,”display_name“:”黄小伟“,”兽人“:”https://orcid.org/0000-0001-6267-0366},“机构”:[{“id”:https://openalex.org/I146655781“,”display_name“:”利物浦大学“,”ror“:”网址:https://ror.org/04xs57h96“,”country_code“:”GB“,”type“:“教育”,”世系“:[”https://openalex.org/I146655781“]}],”国家“:[”GB“],”is_corresponding“:true,”raw_author_name“:”黄晓伟“,”raw _ afiliation_strings“:[“利物浦大学”]},{“author_position”:“last”,“author”:{“id”:“https://openalex.org/A5091491018“,”display_name“:”柯培“,”兽人“:”https://orcid.org/0000-0001-9714-573X“},”institutions“:[],”countries“:[],”is_corresponding“:true,”raw_author_name“:”Ke Pei“,”raw _affiliation_strings“:”Huawei Technology Co.Ltd.“]}],”countries_distict_count“:1,”instistictions_disticent_count“:l,”corresponding_author_ids“:[”https://openalex.org/A5057248193","https://openalex.org/A5075198788","https://openalex.org/A502085889","https://openalex.org/A5091491018“],”对应的机构ID“:[”https://openalex.org/I146655781“],”apc_list“:{”value“:5000,”currency“:”EUR“,”value_usd“:5392,”provenance“:”doaj“},”apc _payed“:{“value”:5000,“currench”:“EUR”,”value_ usd“:5392,“provenance”:“doaj”},“has_fulltext”:false,“cited_by_count”:8,“citect_by_percentile_year”:{“min”:88,“max”:89},“issue”:null,“first_page”:“79”,“last_page”:“90”},“is_retracted”:falseis_paratext“:false,”primary_topic“:{”id“:”https://openalex.org/T11689“,”“display_name”:“深度学习模型中的对抗健壮性”,“score”:1.0,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},”主题“:[{”id“:”https://openalex.org/T11689“,”“display_name”:“深度学习模型中的对抗健壮性”,“score”:1.0,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T14117“,”display_name“:”集成电路故障分析“,”score“:0.9902,”subfield“:{”id“:”https://openalex.org/subfields/2208“,”display_name“:”电气与电子工程“},”字段“:{”id“:”https://openalex.org/fields/22“,”display_name“:”Engineering“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}},{”id“:”https://openalex.org/T11512“,”“display_name”:“高维数据中的异常检测”,“score”:0.9886,“subfield”:{“id”:“https://openalex.org/subfields/1702“,”display_name“:”人工智能“},”字段“:{”id“:”https://openalex.org/fields/17“,”display_name“:”Computer Science“},”domain“:{”id“:”https://openalex.org/domains/3“,”display_name“:”物理科学“}}],”关键词“:[{”id“:”https://openalex.org/keywords/robustivity网站“,”display_name“:”健壮性“,”score“:0.600469},{”id“:”https://openalex.org/keywords/nanoprobing“,”display_name“:”Nanoprobing“,”score“:0.516506},{”id“:”https://openalex.org/keywords/uncertainty-eestimation网站“,”display_name“:”不确定性估计“,”score“:0.511322}],”concepts“:[{”id“:”https://openalex.org/C63479239,“wikidata”:https://www.wikidata.org/wiki/Q7353546“,”display_name“:”鲁棒性(进化)“,”level“:3,”score“:0.9023118},{”id“:”https://openalex.org/C41008148,“wikidata”:https://www.wikidata.org/wiki/Q21198“,”display_name“:”计算机科学“,”level“:0,”score“:0.7805531},{”id“:”https://openalex.org/C50644808,“wikidata”:https://www.wikidata.org/wiki/Q192776“,”display_name“:”人工神经网络“,”level“:2,”score“:0.7183631},{”id“:”https://openalex.org/C154945302,“wikidata”:https://www.wikidata.org/wiki/Q11660“,”display_name“:”人工智能“,”level“:1,”score“:0.4023254},{”id“:”https://openalex.org/C119857082,“wikidata”:https://www.wikidata.org/wiki/Q2539“,”display_name“:”机器学习“,”level“:1,”score“:0.38278115},{”id“:”https://openalex.org/C124101348,“wikidata”:https://www.wikidata.org/wiki/Q172491“,”display_name“:”数据挖掘“,”level“:1,”score“:0.34888124},{”id“:”https://openalex.org/C55493867,“wikidata”:https://www.wikidata.org/wiki/Q7094“,”display_name“:”生物化学“,”level“:1,”score“:0.0},{”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}],”mesh“:[],”locations_count“:1,”location“:[{”is_oa“:false,”landing_page_url“:”https://doi.org/10.1007/978-3-030-86362-3_7“,”pdf_url“:空,”源“:{”id“:”https://openalex.org/S106296714“,”“display_name”“:”“计算机科学课堂讲稿”“,”issn_l“:”0302-9743“,”isn“:[”0302-7743“、”1611-3349“],”is_oa“:false,”is_in_doaj“:false,”host_organization“:”https://openalex.org/P4310318900“,”“host_organization_name”:“Springer Science+Business Media”,“host_organization_lineage”:[“https://openalex.org/P431031965","https://openalex.org/P4310318900“],”host_organization_lineage_names“:[”Springer Nature“,”Springer-Science+Business Media“],“type”:“book series”},“license”:null,“licence_id”:null,“version”:null,“is_accepted”:false,“is_published”:false}],“best_oa_location”:nul,“sustainable_development_goals”:[],“grants”:[],“dataset”:[]],“versions”:[】,“referenced_works_count”:11,“referenced_works“:[”https://openalex.org/W2194775991","https://openalex.org/W2543296129","https://openalex.org/W2594877703","https://openalex.org/W2745565856","https://openalex.org/W2791251367","https://openalex.org/W2900153411","https://openalex.org/W2963857521","https://openalex.org/W2964082701","https://openalex.org/W2965189679","https://openalex.org/W3034215083","https://openalex.org/W4233413206“],”related_works“:[”https://openalex.org/W4386462264","https://openalex.org/W4364306694","https://openalex.org/W4312192474","https://openalex.org/W4306674287","https://openalex.org/W4283697347","https://openalex.org/W4210805261","https://openalex.org/W3170094116","https://openalex.org/W3107602296","https://openalex.org/W3046775127","https://openalex.org/W2961085424“],”ngrams_url“:”https://api.openalex.org/works/W3199239810/ngrams“,”“abstract_inverted_index”:{“Neural”:[0],“network”:[1,11,19],“robusiness”:[2,30,42,48,82118],“measurement”:[3],“is”:[4,78],“a”:[5],“critical”:[6],“step”:[7],“before”:[8],“deploying”:[9],“Neural”:[10,18,50,85122],“applications.”:%12],“Ho然而,”:[13],“existing”:[14],“methods”:[15],“此类”:[16],“如”:[17,55,57],“验证”:[20,65],“和“:[21,60,66,87],”验证“:[22],”做“:[23],”不“:[24],”完全“:[25],”满足“:[26],”我们的“:[27,76],”标准“:[28],”对于“:[29,45],”测量。“:[31],”From“:[32],”the“:[33,47105109117],”industrial“:[34],”point-of-view“,:[35],”this“:[36],”paper“:[37],”proposes“:[38],”to“:[39,62,94100],”use“:[40],”statistical“:[41107],”certifications“:[43111],”(SRC)“:[44],”measuring“:[46],”of“:[49,83119],”networks“:[51,86],“反对”:[52],“随机”:[53],“噪音”:[54],“好”:[56],“语义”:[58],“扰动“:[59],”尝试“:[61],”桥接“:[63],”介于“:[64],”验证“:[67],”方法“:[68],”通过“:[69],”Hoeffing“:[70],”不等式。“:[71],”我们的“:[72],”实验“:[73],”显示“:[74],”那个“:[75],”方法“:[77],”精确“:[79],”在“:[80,97115],”比较“:[81116],”不同“:[84],”有“:[88],”多项式“:[89],”时间“:[90],”复杂性“:[91],”哪个“:[92],”领先“:[93],”3x-30x“:[95],”提升“:[96],”效率”:[98],“比较”:[99],“相关”:[101],“方法。“:[102],”Together“:[103],”with“:%104],”intrinsic“:[106],”guarantee“,”:[108],”issued“:[110],”are“,”considered“:[113],”utically“:[114],”variable“:[120],”commercial“:[121],”networks“。“:[123]},”cited_by_api_url“:”https://api.openalex.org/works?filter=引用:W3199239810“,”counts_by_year“:[{”年份“:2023,”cited_by_count“:7},{”年“:2022,”cited_by_count”:1}],”更新日期“:”2024-05-16T02:04:22.125564“,”创建日期“:“2021-09-27”}