{"id":"https://openalex.org/W2953536436","doi":"https://doi.org/10.3233/jifs-179295","title":"Generating adversarial examples for DNN using pooling layers","display_name":"Generating adversarial examples for DNN using pooling layers","publication_year":2019,"publication_date":"2019-07-02","ids":{"openalex":"https://openalex.org/W2953536436","doi":"https://doi.org/10.3233/jifs-179295","mag":"2953536436"},"language":"en","primary_location":{"id":"doi:10.3233/jifs-179295","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179295","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101993716","display_name":"Yueling Zhang","orcid":"https://orcid.org/0000-0002-5290-5691"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yueling Zhang","raw_affiliation_strings":["Computer Science and Software Engineering Institute, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering Institute, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5054490662","display_name":"Geguang Pu","orcid":"https://orcid.org/0000-0001-9750-8334"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Geguang Pu","raw_affiliation_strings":["Computer Science and Software Engineering Institute, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering Institute, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100402983","display_name":"Min Zhang","orcid":"https://orcid.org/0000-0003-1938-2902"},"institutions":[{"id":"https://openalex.org/I66867065","display_name":"East China Normal University","ror":"https://ror.org/02n96ep67","country_code":"CN","type":"education","lineage":["https://openalex.org/I66867065"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Min Zhang","raw_affiliation_strings":["Computer Science and Software Engineering Institute, East China Normal University, Shanghai, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Computer Science and Software Engineering Institute, East China Normal University, Shanghai, China","institution_ids":["https://openalex.org/I66867065"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5053562956","display_name":"Yaw-Poh Lim William","orcid":null},"institutions":[{"id":"https://openalex.org/I20089843","display_name":"Princeton University","ror":"https://ror.org/00hx57361","country_code":"US","type":"education","lineage":["https://openalex.org/I20089843"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"William Y","raw_affiliation_strings":["Department of Computer Science, Princeton University, Princeton, NJ, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, Princeton University, Princeton, NJ, USA","institution_ids":["https://openalex.org/I20089843"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101993716"],"corresponding_institution_ids":["https://openalex.org/I66867065"],"apc_list":null,"apc_paid":null,"fwci":0.4353,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.71389796,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":"37","issue":"4","first_page":"4615","last_page":"4620"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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":0.9994999766349792,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9921000003814697,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9847999811172485,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.9666366577148438},{"id":"https://openalex.org/keywords/pooling","display_name":"Pooling","score":0.8382667303085327},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7880723476409912},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.7738347053527832},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7651088237762451},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.708309531211853},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6392800807952881},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4748395085334778},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4645300805568695},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4134114682674408},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.2935652732849121}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9666366577148438},{"id":"https://openalex.org/C70437156","wikidata":"https://www.wikidata.org/wiki/Q7228652","display_name":"Pooling","level":2,"score":0.8382667303085327},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7880723476409912},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.7738347053527832},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7651088237762451},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.708309531211853},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6392800807952881},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4748395085334778},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4645300805568695},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4134114682674408},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2935652732849121},{"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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.3233/jifs-179295","is_oa":false,"landing_page_url":"https://doi.org/10.3233/jifs-179295","pdf_url":null,"source":{"id":"https://openalex.org/S179157397","display_name":"Journal of Intelligent & Fuzzy Systems","issn_l":"1064-1246","issn":["1064-1246","1875-8967"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310318577","host_organization_name":"IOS Press","host_organization_lineage":["https://openalex.org/P4310318577"],"host_organization_lineage_names":["IOS Press"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Journal of Intelligent & Fuzzy Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","score":0.4099999964237213,"display_name":"Climate action"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W2160815625","https://openalex.org/W2194775991","https://openalex.org/W2253429366","https://openalex.org/W2257979135","https://openalex.org/W2476429474","https://openalex.org/W2508015754","https://openalex.org/W2516574342","https://openalex.org/W2583993537","https://openalex.org/W2594877703","https://openalex.org/W2640329709","https://openalex.org/W2730651664","https://openalex.org/W2736278935","https://openalex.org/W2741855404","https://openalex.org/W2753704268","https://openalex.org/W2759071281","https://openalex.org/W2766447205","https://openalex.org/W2766677542","https://openalex.org/W2785685510","https://openalex.org/W2788590143","https://openalex.org/W2800473699","https://openalex.org/W2963571290","https://openalex.org/W2963857521","https://openalex.org/W2963913218","https://openalex.org/W2999084989","https://openalex.org/W3100935330","https://openalex.org/W3100944043","https://openalex.org/W6687483927","https://openalex.org/W6739868092","https://openalex.org/W6749550085","https://openalex.org/W6750974570","https://openalex.org/W6754889682","https://openalex.org/W6910318977"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W3093978547","https://openalex.org/W3203790781","https://openalex.org/W2997056298","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W3127875750","https://openalex.org/W4383221314","https://openalex.org/W2953536436"],"abstract_inverted_index":{"Deep":[0,35],"Neural":[1,36],"Network":[2,37],"is":[3,15],"an":[4],"application":[5],"of":[6,12,17,43,57,67],"Big":[7,13,44],"Data,":[8],"and":[9,39],"the":[10,18,41,55,74],"robustness":[11,42],"Data":[14],"one":[16],"most":[19],"important":[20],"issues.":[21],"This":[22],"paper":[23],"proposes":[24],"a":[25],"new":[26],"approach":[27],"named":[28],"PCD":[29,59,78,104],"for":[30,34,95],"computing":[31],"adversarial":[32,49,61,81,97,109],"examples":[33,50,62,82,98,110],"(DNN)":[38],"increase":[40],"Data.":[45],"In":[46],"safety-critical":[47],"applications,":[48],"are":[51],"big":[52],"threats":[53],"to":[54,91],"reliability":[56],"DNNs.":[58],"generates":[60,79],"by":[63],"generating":[64,96],"different":[65],"coverage":[66],"pooling":[68],"functions":[69],"using":[70],"gradient":[71],"ascent.":[72],"Among":[73],"2707":[75],"input":[76],"images,":[77],"672":[80],"with":[83,99],"L":[84],"\u221e":[85],"distances":[86,100],"less":[87,101],"than":[88,102,111],"0.3.":[89],"Comparing":[90],"PGD":[92,112],"(state-of-art":[93],"tool":[94],"0.3),":[103],"finds":[105],"1.5":[106],"times":[107],"more":[108],"(449)":[113],"does.":[114]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-05-21T06:26:12.895304","created_date":"2025-10-10T00:00:00"}