{"id":"https://openalex.org/W4400268505","doi":"https://doi.org/10.1145/3665348.3665384","title":"Exploring Robustness under New Adversarial Threats: A Comprehensive Analysis of Deep Neural Network Defenses","display_name":"Exploring Robustness under New Adversarial Threats: A Comprehensive Analysis of Deep Neural Network Defenses","publication_year":2024,"publication_date":"2024-05-10","ids":{"openalex":"https://openalex.org/W4400268505","doi":"https://doi.org/10.1145/3665348.3665384"},"language":"en","primary_location":{"id":"doi:10.1145/3665348.3665384","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3665348.3665384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"},"type":"conference-paper","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/A5102958818","display_name":"Wenzhao Liu","orcid":"https://orcid.org/0009-0009-1906-1202"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wenzhao Liu","raw_affiliation_strings":["PLA Strategy Support Force Information Engineering University, China and \rThe PLA Unit 63892, China","PLA Strategy Support Force Information Engineering University, China and The PLA Unit 63892, China"],"raw_orcid":"https://orcid.org/0009-0009-1906-1202","affiliations":[{"raw_affiliation_string":"PLA Strategy Support Force Information Engineering University, China and \rThe PLA Unit 63892, China","institution_ids":["https://openalex.org/I169689159"]},{"raw_affiliation_string":"PLA Strategy Support Force Information Engineering University, China and The PLA Unit 63892, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5022560867","display_name":"Kuiwu Yang","orcid":"https://orcid.org/0000-0002-0201-9229"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kuiwu Yang","raw_affiliation_strings":["PLA Strategy Support Force Information Engineering University, China"],"raw_orcid":"https://orcid.org/0000-0002-0201-9229","affiliations":[{"raw_affiliation_string":"PLA Strategy Support Force Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002558588","display_name":"Y.M. Chen","orcid":"https://orcid.org/0000-0003-2323-7820"},"institutions":[{"id":"https://openalex.org/I169689159","display_name":"PLA Information Engineering University","ror":"https://ror.org/00mm1qk40","country_code":"CN","type":"education","lineage":["https://openalex.org/I169689159"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yue Chen","raw_affiliation_strings":["PLA Strategy Support Force Information Engineering University, China"],"raw_orcid":"https://orcid.org/0000-0003-2323-7820","affiliations":[{"raw_affiliation_string":"PLA Strategy Support Force Information Engineering University, China","institution_ids":["https://openalex.org/I169689159"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039583115","display_name":"Huanyao Dai","orcid":"https://orcid.org/0009-0002-5797-6584"},"institutions":[{"id":"https://openalex.org/I4210107698","display_name":"PLA 306 Hospital","ror":"https://ror.org/01k0q5v34","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210107698"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huanyao Dai","raw_affiliation_strings":["The PLA Unit 63892, China"],"raw_orcid":"https://orcid.org/0009-0002-5797-6584","affiliations":[{"raw_affiliation_string":"The PLA Unit 63892, China","institution_ids":["https://openalex.org/I4210107698"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.07863938,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"206","last_page":"210"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9811000227928162,"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/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.9670000076293945,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8479421138763428},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7719444036483765},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.726904034614563},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.642716109752655},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5709877014160156},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4813724160194397},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.41326695680618286},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3255031704902649}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8479421138763428},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7719444036483765},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.726904034614563},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.642716109752655},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5709877014160156},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4813724160194397},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.41326695680618286},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3255031704902649},{"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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3665348.3665384","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3665348.3665384","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 International Conference on Generative Artificial Intelligence and Information Security","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":7,"referenced_works":["https://openalex.org/W2560674852","https://openalex.org/W2902543210","https://openalex.org/W3135144496","https://openalex.org/W3209714106","https://openalex.org/W4285605356","https://openalex.org/W4386057723","https://openalex.org/W4401450512"],"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":{"Although":[0],"various":[1,86],"methods":[2,29],"have":[3],"been":[4],"proposed":[5],"to":[6,48,64],"improve":[7],"the":[8,38,50,83,91,101,115,127],"robustness":[9,67,84,121],"of":[10,35,44,71,85,112,117,129],"deep":[11,132],"neural":[12],"network":[13],"models,":[14],"evaluating":[15],"these":[16,57],"models":[17,89,105],"in":[18],"a":[19,25,61],"fair":[20],"and":[21,46,77,80,93,123],"reasonable":[22],"manner":[23],"remains":[24],"challenge.":[26],"Existing":[27],"evaluation":[28],"often":[30],"consider":[31],"only":[32],"limited":[33],"types":[34,43,70,111],"attacks,":[36,45,79,113],"ignoring":[37],"generalization":[39],"performance":[40],"against":[41],"new":[42,110],"fail":[47],"cover":[49],"most":[51,102],"advanced":[52,87,103],"defense":[53,104],"models.":[54,134],"To":[55],"address":[56],"issues,":[58],"we":[59],"propose":[60],"unified":[62],"framework":[63,74],"evaluate":[65],"model":[66],"under":[68,108],"different":[69],"attacks.":[72],"This":[73],"integrates":[75],"non-Lp":[76],"Lp":[78],"comprehensively":[81],"evaluates":[82],"robust":[88,131],"on":[90],"CIFAR-10":[92],"ImageNet":[94],"subsets.":[95],"Experimental":[96],"results":[97],"show":[98],"that":[99],"even":[100],"exhibit":[106],"vulnerabilities":[107],"certain":[109],"highlighting":[114],"importance":[116],"developing":[118],"more":[119],"comprehensive":[120],"benchmarks":[122],"providing":[124],"guidance":[125],"for":[126],"design":[128],"future":[130],"learning":[133]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
