{"id":"https://openalex.org/W4399918692","doi":"https://doi.org/10.1007/s40747-024-01522-z","title":"DIB-UAP: enhancing the transferability of universal adversarial perturbation via deep information bottleneck","display_name":"DIB-UAP: enhancing the transferability of universal adversarial perturbation via deep information bottleneck","publication_year":2024,"publication_date":"2024-06-22","ids":{"openalex":"https://openalex.org/W4399918692","doi":"https://doi.org/10.1007/s40747-024-01522-z"},"language":"en","primary_location":{"id":"doi:10.1007/s40747-024-01522-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01522-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01522-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01522-z.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5047572382","display_name":"Yang Wang","orcid":"https://orcid.org/0000-0002-4514-2534"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yang Wang","raw_affiliation_strings":["Army Engineering University of PLA, Haifu Alley, Nanjing, 210007, Jiangsu, China"],"raw_orcid":"https://orcid.org/0000-0002-4514-2534","affiliations":[{"raw_affiliation_string":"Army Engineering University of PLA, Haifu Alley, Nanjing, 210007, Jiangsu, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063011741","display_name":"Yunfei Zheng","orcid":"https://orcid.org/0000-0002-5075-9176"},"institutions":[{"id":"https://openalex.org/I4210115169","display_name":"Second Artillery General Hospital of Chinese People's Liberation Army","ror":"https://ror.org/0264qnp36","country_code":"CN","type":"healthcare","lineage":["https://openalex.org/I4210115169"]},{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunfei Zheng","raw_affiliation_strings":["Army Engineering University of PLA, Haifu Alley, Nanjing, 210007, Jiangsu, China","PLA Army Academy of Artillery and Air Defense, Hefei, 230031, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University of PLA, Haifu Alley, Nanjing, 210007, Jiangsu, China","institution_ids":["https://openalex.org/I4210163363"]},{"raw_affiliation_string":"PLA Army Academy of Artillery and Air Defense, Hefei, 230031, China","institution_ids":["https://openalex.org/I4210115169"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004245319","display_name":"Lei Chen","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Chen","raw_affiliation_strings":["Army Engineering University of PLA, Haifu Alley, Nanjing, 210007, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University of PLA, Haifu Alley, Nanjing, 210007, Jiangsu, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100354830","display_name":"Zhen Yang","orcid":"https://orcid.org/0009-0002-5594-4546"},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Yang","raw_affiliation_strings":["Army Engineering University of PLA, Haifu Alley, Nanjing, 210007, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University of PLA, Haifu Alley, Nanjing, 210007, Jiangsu, China","institution_ids":["https://openalex.org/I4210163363"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018783499","display_name":"Tieyong Cao","orcid":null},"institutions":[{"id":"https://openalex.org/I4210163363","display_name":"PLA Army Engineering University","ror":"https://ror.org/05mgp8x93","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210163363"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tieyong Cao","raw_affiliation_strings":["Army Engineering University of PLA, Haifu Alley, Nanjing, 210007, Jiangsu, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Army Engineering University of PLA, Haifu Alley, Nanjing, 210007, Jiangsu, China","institution_ids":["https://openalex.org/I4210163363"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5047572382"],"corresponding_institution_ids":["https://openalex.org/I4210163363"],"apc_list":{"value":1320,"currency":"GBP","value_usd":1619},"apc_paid":{"value":1320,"currency":"GBP","value_usd":1619},"fwci":0.9934,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.7928852,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":99},"biblio":{"volume":"10","issue":"5","first_page":"6825","last_page":"6837"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9932000041007996,"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9829000234603882,"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/transferability","display_name":"Transferability","score":0.9231364727020264},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.8257965445518494},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7088602781295776},{"id":"https://openalex.org/keywords/computational-intelligence","display_name":"Computational intelligence","score":0.588187038898468},{"id":"https://openalex.org/keywords/information-bottleneck-method","display_name":"Information bottleneck method","score":0.4730895161628723},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4463801681995392},{"id":"https://openalex.org/keywords/perturbation","display_name":"Perturbation (astronomy)","score":0.42823201417922974},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.34798097610473633},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18993571400642395},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.18196824193000793},{"id":"https://openalex.org/keywords/mutual-information","display_name":"Mutual information","score":0.09911096096038818},{"id":"https://openalex.org/keywords/embedded-system","display_name":"Embedded system","score":0.0632304847240448}],"concepts":[{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.9231364727020264},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.8257965445518494},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7088602781295776},{"id":"https://openalex.org/C139502532","wikidata":"https://www.wikidata.org/wiki/Q1122090","display_name":"Computational intelligence","level":2,"score":0.588187038898468},{"id":"https://openalex.org/C60008888","wikidata":"https://www.wikidata.org/wiki/Q6031013","display_name":"Information bottleneck method","level":3,"score":0.4730895161628723},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4463801681995392},{"id":"https://openalex.org/C177918212","wikidata":"https://www.wikidata.org/wiki/Q803623","display_name":"Perturbation (astronomy)","level":2,"score":0.42823201417922974},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.34798097610473633},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18993571400642395},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.18196824193000793},{"id":"https://openalex.org/C152139883","wikidata":"https://www.wikidata.org/wiki/Q252973","display_name":"Mutual information","level":2,"score":0.09911096096038818},{"id":"https://openalex.org/C149635348","wikidata":"https://www.wikidata.org/wiki/Q193040","display_name":"Embedded system","level":1,"score":0.0632304847240448},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/s40747-024-01522-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01522-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01522-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:372584eec4da4ccdafc23686cbfd546c","is_oa":true,"landing_page_url":"https://doaj.org/article/372584eec4da4ccdafc23686cbfd546c","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Complex & Intelligent Systems, Vol 10, Iss 5, Pp 6825-6837 (2024)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1007/s40747-024-01522-z","is_oa":true,"landing_page_url":"https://doi.org/10.1007/s40747-024-01522-z","pdf_url":"https://link.springer.com/content/pdf/10.1007/s40747-024-01522-z.pdf","source":{"id":"https://openalex.org/S3035462843","display_name":"Complex & Intelligent Systems","issn_l":"2198-6053","issn":["2198-6053","2199-4536"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Complex & Intelligent Systems","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4514102772","display_name":null,"funder_award_id":"62071484","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6367032006","display_name":null,"funder_award_id":"61801512","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4399918692.pdf"},"referenced_works_count":42,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W1536680647","https://openalex.org/W1995875735","https://openalex.org/W2193145675","https://openalex.org/W2194775991","https://openalex.org/W2543927648","https://openalex.org/W2565639579","https://openalex.org/W2570343428","https://openalex.org/W2604505099","https://openalex.org/W2768489488","https://openalex.org/W2806070179","https://openalex.org/W2962721361","https://openalex.org/W2962847335","https://openalex.org/W2963037989","https://openalex.org/W2963351448","https://openalex.org/W2964171870","https://openalex.org/W2964241181","https://openalex.org/W2965198951","https://openalex.org/W2984699060","https://openalex.org/W2993182889","https://openalex.org/W3034176567","https://openalex.org/W3035232208","https://openalex.org/W3047032303","https://openalex.org/W3106250896","https://openalex.org/W3120052154","https://openalex.org/W3128955292","https://openalex.org/W3186991201","https://openalex.org/W3190041646","https://openalex.org/W3191585269","https://openalex.org/W4206446620","https://openalex.org/W4283015658","https://openalex.org/W4312790346","https://openalex.org/W4382985504","https://openalex.org/W4385482655","https://openalex.org/W4386066565","https://openalex.org/W4390285099","https://openalex.org/W4390871960","https://openalex.org/W6600487154","https://openalex.org/W6602253127","https://openalex.org/W6604472716","https://openalex.org/W6605770090","https://openalex.org/W6836371346"],"related_works":["https://openalex.org/W4288055406","https://openalex.org/W4200630034","https://openalex.org/W3137894200","https://openalex.org/W3092178728","https://openalex.org/W4226402597","https://openalex.org/W3132910851","https://openalex.org/W4377864639","https://openalex.org/W4392340763","https://openalex.org/W4283325551","https://openalex.org/W2622284819"],"abstract_inverted_index":{"Abstract":[0],"Significant":[1],"structural":[2],"differences":[3],"in":[4,42],"DNN-based":[5],"object":[6,153],"detectors":[7,133],"hinders":[8],"the":[9,21,39,59,69,110,136],"transferability":[10,34,138],"of":[11,113,139,145],"adversarial":[12,64],"attacks.":[13],"Studies":[14],"show":[15],"that":[16,46],"intermediate":[17,51,78,85],"features":[18,30,45,79,86],"extracted":[19],"by":[20],"detector":[22],"contain":[23],"more":[24],"model-independent":[25],"information,":[26],"and":[27,80,87,117],"disrupting":[28,88],"these":[29],"can":[31],"enhance":[32],"attack":[33,95,111,137],"across":[35,129],"different":[36],"detectors.":[37],"However,":[38],"challenge":[40],"lies":[41],"selecting":[43],"crucial":[44,84],"impact":[47],"detection":[48,154],"from":[49],"redundant":[50],"features.":[52],"To":[53],"address":[54],"this":[55],"issue,":[56],"we":[57,98],"introduce":[58],"Deep":[60],"information":[61,71],"bottleneck":[62,72],"universal":[63],"perturbation":[65],"(DIB-UAP).":[66],"DIB-UAP":[67,146],"utilizes":[68],"deep":[70],"to":[73,90],"establish":[74],"a":[75,100,151],"link":[76],"between":[77],"model":[81],"output,":[82],"extracting":[83],"them":[89],"generate":[91],"UAP":[92,114],"with":[93,125],"strong":[94],"transferability.":[96],"Additionally,":[97],"propose":[99],"data":[101],"augmentation":[102],"method,":[103],"Scale":[104],"&":[105],"Tile,":[106],"which":[107],"effectively":[108],"enhances":[109],"performance":[112],"on":[115,121,150],"medium":[116],"large-scale":[118],"objects.":[119],"Testing":[120],"two":[122],"benchmark":[123],"datasets":[124],"eight":[126],"comparative":[127],"methods":[128],"four":[130],"black-box":[131],"mainstream":[132],"has":[134,147],"confirmed":[135],"DIB-UAP.":[140],"Furthermore,":[141],"practical":[142],"utility":[143],"validation":[144],"been":[148],"conducted":[149],"commercial":[152],"platform.":[155]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}