{"id":"https://openalex.org/W4408356241","doi":"https://doi.org/10.1109/icassp49660.2025.10889335","title":"Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size","display_name":"Boosting the Transferability of Adversarial Examples via Local Mixup and Adaptive Step Size","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408356241","doi":"https://doi.org/10.1109/icassp49660.2025.10889335"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5070375205","display_name":"Junlin Liu","orcid":"https://orcid.org/0000-0002-4981-1010"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junlin Liu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,National Engineering Research Center for Mobile Network Technologies,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,National Engineering Research Center for Mobile Network Technologies,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042082415","display_name":"Chenyu Zhang","orcid":"https://orcid.org/0000-0002-4300-3135"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenyu Zhang","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,National Engineering Research Center for Mobile Network Technologies,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,National Engineering Research Center for Mobile Network Technologies,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5090327058","display_name":"Xinchen Lyu","orcid":"https://orcid.org/0000-0003-0404-4310"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xinchen Lyu","raw_affiliation_strings":["Beijing University of Posts and Telecommunications,National Engineering Research Center for Mobile Network Technologies,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing University of Posts and Telecommunications,National Engineering Research Center for Mobile Network Technologies,Beijing,China","institution_ids":["https://openalex.org/I139759216"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139759216"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9768000245094299,"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":0.9768000245094299,"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/adversarial-system","display_name":"Adversarial system","score":0.9324275851249695},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.9064491391181946},{"id":"https://openalex.org/keywords/boosting","display_name":"Boosting (machine learning)","score":0.807746171951294},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6969032883644104},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4404871165752411},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3377026915550232}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9324275851249695},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.9064491391181946},{"id":"https://openalex.org/C46686674","wikidata":"https://www.wikidata.org/wiki/Q466303","display_name":"Boosting (machine learning)","level":2,"score":0.807746171951294},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6969032883644104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4404871165752411},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3377026915550232},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889335","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889335","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.41999998688697815}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W153185079","https://openalex.org/W2117539524","https://openalex.org/W2183341477","https://openalex.org/W2302255633","https://openalex.org/W2549139847","https://openalex.org/W2583993537","https://openalex.org/W2607219512","https://openalex.org/W2774018344","https://openalex.org/W2774644650","https://openalex.org/W2795727551","https://openalex.org/W2798302089","https://openalex.org/W2962847335","https://openalex.org/W2962898354","https://openalex.org/W2963384482","https://openalex.org/W2963857521","https://openalex.org/W2969542116","https://openalex.org/W2971184796","https://openalex.org/W3034190247","https://openalex.org/W3035569111","https://openalex.org/W3106050153","https://openalex.org/W3171288285","https://openalex.org/W3177184533","https://openalex.org/W4225859735","https://openalex.org/W4293363567","https://openalex.org/W4312342993","https://openalex.org/W4312648479","https://openalex.org/W4313141826","https://openalex.org/W4390871946","https://openalex.org/W4390872540","https://openalex.org/W6637162671","https://openalex.org/W6637373629","https://openalex.org/W6746402973","https://openalex.org/W6768366551","https://openalex.org/W6787052717","https://openalex.org/W6845516588"],"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/W4403006689"],"abstract_inverted_index":{"Adversarial":[0],"examples":[1,21],"are":[2],"one":[3],"critical":[4],"security":[5],"threat":[6],"to":[7,44,89,110,144],"various":[8],"visual":[9],"applications,":[10],"where":[11],"injected":[12],"human-imperceptible":[13],"perturbations":[14],"confuse":[15],"the":[16,23,56,99,108,112,116],"output.":[17],"Generating":[18],"transferable":[19],"adversarial":[20,72,96,104],"in":[22,30,65],"black-box":[24,71],"setting":[25],"is":[26,148],"crucial":[27],"but":[28,39],"challenging":[29],"practice.":[31],"Existing":[32],"input-diversity-based":[33],"methods":[34],"adopt":[35],"different":[36,59,120],"image":[37,60],"transformations,":[38],"may":[40],"be":[41,123],"inefficient":[42],"due":[43],"insufficient":[45],"input":[46,79,100],"diversity":[47,80],"and":[48,81],"an":[49],"identical":[50],"perturbation":[51,109],"step":[52,83,117],"size.":[53],"Motivated":[54],"by":[55,75,126],"fact":[57],"that":[58,136],"regions":[61,121],"have":[62],"distinctive":[63],"weights":[64],"classification,":[66],"this":[67],"paper":[68],"proposes":[69],"a":[70,92,128],"generative":[73],"framework":[74,138],"jointly":[76],"designing":[77],"enhanced":[78],"adaptive":[82],"sizes.":[84],"We":[85],"design":[86],"local":[87],"mixup":[88],"randomly":[90],"mix":[91],"group":[93],"of":[94,119],"transformed":[95],"images,":[97],"strengthening":[98],"diversity.":[101],"For":[102],"precise":[103],"generation,":[105],"we":[106],"project":[107],"relax":[111],"boundary":[113],"constraint.":[114],"Moreover,":[115],"sizes":[118],"can":[122,139],"dynamically":[124],"adjusted":[125],"integrating":[127],"second-order":[129],"momentum.":[130],"Extensive":[131],"experiments":[132],"on":[133],"ImageNet":[134],"validate":[135],"our":[137],"achieve":[140],"superior":[141],"transferability":[142],"compared":[143],"state-of-the-art":[145],"baselines.":[146],"Code":[147],"available":[149],"at":[150],"https://github.com/ZeroWalker10/IDAA.":[151]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
