{"id":"https://openalex.org/W7160165309","doi":"https://doi.org/10.1109/iccv51701.2025.00354","title":"Enhancing Transferability of Targeted Adversarial Examples Via Inverse Target Gradient Competition and Spatial Distance Stretching","display_name":"Enhancing Transferability of Targeted Adversarial Examples Via Inverse Target Gradient Competition and Spatial Distance Stretching","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W7160165309","doi":"https://doi.org/10.1109/iccv51701.2025.00354"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.00354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-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/A5075707738","display_name":"Zhankai Li","orcid":"https://orcid.org/0009-0006-0499-768X"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhankai Li","raw_affiliation_strings":["Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135186578","display_name":"Weiping Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiping Wang","raw_affiliation_strings":["Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5135106156","display_name":"Jie Li","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Li","raw_affiliation_strings":["Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005250767","display_name":"Shigeng Zhang","orcid":"https://orcid.org/0000-0001-5351-7239"},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shigeng Zhang","raw_affiliation_strings":["Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067279174","display_name":"Y Hu","orcid":null},"institutions":[{"id":"https://openalex.org/I139660479","display_name":"Central South University","ror":"https://ror.org/00f1zfq44","country_code":"CN","type":"education","lineage":["https://openalex.org/I139660479"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yunan Hu","raw_affiliation_strings":["Central South University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Central South University","institution_ids":["https://openalex.org/I139660479"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5135124725","display_name":"Song Guo","orcid":null},"institutions":[{"id":"https://openalex.org/I200769079","display_name":"Hong Kong University of Science and Technology","ror":"https://ror.org/00q4vv597","country_code":"HK","type":"education","lineage":["https://openalex.org/I200769079"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Song Guo","raw_affiliation_strings":["The Hong Kong University of Science and Technology"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"The Hong Kong University of Science and Technology","institution_ids":["https://openalex.org/I200769079"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.4557,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.89829182,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"3716","last_page":"3725"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9541000127792358,"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":0.9541000127792358,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.005799999926239252,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.005100000184029341,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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":0.65420001745224},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5963000059127808},{"id":"https://openalex.org/keywords/inverse","display_name":"Inverse","score":0.4819999933242798},{"id":"https://openalex.org/keywords/computation","display_name":"Computation","score":0.3416999876499176},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.33730000257492065},{"id":"https://openalex.org/keywords/inverse-problem","display_name":"Inverse problem","score":0.33090001344680786}],"concepts":[{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.65420001745224},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5963000059127808},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.522599995136261},{"id":"https://openalex.org/C207467116","wikidata":"https://www.wikidata.org/wiki/Q4385666","display_name":"Inverse","level":2,"score":0.4819999933242798},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.4661000072956085},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.41530001163482666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.36899998784065247},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.36010000109672546},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.3416999876499176},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.33730000257492065},{"id":"https://openalex.org/C135252773","wikidata":"https://www.wikidata.org/wiki/Q1567213","display_name":"Inverse problem","level":2,"score":0.33090001344680786},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.3206999897956848},{"id":"https://openalex.org/C91306197","wikidata":"https://www.wikidata.org/wiki/Q45767","display_name":"Competition (biology)","level":2,"score":0.31049999594688416},{"id":"https://openalex.org/C2780009758","wikidata":"https://www.wikidata.org/wiki/Q6804172","display_name":"Measure (data warehouse)","level":2,"score":0.29789999127388},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2953999936580658},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.2743000090122223},{"id":"https://openalex.org/C147764199","wikidata":"https://www.wikidata.org/wiki/Q6865248","display_name":"Minification","level":2,"score":0.26600000262260437},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2621000111103058},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.25429999828338623}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv51701.2025.00354","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00354","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE/CVF International Conference on Computer Vision (ICCV)","raw_type":"proceedings-article"},{"id":"pmh:oai:repository.hkust.edu.hk:1783.1-171282","is_oa":false,"landing_page_url":"http://repository.hkust.edu.hk/ir/Record/1783.1-171282","pdf_url":null,"source":{"id":"https://openalex.org/S4306401796","display_name":"Rare & Special e-Zone (The Hong Kong University of Science and Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I200769079","host_organization_name":"Hong Kong University of Science and Technology","host_organization_lineage":["https://openalex.org/I200769079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Conference paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2918744067","display_name":null,"funder_award_id":"62272486,62172154,62372473,CRS_HKUST602/24","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4892326515","display_name":null,"funder_award_id":"2023JJ70016","funder_id":"https://openalex.org/F4320322843","funder_display_name":"Natural Science Foundation of\u00a0Hunan Province"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322843","display_name":"Natural Science Foundation of\u00a0Hunan Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W2117539524","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2774644650","https://openalex.org/W2962847335","https://openalex.org/W2963384482","https://openalex.org/W2963446712","https://openalex.org/W2963542245","https://openalex.org/W2969542116","https://openalex.org/W2982083293","https://openalex.org/W3034429256","https://openalex.org/W3127807678","https://openalex.org/W3137278571","https://openalex.org/W3186991201","https://openalex.org/W4214636423","https://openalex.org/W4226378932","https://openalex.org/W4285600276","https://openalex.org/W4312648479","https://openalex.org/W4380032277","https://openalex.org/W4386065469","https://openalex.org/W4390754619","https://openalex.org/W4390871946","https://openalex.org/W4392903405","https://openalex.org/W4395448418","https://openalex.org/W4402716179","https://openalex.org/W4402754002","https://openalex.org/W7133194505"],"related_works":[],"abstract_inverted_index":{"In":[0],"the":[1,6,17,66,89,121,148],"field":[2],"of":[3,8,19,68,123],"AI":[4],"security,":[5],"vulnerability":[7],"deep":[9],"neural":[10],"networks":[11],"has":[12],"garnered":[13],"widespread":[14],"attention.":[15],"Specifically,":[16,92],"sensitivity":[18],"DNNs":[20],"to":[21,27,55,98,119,142],"adversarial":[22,113,125,163],"examples":[23],"(AEs)":[24],"can":[25,36],"lead":[26],"severe":[28],"consequences,":[29],"even":[30],"small":[31],"perturbations":[32],"in":[33,38,58,88,130,147],"input":[34],"data":[35],"result":[37],"incorrect":[39],"predictions.":[40],"AEs":[41,141],"demonstrate":[42],"transferability":[43,67,174],"across":[44],"models,":[45],"however,":[46],"targeted":[47,69,103,124,131],"attack":[48],"success":[49],"rates":[50],"(TASRs)":[51],"remain":[52],"low":[53],"due":[54],"significant":[56,173],"differences":[57],"feature":[59],"dimensions":[60],"and":[61,83,102,183,188],"decision":[62],"boundaries.":[63],"To":[64],"enhance":[65],"AEs,":[70,104],"we":[71,93],"propose":[72],"a":[73,95,106,134],"novel":[74],"approach":[75],"by":[76,181],"introducing":[77,105],"Inverse":[78],"Target":[79],"Gradient":[80],"Competition":[81],"(ITC)":[82],"Spatial":[84],"Distance":[85],"Stretching":[86],"(SDS)":[87],"optimization":[90,122],"process.":[91],"utilize":[94],"twin-network-like":[96],"framework":[97],"generate":[99],"both":[100],"non-targeted":[101,112,158],"new":[107],"competition":[108],"mechanism":[109],"ITC":[110],"where":[111],"gradients":[114],"are":[115],"applied":[116],"each":[117],"epoch":[118],"hinder":[120],"perturbations,":[126],"thus":[127],"enhancing":[128],"robustness":[129],"attacks.":[132],"Additionally,":[133],"top-k":[135],"SDS":[136],"strategy":[137],"is":[138],"employed,":[139],"guiding":[140],"penetrate":[143],"target":[144],"class":[145],"regions":[146],"latent":[149],"multi-dimensional":[150],"space":[151],"while":[152,191],"globally":[153],"distancing":[154],"from":[155],"multiple":[156],"closest":[157],"regions,":[159],"ultimately":[160],"achieving":[161,193],"optimal":[162],"transferability.":[164],"Compared":[165],"with":[166,176],"state-of-the-art":[167],"competition-based":[168],"attacks,":[169],"our":[170],"method":[171],"demonstrates":[172],"advantages,":[175],"average":[177],"transferable":[178],"TASRs":[179],"improved":[180],"16.1%":[182],"21.4%":[184],"on":[185],"mainstream":[186],"CNNs":[187],"ViTs,":[189],"respectively,":[190],"also":[192],"an":[194],"unmatched":[195],"breaking-through":[196],"defense":[197],"capability.<br/><br/><br/>":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-02T09:51:11.867554","created_date":"2026-05-05T00:00:00"}