{"id":"https://openalex.org/W4414686500","doi":"https://doi.org/10.1109/iccv51701.2025.00466","title":"On the Robustness Tradeoff in Fine-Tuning","display_name":"On the Robustness Tradeoff in Fine-Tuning","publication_year":2025,"publication_date":"2025-10-19","ids":{"openalex":"https://openalex.org/W4414686500","doi":"https://doi.org/10.1109/iccv51701.2025.00466"},"language":"en","primary_location":{"id":"doi:10.1109/iccv51701.2025.00466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00466","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":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2503.14836","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5107570217","display_name":"Kunyang Li","orcid":"https://orcid.org/0009-0007-4264-855X"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Kunyang Li","raw_affiliation_strings":["University of Wisconsin-Madison"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110190353","display_name":"Jean-Charles Noirot Ferrand","orcid":"https://orcid.org/0009-0009-9650-4011"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jean-Charles Noirot Ferrand","raw_affiliation_strings":["University of Wisconsin-Madison"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056794879","display_name":"Ryan Sheatsley","orcid":"https://orcid.org/0000-0001-8447-602X"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ryan Sheatsley","raw_affiliation_strings":["University of Wisconsin-Madison"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088915686","display_name":"Blaine Hoak","orcid":"https://orcid.org/0000-0003-2960-0686"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Blaine Hoak","raw_affiliation_strings":["University of Wisconsin-Madison"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5007771274","display_name":"Yohan Beugin","orcid":"https://orcid.org/0000-0003-0991-7926"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yohan Beugin","raw_affiliation_strings":["University of Wisconsin-Madison"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5044742451","display_name":"Eric Pauley","orcid":null},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Eric Pauley","raw_affiliation_strings":["University of Wisconsin-Madison"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5055368149","display_name":"Patrick McDaniel","orcid":"https://orcid.org/0000-0003-2091-7484"},"institutions":[{"id":"https://openalex.org/I135310074","display_name":"University of Wisconsin\u2013Madison","ror":"https://ror.org/01y2jtd41","country_code":"US","type":"education","lineage":["https://openalex.org/I135310074"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Patrick McDaniel","raw_affiliation_strings":["University of Wisconsin-Madison"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Wisconsin-Madison","institution_ids":["https://openalex.org/I135310074"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5107570217"],"corresponding_institution_ids":["https://openalex.org/I135310074"],"apc_list":null,"apc_paid":null,"fwci":4.1336,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.94242765,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":98,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"4898","last_page":"4907"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.5752999782562256,"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"}},"topics":[{"id":"https://openalex.org/T11032","display_name":"VLSI and Analog Circuit Testing","score":0.5752999782562256,"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/T11522","display_name":"VLSI and FPGA Design Techniques","score":0.5117999911308289,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10142","display_name":"Formal Methods in Verification","score":0.4918000102043152,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"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/robustness","display_name":"Robustness (evolution)","score":0.9104999899864197},{"id":"https://openalex.org/keywords/pareto-principle","display_name":"Pareto principle","score":0.6100000143051147},{"id":"https://openalex.org/keywords/pareto-optimal","display_name":"Pareto optimal","score":0.46939998865127563},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.3682999908924103},{"id":"https://openalex.org/keywords/model-validation","display_name":"Model validation","score":0.30550000071525574}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.9104999899864197},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6660000085830688},{"id":"https://openalex.org/C137635306","wikidata":"https://www.wikidata.org/wiki/Q182667","display_name":"Pareto principle","level":2,"score":0.6100000143051147},{"id":"https://openalex.org/C2986314615","wikidata":"https://www.wikidata.org/wiki/Q36829","display_name":"Pareto optimal","level":3,"score":0.46939998865127563},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.3682999908924103},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.35109999775886536},{"id":"https://openalex.org/C3019813237","wikidata":"https://www.wikidata.org/wiki/Q65089264","display_name":"Model validation","level":2,"score":0.30550000071525574},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.2872999906539917},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.27709999680519104},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.2727000117301941},{"id":"https://openalex.org/C2983643213","wikidata":"https://www.wikidata.org/wiki/Q6030225","display_name":"Influence function","level":3,"score":0.2721000015735626}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/iccv51701.2025.00466","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv51701.2025.00466","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:arXiv.org:2503.14836","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.14836","pdf_url":"https://arxiv.org/pdf/2503.14836","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},{"id":"doi:10.48550/arxiv.2503.14836","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2503.14836","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2503.14836","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2503.14836","pdf_url":"https://arxiv.org/pdf/2503.14836","source":{"id":"https://openalex.org/S4393918464","display_name":"ArXiv.org","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"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":"text"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2000969370","display_name":null,"funder_award_id":"W911NF-21-1-0317","funder_id":"https://openalex.org/F4320333591","funder_display_name":"Multidisciplinary University Research Initiative"},{"id":"https://openalex.org/G2393809977","display_name":null,"funder_award_id":"CNS-2343611","funder_id":"https://openalex.org/F4320306076","funder_display_name":"National Science Foundation"}],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320333591","display_name":"Multidisciplinary University Research Initiative","ror":null},{"id":"https://openalex.org/F4320338281","display_name":"Army Research Office","ror":"https://ror.org/05epdh915"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Fine-tuning":[0],"has":[1],"become":[2],"the":[3,14,28,35,76,80,83,115,126,139],"standard":[4],"practice":[5],"for":[6,69,141],"adapting":[7],"pre-trained":[8],"models":[9,41],"to":[10,144],"downstream":[11],"tasks.":[12],"However,":[13],"impact":[15],"on":[16,86,106,117],"model":[17],"robustness":[18,36,58,127],"is":[19],"not":[20],"well":[21],"understood.":[22],"In":[23,90],"this":[24],"work,":[25],"we":[26,123],"characterize":[27],"robustness-accuracy":[29],"trade-off":[30,55],"in":[31],"fine-tuning.":[32],"We":[33,51],"evaluate":[34],"and":[37,46,59,88,112,119],"accuracy":[38],"of":[39,128],"fine-tuned":[40],"over":[42,73],"6":[43],"benchmark":[44],"datasets":[45],"7":[47],"different":[48],"fine-tuning":[49,92,129,143],"strategies.":[50],"observe":[52,124],"a":[53,102],"consistent":[54],"between":[56],"adversarial":[57],"accuracy.":[60,135],"Peripheral":[61],"updates":[62],"such":[63,95],"as":[64,96],"BitFit":[65],"are":[66],"more":[67,107],"effective":[68],"simple":[70],"tasks":[71,109],"--":[72,110],"75%":[74],"above":[75,114],"average":[77,116],"measured":[78],"by":[79],"area":[81],"under":[82],"Pareto":[84,104],"frontiers":[85],"CIFAR-10":[87],"CIFAR-100.":[89],"contrast,":[91],"information-heavy":[93],"layers,":[94],"attention":[97],"layers":[98],"via":[99],"Compacter,":[100],"achieves":[101],"better":[103],"frontier":[105],"complex":[108],"57.5%":[111],"34.6%":[113],"Caltech-256":[118],"CUB-200,":[120],"respectively.":[121],"Lastly,":[122],"that":[125],"against":[130],"out-of-distribution":[131],"data":[132],"closely":[133],"tracks":[134],"These":[136],"insights":[137],"emphasize":[138],"need":[140],"robustness-aware":[142],"ensure":[145],"reliable":[146],"real-world":[147],"deployments.":[148]},"counts_by_year":[{"year":2026,"cited_by_count":2}],"updated_date":"2026-05-06T06:03:25.996018","created_date":"2025-10-10T00:00:00"}
