{"id":"https://openalex.org/W4416867488","doi":"https://doi.org/10.1109/mmsp64401.2025.11324099","title":"Exploring Cross-Stage Adversarial Transferability in Class-Incremental Continual Learning","display_name":"Exploring Cross-Stage Adversarial Transferability in Class-Incremental Continual Learning","publication_year":2025,"publication_date":"2025-09-21","ids":{"openalex":"https://openalex.org/W4416867488","doi":"https://doi.org/10.1109/mmsp64401.2025.11324099"},"language":"en","primary_location":{"id":"doi:10.1109/mmsp64401.2025.11324099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp64401.2025.11324099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},"type":"conference-paper","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2508.08920","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5103165015","display_name":"Jungwoo Kim","orcid":null},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jungwoo Kim","raw_affiliation_strings":["Yonsei University,School of Integrated Technology / BK21 Graduate Program in Intelligent Semiconductor Technology,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Integrated Technology / BK21 Graduate Program in Intelligent Semiconductor Technology,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100668161","display_name":"Jong\u2010Seok Lee","orcid":"https://orcid.org/0000-0001-5255-4425"},"institutions":[{"id":"https://openalex.org/I193775966","display_name":"Yonsei University","ror":"https://ror.org/01wjejq96","country_code":"KR","type":"education","lineage":["https://openalex.org/I193775966"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jong-Seok Lee","raw_affiliation_strings":["Yonsei University,School of Integrated Technology / BK21 Graduate Program in Intelligent Semiconductor Technology,Seoul,Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Yonsei University,School of Integrated Technology / BK21 Graduate Program in Intelligent Semiconductor Technology,Seoul,Republic of Korea","institution_ids":["https://openalex.org/I193775966"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I193775966"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"192","last_page":"197"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.46149998903274536,"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":0.46149998903274536,"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":0.4481000006198883,"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/T11652","display_name":"Imbalanced Data Classification Techniques","score":0.007000000216066837,"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":0.9280999898910522},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.6366999745368958},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.4828000068664551},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.48080000281333923},{"id":"https://openalex.org/keywords/forgetting","display_name":"Forgetting","score":0.4754999876022339},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.41659998893737793},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.33660000562667847}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9280999898910522},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.6366999745368958},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6273999810218811},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5004000067710876},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.4828000068664551},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.48080000281333923},{"id":"https://openalex.org/C7149132","wikidata":"https://www.wikidata.org/wiki/Q1377840","display_name":"Forgetting","level":2,"score":0.4754999876022339},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.41659998893737793},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4004000127315521},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.33660000562667847},{"id":"https://openalex.org/C167063184","wikidata":"https://www.wikidata.org/wiki/Q1400839","display_name":"Vulnerability assessment","level":3,"score":0.32350000739097595},{"id":"https://openalex.org/C2780589192","wikidata":"https://www.wikidata.org/wiki/Q7285140","display_name":"Raising (metalworking)","level":2,"score":0.320499986410141},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.31859999895095825},{"id":"https://openalex.org/C50335755","wikidata":"https://www.wikidata.org/wiki/Q483247","display_name":"Phenomenon","level":2,"score":0.31189998984336853},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.310699999332428},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2775999903678894},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.2646999955177307},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.2624000012874603}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/mmsp64401.2025.11324099","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mmsp64401.2025.11324099","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Workshop on Multimedia Signal Processing (MMSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2508.08920","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.08920","pdf_url":"https://arxiv.org/pdf/2508.08920","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:doi:10.48550/arxiv.2508.08920","is_oa":true,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4406922384","display_name":"Open MIND","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":"publisher-specific-oa","license_id":"https://openalex.org/licenses/publisher-specific-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Article"},{"id":"doi:10.48550/arxiv.2508.08920","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2508.08920","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":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2508.08920","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2508.08920","pdf_url":"https://arxiv.org/pdf/2508.08920","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":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W4312210066","https://openalex.org/W3177184533","https://openalex.org/W4375869092","https://openalex.org/W4402915972","https://openalex.org/W4402259975","https://openalex.org/W4409370027","https://openalex.org/W4392173735","https://openalex.org/W2964189064","https://openalex.org/W2560647685","https://openalex.org/W2473930607","https://openalex.org/W3097784654","https://openalex.org/W2007339694","https://openalex.org/W2194775991","https://openalex.org/W3107235539","https://openalex.org/W4319300575","https://openalex.org/W3035682985"],"related_works":[],"abstract_inverted_index":{"Class-Incremental":[0],"continual":[1,77],"learning":[2,78],"addresses":[3],"catastrophic":[4],"forgetting":[5],"by":[6],"enabling":[7],"classification":[8],"models":[9,26],"to":[10,48,65,83,117],"preserve":[11],"knowledge":[12],"of":[13,24,46],"previously":[14],"learned":[15],"classes":[16],"while":[17],"acquiring":[18],"new":[19],"ones.":[20],"However,":[21],"the":[22,25,43,57,67],"vulnerability":[23,47],"against":[27],"adversarial":[28,53,109],"attacks":[29],"during":[30],"this":[31,39,93],"process":[32],"has":[33],"not":[34,114],"been":[35],"investigated":[36],"sufficiently.":[37],"In":[38],"paper,":[40],"we":[41,105],"present":[42],"first":[44],"exploration":[45],"stage-transferred":[49,118],"attacks,":[50,85],"i.e.,":[51],"an":[52,60],"example":[54],"generated":[55],"using":[56],"model":[58,68,96],"in":[59,69],"earlier":[61],"stage":[62],"is":[63],"used":[64],"attack":[66],"a":[70,87],"later":[71],"stage.":[72],"Our":[73],"findings":[74],"reveal":[75],"that":[76,107],"methods":[79,112],"are":[80,113,121],"highly":[81],"susceptible":[82],"these":[84],"raising":[86],"serious":[88],"security":[89],"issue.":[90],"We":[91],"explain":[92],"phenomenon":[94],"through":[95],"similarity":[97],"between":[98],"stages":[99],"and":[100],"gradual":[101],"robustness":[102],"degradation.":[103],"Additionally,":[104],"find":[106],"existing":[108],"training-based":[110],"defense":[111],"sufficiently":[115],"effective":[116],"attacks.":[119],"Codes":[120],"available":[122],"at":[123],"https://github.com/mcml-official/CSAT.":[124]},"counts_by_year":[],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}