{"id":"https://openalex.org/W4413271517","doi":"https://doi.org/10.1007/s00371-025-03997-4","title":"Enhancing Adversarial Transferability through Dual-Domain Gradient Flatness Optimization","display_name":"Enhancing Adversarial Transferability through Dual-Domain Gradient Flatness Optimization","publication_year":2025,"publication_date":"2025-07-17","ids":{"openalex":"https://openalex.org/W4413271517","doi":"https://doi.org/10.1007/s00371-025-03997-4"},"language":"en","primary_location":{"id":"doi:10.1007/s00371-025-03997-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00371-025-03997-4","pdf_url":null,"source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-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/A5009099198","display_name":"Kaibo Zhang","orcid":"https://orcid.org/0000-0002-0732-9218"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kaibo Zhang","raw_affiliation_strings":["College of Information Science and Engineering, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065669986","display_name":"Tong Jia","orcid":"https://orcid.org/0000-0003-1424-798X"},"institutions":[{"id":"https://openalex.org/I9224756","display_name":"Northeastern University","ror":"https://ror.org/03awzbc87","country_code":"CN","type":"education","lineage":["https://openalex.org/I9224756"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Tong Jia","raw_affiliation_strings":["College of Information Science and Engineering, Key Laboratory of Data Analysis and Optimization for Smart Industry (Northeastern University), Ministry of Education, Northeastern University, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Science and Engineering, Key Laboratory of Data Analysis and Optimization for Smart Industry (Northeastern University), Ministry of Education, Northeastern University, Shenyang, China","institution_ids":["https://openalex.org/I9224756"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100625505","display_name":"Wei\u2010Hua Chen","orcid":"https://orcid.org/0000-0001-5160-4398"},"institutions":[{"id":"https://openalex.org/I2802249531","display_name":"Shenyang Conservatory of Music","ror":"https://ror.org/04z3jpx43","country_code":"CN","type":"education","lineage":["https://openalex.org/I2802249531"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Chen","raw_affiliation_strings":["Director of BMW Tiexi Plant, Shenyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Director of BMW Tiexi Plant, Shenyang, China","institution_ids":["https://openalex.org/I2802249531"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5065669986"],"corresponding_institution_ids":["https://openalex.org/I9224756"],"apc_list":{"value":2990,"currency":"USD","value_usd":2990},"apc_paid":null,"fwci":1.2644,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85121301,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"41","issue":"12","first_page":"9749","last_page":"9763"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9991000294685364,"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":0.9991000294685364,"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/T12153","display_name":"Advanced Optical Sensing Technologies","score":0.9854000210762024,"subfield":{"id":"https://openalex.org/subfields/3105","display_name":"Instrumentation"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9736999869346619,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.8078689575195312},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6961203217506409},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.6730798482894897},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5877046585083008},{"id":"https://openalex.org/keywords/dual","display_name":"Dual (grammatical number)","score":0.46977561712265015},{"id":"https://openalex.org/keywords/flatness","display_name":"Flatness (cosmology)","score":0.4226037859916687},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4010040760040283},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3685750365257263},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.36468297243118286},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.36239850521087646},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.18822604417800903},{"id":"https://openalex.org/keywords/art","display_name":"Art","score":0.08102428913116455}],"concepts":[{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.8078689575195312},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6961203217506409},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.6730798482894897},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5877046585083008},{"id":"https://openalex.org/C2780980858","wikidata":"https://www.wikidata.org/wiki/Q110022","display_name":"Dual (grammatical number)","level":2,"score":0.46977561712265015},{"id":"https://openalex.org/C2778530986","wikidata":"https://www.wikidata.org/wiki/Q5457948","display_name":"Flatness (cosmology)","level":3,"score":0.4226037859916687},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4010040760040283},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3685750365257263},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.36468297243118286},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.36239850521087646},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.18822604417800903},{"id":"https://openalex.org/C142362112","wikidata":"https://www.wikidata.org/wiki/Q735","display_name":"Art","level":0,"score":0.08102428913116455},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C124952713","wikidata":"https://www.wikidata.org/wiki/Q8242","display_name":"Literature","level":1,"score":0.0},{"id":"https://openalex.org/C26405456","wikidata":"https://www.wikidata.org/wiki/Q338","display_name":"Cosmology","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":1,"locations":[{"id":"doi:10.1007/s00371-025-03997-4","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s00371-025-03997-4","pdf_url":null,"source":{"id":"https://openalex.org/S73060445","display_name":"The Visual Computer","issn_l":"0178-2789","issn":["0178-2789","1432-2315"],"is_oa":false,"is_in_doaj":false,"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":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"The Visual Computer","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2311391187","display_name":null,"funder_award_id":"B16009","funder_id":"https://openalex.org/F4320327912","funder_display_name":"Higher Education Discipline Innovation Project"},{"id":"https://openalex.org/G4966548598","display_name":null,"funder_award_id":"U22A2063","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"},{"id":"https://openalex.org/F4320327912","display_name":"Higher Education Discipline Innovation Project","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":43,"referenced_works":["https://openalex.org/W1999360130","https://openalex.org/W2031614119","https://openalex.org/W2090016606","https://openalex.org/W2108598243","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2603766943","https://openalex.org/W2774018344","https://openalex.org/W2774644650","https://openalex.org/W2798801120","https://openalex.org/W2951884431","https://openalex.org/W2962847335","https://openalex.org/W2963384482","https://openalex.org/W2963542245","https://openalex.org/W2963771536","https://openalex.org/W2963857521","https://openalex.org/W2964350391","https://openalex.org/W2969542116","https://openalex.org/W2969985801","https://openalex.org/W2991496458","https://openalex.org/W3028519758","https://openalex.org/W3034175346","https://openalex.org/W3034190247","https://openalex.org/W3034892461","https://openalex.org/W3107235539","https://openalex.org/W3108341030","https://openalex.org/W3186991201","https://openalex.org/W3202281277","https://openalex.org/W4295249789","https://openalex.org/W4312648479","https://openalex.org/W4312716239","https://openalex.org/W4312790346","https://openalex.org/W4312847199","https://openalex.org/W4322628180","https://openalex.org/W4380136652","https://openalex.org/W4387848952","https://openalex.org/W4390872679","https://openalex.org/W4393159200","https://openalex.org/W4394807356","https://openalex.org/W4399355354","https://openalex.org/W4401829333","https://openalex.org/W4407278828","https://openalex.org/W6608287133"],"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/W4409346678","https://openalex.org/W4392340763","https://openalex.org/W4283325551"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1}],"updated_date":"2026-07-23T08:03:31.855105","created_date":"2025-10-10T00:00:00"}