{"id":"https://openalex.org/W4283824745","doi":"https://doi.org/10.1007/978-3-031-16980-9_15","title":"Backdoor Attack is a\u00a0Devil in\u00a0Federated GAN-Based Medical Image Synthesis","display_name":"Backdoor Attack is a\u00a0Devil in\u00a0Federated GAN-Based Medical Image Synthesis","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4283824745","doi":"https://doi.org/10.1007/978-3-031-16980-9_15"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-16980-9_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-16980-9_15","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5078221177","display_name":"Ruinan Jin","orcid":"https://orcid.org/0009-0008-7585-8534"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Ruinan Jin","raw_affiliation_strings":["The University of British Columbia, Vancouver, Canada"],"affiliations":[{"raw_affiliation_string":"The University of British Columbia, Vancouver, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100458657","display_name":"Xiaoxiao Li","orcid":"https://orcid.org/0000-0002-8833-0244"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Xiaoxiao Li","raw_affiliation_strings":["The University of British Columbia, Vancouver, Canada"],"affiliations":[{"raw_affiliation_string":"The University of British Columbia, Vancouver, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5078221177"],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":3.6331,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.94159623,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"154","last_page":"165"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.996999979019165,"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":0.996999979019165,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9940000176429749,"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"}},{"id":"https://openalex.org/T12357","display_name":"Digital Media Forensic Detection","score":0.9800999760627747,"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/backdoor","display_name":"Backdoor","score":0.9943133592605591},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.81095951795578},{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.796461820602417},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5127087831497192},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4867875277996063},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.4744739830493927},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.46349263191223145},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4623820185661316},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.4157554805278778},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3386884331703186},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3144698143005371}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.9943133592605591},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.81095951795578},{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.796461820602417},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5127087831497192},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4867875277996063},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.4744739830493927},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.46349263191223145},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4623820185661316},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.4157554805278778},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3386884331703186},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3144698143005371},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-031-16980-9_15","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-16980-9_15","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"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":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5699999928474426,"id":"https://metadata.un.org/sdg/10"},{"display_name":"Peace, Justice and strong institutions","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W1475427807","https://openalex.org/W2113452810","https://openalex.org/W2296719434","https://openalex.org/W2541884796","https://openalex.org/W2963946669","https://openalex.org/W2963981733","https://openalex.org/W2996800219","https://openalex.org/W3012501605","https://openalex.org/W3034720584","https://openalex.org/W3086590218","https://openalex.org/W3107337211","https://openalex.org/W3175919946","https://openalex.org/W3212158867","https://openalex.org/W3213758553","https://openalex.org/W6718379498","https://openalex.org/W6735913928","https://openalex.org/W6752600739","https://openalex.org/W6818723395","https://openalex.org/W6827228381"],"related_works":["https://openalex.org/W2995777218","https://openalex.org/W2996690341","https://openalex.org/W2989852175","https://openalex.org/W3015716673","https://openalex.org/W3211393740","https://openalex.org/W3208049411","https://openalex.org/W4288797976","https://openalex.org/W3022908591","https://openalex.org/W3132644649","https://openalex.org/W3213133223"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
