{"id":"https://openalex.org/W4406496890","doi":"https://doi.org/10.1109/bigdata62323.2024.10825788","title":"Partially training, isolating and unlearning, mitigating backdoor attack","display_name":"Partially training, isolating and unlearning, mitigating backdoor attack","publication_year":2024,"publication_date":"2024-12-15","ids":{"openalex":"https://openalex.org/W4406496890","doi":"https://doi.org/10.1109/bigdata62323.2024.10825788"},"language":"en","primary_location":{"id":"doi:10.1109/bigdata62323.2024.10825788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5100735403","display_name":"Yong Li","orcid":"https://orcid.org/0000-0002-2907-9811"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Yong Li","raw_affiliation_strings":["Changchun University of Technology AI Research Institute, Changchun University of Technology,School of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University of Technology AI Research Institute, Changchun University of Technology,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030078778","display_name":"Han Gao","orcid":"https://orcid.org/0000-0002-2947-7764"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Han Gao","raw_affiliation_strings":["Changchun University of Technology AI Research Institute, Changchun University of Technology,School of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University of Technology AI Research Institute, Changchun University of Technology,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103241889","display_name":"Hao Chen","orcid":"https://orcid.org/0009-0004-1030-6836"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Changchun University of Technology AI Research Institute, Changchun University of Technology,School of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University of Technology AI Research Institute, Changchun University of Technology,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377950","display_name":"Yiming Wang","orcid":"https://orcid.org/0000-0002-5932-4371"},"institutions":[{"id":"https://openalex.org/I4385474403","display_name":"Changchun University of Technology","ror":"https://ror.org/052pakb34","country_code":null,"type":"education","lineage":["https://openalex.org/I4385474403"]}],"countries":[],"is_corresponding":false,"raw_author_name":"Yiming Wang","raw_affiliation_strings":["Changchun University of Technology AI Research Institute, Changchun University of Technology,School of Computer Science and Engineering"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Changchun University of Technology AI Research Institute, Changchun University of Technology,School of Computer Science and Engineering","institution_ids":["https://openalex.org/I4385474403"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5073333718","display_name":"Chun Pong Yu","orcid":"https://orcid.org/0000-0002-8029-674X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Chun Yu","raw_affiliation_strings":["Non-Commissioned Officer School of Army Academy of Armored Forces,Changchun,China,130051"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Non-Commissioned Officer School of Army Academy of Armored Forces,Changchun,China,130051","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"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":"6313","last_page":"6319"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994000196456909,"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":0.9994000196456909,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9973999857902527,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9925000071525574,"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/backdoor","display_name":"Backdoor","score":0.9909499883651733},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6542227864265442},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6384928226470947},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.509418785572052},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3933948278427124}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.9909499883651733},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6542227864265442},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6384928226470947},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.509418785572052},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3933948278427124},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/bigdata62323.2024.10825788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/bigdata62323.2024.10825788","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE International Conference on Big Data (BigData)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","score":0.47999998927116394,"id":"https://metadata.un.org/sdg/13"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":46,"referenced_works":["https://openalex.org/W2130942839","https://openalex.org/W2143612262","https://openalex.org/W2194775991","https://openalex.org/W2748789698","https://openalex.org/W2774423163","https://openalex.org/W2807363941","https://openalex.org/W2898759955","https://openalex.org/W2934843808","https://openalex.org/W2966689772","https://openalex.org/W2970335439","https://openalex.org/W2970898057","https://openalex.org/W3008191164","https://openalex.org/W3023868144","https://openalex.org/W3042871071","https://openalex.org/W3044815875","https://openalex.org/W3093137868","https://openalex.org/W3093239278","https://openalex.org/W3094933146","https://openalex.org/W3106646114","https://openalex.org/W3107337211","https://openalex.org/W3109235236","https://openalex.org/W3110923198","https://openalex.org/W3118608800","https://openalex.org/W3121478722","https://openalex.org/W3130788031","https://openalex.org/W3162804012","https://openalex.org/W3163966458","https://openalex.org/W3214636874","https://openalex.org/W4214564822","https://openalex.org/W4288093767","https://openalex.org/W4289300166","https://openalex.org/W4312536478","https://openalex.org/W4390871934","https://openalex.org/W6679436768","https://openalex.org/W6681673350","https://openalex.org/W6743581629","https://openalex.org/W6746897123","https://openalex.org/W6756074407","https://openalex.org/W6756333562","https://openalex.org/W6767183785","https://openalex.org/W6771747359","https://openalex.org/W6784558051","https://openalex.org/W6787972765","https://openalex.org/W6788876066","https://openalex.org/W6789325072","https://openalex.org/W6803053407"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W4320031223","https://openalex.org/W4200629851","https://openalex.org/W4281902577","https://openalex.org/W4309417370","https://openalex.org/W4292107232","https://openalex.org/W3009072493","https://openalex.org/W4401407399"],"abstract_inverted_index":{"Neural":[0],"networks":[1],"are":[2,12,50],"widely":[3],"known":[4],"to":[5,8,26,56,89,92,129,147,160],"be":[6],"vulnerable":[7],"backdoor":[9,99,112,149,157,175],"attacks,":[10,113],"witch":[11,86],"full":[13],"of":[14,22,71,83,111,126],"threats,":[15],"a":[16,20,95,98,116,131,142],"method":[17],"that":[18,82,123,133,167],"poisons":[19],"portion":[21],"the":[23,28,44,61,69,90,109,127],"training":[24,119],"data":[25,35],"make":[27],"target":[29],"model":[30,96,118,128,132,144],"perform":[31],"well":[32,171],"on":[33,43,75,101,139],"normal":[34,58,76],"sets,":[36],"while":[37],"outputting":[38],"attacker-specified":[39],"or":[40],"random":[41],"categories":[42],"poisoned":[45,48],"samples.":[46,137],"Nowadays,":[47],"samples":[49,77],"becoming":[51],"more":[52,54],"and":[53,68,155],"similar":[55],"corresponding":[57],"samples,":[59],"even":[60],"human":[62],"eye":[63],"cannot":[64],"easily":[65],"distinguish":[66],"them":[67],"accuracy":[70],"models":[72,85],"carrying":[73],"backdoors":[74],"is":[78,145],"no":[79],"different":[80],"from":[81],"clean":[84,143],"also":[87],"leads":[88],"inability":[91],"determine":[93],"whether":[94],"carries":[97],"based":[100],"its":[102],"accuracy.":[103],"In":[104],"this":[105,140],"article,":[106],"by":[107],"observing":[108],"characteristics":[110],"We":[114,151],"provide":[115],"new":[117],"method,":[120],"Partial":[121],"Training(PT),":[122],"freezes":[124],"part":[125],"train":[130],"can":[134],"isolate":[135],"suspicious":[136],"Then,":[138],"basis,":[141],"fine-tune":[146],"resist":[148],"attacks.":[150],"used":[152],"three":[153],"datasets":[154],"four":[156],"attack":[158],"methods":[159],"conduct":[161],"our":[162],"experiments.":[163],"The":[164],"experiments":[165],"showed":[166],"PT":[168],"performed":[169],"very":[170],"in":[172],"defending":[173],"against":[174],"attacks":[176],"mentioned":[177],"above.":[178]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
