{"id":"https://openalex.org/W4392981826","doi":"https://doi.org/10.1109/icaiic60209.2024.10463411","title":"Defense Method Challenges Against Backdoor Attacks in Neural Networks","display_name":"Defense Method Challenges Against Backdoor Attacks in Neural Networks","publication_year":2024,"publication_date":"2024-02-19","ids":{"openalex":"https://openalex.org/W4392981826","doi":"https://doi.org/10.1109/icaiic60209.2024.10463411"},"language":"en","primary_location":{"id":"doi:10.1109/icaiic60209.2024.10463411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-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/A5054656260","display_name":"Samaneh Shamshiri","orcid":null},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Samaneh Shamshiri","raw_affiliation_strings":["Dongguk University,Division of Electronics and Electrical Engineering,Seoul,South Korea","Division of Electronics and Electrical Engineering, Dongguk University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Dongguk University,Division of Electronics and Electrical Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5064247136","display_name":"Insoo Sohn","orcid":"https://orcid.org/0000-0003-3616-6283"},"institutions":[{"id":"https://openalex.org/I205490536","display_name":"Dongguk University","ror":"https://ror.org/057q6n778","country_code":"KR","type":"education","lineage":["https://openalex.org/I205490536"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Insoo Sohn","raw_affiliation_strings":["Dongguk University,Division of Electronics and Electrical Engineering,Seoul,South Korea","Division of Electronics and Electrical Engineering, Dongguk University, Seoul, South Korea"],"affiliations":[{"raw_affiliation_string":"Dongguk University,Division of Electronics and Electrical Engineering,Seoul,South Korea","institution_ids":["https://openalex.org/I205490536"]},{"raw_affiliation_string":"Division of Electronics and Electrical Engineering, Dongguk University, Seoul, South Korea","institution_ids":["https://openalex.org/I205490536"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5054656260"],"corresponding_institution_ids":["https://openalex.org/I205490536"],"apc_list":null,"apc_paid":null,"fwci":1.0878,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.79364433,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"396","last_page":"400"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9983999729156494,"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":0.9983999729156494,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9007999897003174,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.9755944013595581},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7021111249923706},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6534075140953064},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4737461507320404},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.3779654800891876}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.9755944013595581},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7021111249923706},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6534075140953064},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4737461507320404},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3779654800891876}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icaiic60209.2024.10463411","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icaiic60209.2024.10463411","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 International Conference on Artificial Intelligence in Information and Communication (ICAIIC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1534499320","https://openalex.org/W1904365287","https://openalex.org/W2089093251","https://openalex.org/W2131249591","https://openalex.org/W2753783305","https://openalex.org/W2807363941","https://openalex.org/W2934843808","https://openalex.org/W2942091739","https://openalex.org/W2966689772","https://openalex.org/W2986013765","https://openalex.org/W2990270730","https://openalex.org/W3116854761","https://openalex.org/W3152758407","https://openalex.org/W4212883601","https://openalex.org/W4252979261","https://openalex.org/W4304945145","https://openalex.org/W4387494391"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W4320031223","https://openalex.org/W3015678314","https://openalex.org/W4281902577","https://openalex.org/W4200629851","https://openalex.org/W3009072493","https://openalex.org/W4386185023","https://openalex.org/W4317672133","https://openalex.org/W3140988292","https://openalex.org/W4386080799"],"abstract_inverted_index":{"Open-source":[0],"machine-learning":[1],"models":[2],"demon-strated":[3],"promising":[4],"performance":[5],"in":[6,29,109,140],"a":[7,26,73],"wide":[8],"range":[9],"of":[10,34,42,58,64,76,83,90,102,133],"applications.":[11],"However,":[12],"they":[13],"have":[14],"been":[15],"proved":[16],"to":[17,54,60],"be":[18],"fragile":[19],"against":[20,106,121],"backdoor":[21,107,134],"attacks.":[22],"Backdoor":[23],"attack,":[24],"as":[25],"cyber-threat,":[27],"results":[28],"targeted":[30],"or":[31],"not-targeted":[32],"mis-classification":[33],"the":[35,40,43,55,62,65,81,84,100,103,130,137],"neural":[36,85],"networks":[37,86],"without":[38],"effecting":[39],"accuracy":[41],"benign":[44],"data":[45],"samples.":[46],"This":[47],"happens":[48],"through":[49],"inserting":[50],"imperceptible":[51],"malicious":[52],"triggers":[53],"small":[56],"part":[57,75],"datasets":[59],"change":[61],"prediction":[63],"model":[66],"based":[67],"on":[68,79],"attacker":[69],"desired":[70],"results.":[71],"Therefore,":[72],"big":[74],"researches":[77],"focused":[78],"improving":[80],"robustness":[82],"using":[87],"different":[88],"kind":[89],"detection":[91],"and":[92,127,136],"mitigation":[93],"algorithms.":[94],"In":[95],"this":[96],"paper,":[97],"we":[98,114],"discussed":[99],"challenges":[101],"defense":[104,119,143],"methods":[105],"attacks":[108,135],"machine":[110],"learning":[111],"models.":[112],"Furthermore,":[113],"explored":[115],"three":[116],"state-of-the":[117],"art":[118],"algorithms":[120],"BDs":[122],"including":[123],"DB-COVIDNet,":[124],"fine-pruning,":[125],"LPSF":[126],"delve":[128],"into":[129],"evolving":[131],"landscape":[132],"inherent":[138],"difficulties":[139],"developing":[141],"robust":[142],"mechanisms.":[144]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
