{"id":"https://openalex.org/W4408861906","doi":"https://doi.org/10.1109/icce63647.2025.10930084","title":"Robust Defense Against Adversarial Attacks with Defensive Preprocessing and Adversarial Training","display_name":"Robust Defense Against Adversarial Attacks with Defensive Preprocessing and Adversarial Training","publication_year":2025,"publication_date":"2025-01-11","ids":{"openalex":"https://openalex.org/W4408861906","doi":"https://doi.org/10.1109/icce63647.2025.10930084"},"language":"en","primary_location":{"id":"doi:10.1109/icce63647.2025.10930084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10930084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","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/A5113690345","display_name":"Chih-Yang Lin","orcid":null},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Chih-Yang Lin","raw_affiliation_strings":["National Central University,Department of Mechanical Engineering,Taoyuan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Department of Mechanical Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109759557","display_name":"Bing-Hua Lai","orcid":null},"institutions":[{"id":"https://openalex.org/I148099254","display_name":"National Chung Cheng University","ror":"https://ror.org/0028v3876","country_code":"TW","type":"education","lineage":["https://openalex.org/I148099254"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Bing-Hua Lai","raw_affiliation_strings":["National Chung Cheng University,Department of Computer Science and Information Engineering,Chiayi,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Chung Cheng University,Department of Computer Science and Information Engineering,Chiayi,Taiwan","institution_ids":["https://openalex.org/I148099254"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009152648","display_name":"Hui\u2010Fuang Ng","orcid":"https://orcid.org/0000-0003-4394-2770"},"institutions":[{"id":"https://openalex.org/I931681460","display_name":"Universiti Tunku Abdul Rahman","ror":"https://ror.org/050pq4m56","country_code":"MY","type":"education","lineage":["https://openalex.org/I931681460"]}],"countries":["MY"],"is_corresponding":false,"raw_author_name":"Hui-Fuang Ng","raw_affiliation_strings":["University Tunku Abdul Rahman,Department of Computer Science,Kampar,Malaysia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University Tunku Abdul Rahman,Department of Computer Science,Kampar,Malaysia","institution_ids":["https://openalex.org/I931681460"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101420358","display_name":"Wei-Yang Lin","orcid":"https://orcid.org/0000-0003-0895-2498"},"institutions":[{"id":"https://openalex.org/I22265921","display_name":"National Central University","ror":"https://ror.org/00944ve71","country_code":"TW","type":"education","lineage":["https://openalex.org/I22265921"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Wei-Yang Lin","raw_affiliation_strings":["National Central University,Department of Mechanical Engineering,Taoyuan,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Central University,Department of Mechanical Engineering,Taoyuan,Taiwan","institution_ids":["https://openalex.org/I22265921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5012638803","display_name":"Ming\u2010Ching Chang","orcid":"https://orcid.org/0000-0001-9325-5341"},"institutions":[{"id":"https://openalex.org/I113508548","display_name":"Albany State University","ror":"https://ror.org/01vme4277","country_code":"US","type":"education","lineage":["https://openalex.org/I113508548"]},{"id":"https://openalex.org/I392282","display_name":"University at Albany, State University of New York","ror":"https://ror.org/012zs8222","country_code":"US","type":"education","lineage":["https://openalex.org/I392282"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Ming-Ching Chang","raw_affiliation_strings":["University at Albany, State University of New York,Department of Computer Science,New York,Albany,USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University at Albany, State University of New York,Department of Computer Science,New York,Albany,USA","institution_ids":["https://openalex.org/I113508548","https://openalex.org/I392282"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.7588,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.85759888,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9351000189781189,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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":0.9659239053726196},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6682280898094177},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.6245822906494141},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.5903553366661072},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.5134454965591431},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.38672322034835815}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9659239053726196},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6682280898094177},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.6245822906494141},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5903553366661072},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.5134454965591431},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38672322034835815},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icce63647.2025.10930084","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icce63647.2025.10930084","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Consumer Electronics (ICCE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Climate action","id":"https://metadata.un.org/sdg/13","score":0.5}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":18,"referenced_works":["https://openalex.org/W2533598788","https://openalex.org/W2774018344","https://openalex.org/W2774644650","https://openalex.org/W2952773607","https://openalex.org/W2962872506","https://openalex.org/W2963771536","https://openalex.org/W2964082701","https://openalex.org/W2974383094","https://openalex.org/W2987875759","https://openalex.org/W3007264885","https://openalex.org/W3167568784","https://openalex.org/W3216686652","https://openalex.org/W4293846201","https://openalex.org/W6640425456","https://openalex.org/W6729756640","https://openalex.org/W6746402973","https://openalex.org/W6748204703","https://openalex.org/W6761839128"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W3105849702"],"abstract_inverted_index":{"Adversarial":[0,70],"attacks,":[1,51,77],"achieved":[2],"through":[3],"carefully":[4],"crafted":[5],"perturbations,":[6],"exploit":[7],"vulnerabilities":[8],"in":[9],"deep":[10],"learning":[11],"models,":[12],"posing":[13],"serious":[14],"risks.":[15],"In":[16],"this":[17],"study,":[18],"we":[19],"present":[20],"an":[21],"integrated":[22],"defensive":[23,94,114],"preprocessing":[24,43,95],"and":[25,32,55,83,96,110,122],"adversarial":[26,97],"training":[27,71,98,108,143],"pipeline":[28],"as":[29],"a":[30,146],"unified":[31],"effective":[33],"defense":[34],"against":[35,101],"multiple":[36,102],"attacks":[37],"targeting":[38],"image":[39],"classification":[40],"models.":[41],"Defensive":[42],"introduces":[44],"random":[45],"noise":[46],"to":[47,57,65,81,126,136],"mitigate":[48],"harms":[49],"from":[50],"employing":[52],"average":[53],"pooling":[54],"denoising":[56],"effectively":[58,99],"reduce":[59],"their":[60],"impact.":[61],"Super-resolution":[62],"is":[63,116],"used":[64],"recover":[66],"lost":[67],"details":[68],"post-pooling.":[69],"generates":[72],"additional":[73],"samples":[74],"under":[75],"various":[76],"enabling":[78],"the":[79,91,124,128],"model":[80],"learn":[82],"recognize":[84],"attacked":[85],"images.":[86],"Our":[87],"findings":[88],"demonstrate":[89],"that":[90],"combination":[92],"of":[93],"defends":[100],"unknown":[103],"attack":[104,140,148],"types,":[105],"requiring":[106],"fewer":[107],"types":[109,141],"samples.":[111],"The":[112],"proposed":[113],"method":[115],"versatile,":[117],"with":[118,142],"minimal":[119],"computational":[120],"demands":[121],"without":[123],"need":[125],"retrain":[127],"underlying":[129],"model.":[130],"Furthermore,":[131],"it":[132],"can":[133],"be":[134],"extended":[135],"handle":[137],"new,":[138],"unseen":[139],"on":[144],"just":[145],"single":[147],"type.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
