{"id":"https://openalex.org/W3208354430","doi":"https://doi.org/10.1109/tnnls.2021.3113342","title":"Feature Distillation in Deep Attention Network Against Adversarial Examples","display_name":"Feature Distillation in Deep Attention Network Against Adversarial Examples","publication_year":2021,"publication_date":"2021-11-05","ids":{"openalex":"https://openalex.org/W3208354430","doi":"https://doi.org/10.1109/tnnls.2021.3113342","mag":"3208354430","pmid":"https://pubmed.ncbi.nlm.nih.gov/34739380"},"language":"en","primary_location":{"id":"doi:10.1109/tnnls.2021.3113342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3113342","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5100633270","display_name":"Xin Chen","orcid":"https://orcid.org/0000-0003-2903-5525"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Chen","raw_affiliation_strings":["College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou, China","National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China","Guangdong Engineering Technology Research Center of Smart Agriculture, Guangzhou, China","Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-2903-5525","affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Guangdong Engineering Technology Research Center of Smart Agriculture, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5082041657","display_name":"Jian Weng","orcid":"https://orcid.org/0000-0003-4067-8230"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Weng","raw_affiliation_strings":["College of Information Science and Technology, Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0003-4067-8230","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5053583417","display_name":"Xiaoling Deng","orcid":"https://orcid.org/0000-0001-5588-3443"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoling Deng","raw_affiliation_strings":["College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou, China","Guangdong Engineering Technology Research Center of Smart Agriculture, Guangzhou, China","National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China","Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"Guangdong Engineering Technology Research Center of Smart Agriculture, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012798405","display_name":"Weiqi Luo","orcid":"https://orcid.org/0000-0001-5605-7397"},"institutions":[{"id":"https://openalex.org/I159948400","display_name":"Jinan University","ror":"https://ror.org/02xe5ns62","country_code":"CN","type":"education","lineage":["https://openalex.org/I159948400"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weiqi Luo","raw_affiliation_strings":["College of Information Science and Technology, Jinan University, Guangzhou, China"],"raw_orcid":"https://orcid.org/0000-0001-5605-7397","affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Jinan University, Guangzhou, China","institution_ids":["https://openalex.org/I159948400"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101666108","display_name":"Yubin Lan","orcid":"https://orcid.org/0000-0001-6664-5571"},"institutions":[{"id":"https://openalex.org/I101479585","display_name":"South China Agricultural University","ror":"https://ror.org/05v9jqt67","country_code":"CN","type":"education","lineage":["https://openalex.org/I101479585"]},{"id":"https://openalex.org/I4210098034","display_name":"Key Laboratory of Guangdong Province","ror":"https://ror.org/00swtqp09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210098034"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yubin Lan","raw_affiliation_strings":["College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou, China","Guangdong Engineering Technology Research Center of Smart Agriculture, Guangzhou, China","National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China","Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Electronic Engineering, College of Artificial Intelligence, South China Agricultural University, Guangzhou, China","institution_ids":["https://openalex.org/I101479585"]},{"raw_affiliation_string":"Guangdong Engineering Technology Research Center of Smart Agriculture, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"National Center for International Collaboration Research on Precision Agricultural Aviation Pesticide Spraying Technology, Guangzhou, China","institution_ids":[]},{"raw_affiliation_string":"Guangdong Laboratory for Lingnan Modern Agriculture, Guangzhou, China","institution_ids":["https://openalex.org/I4210098034"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100393506","display_name":"Qi Tian","orcid":"https://orcid.org/0000-0002-7252-5047"},"institutions":[{"id":"https://openalex.org/I2250955327","display_name":"Huawei Technologies (China)","ror":"https://ror.org/00cmhce21","country_code":"CN","type":"company","lineage":["https://openalex.org/I2250955327"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qi Tian","raw_affiliation_strings":["Huawei Cloud &#x0026; AI, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-7252-5047","affiliations":[{"raw_affiliation_string":"Huawei Cloud &#x0026; AI, Shenzhen, China","institution_ids":["https://openalex.org/I2250955327"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.3011,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.84078826,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":99},"biblio":{"volume":"34","issue":"7","first_page":"3691","last_page":"3705"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T10036","display_name":"Advanced Neural Network Applications","score":0.9779999852180481,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9635999798774719,"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/adversarial-system","display_name":"Adversarial system","score":0.933191180229187},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7443708181381226},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6522182822227478},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.6500436663627625},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6176824569702148},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4884756803512573},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40681779384613037}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.933191180229187},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7443708181381226},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6522182822227478},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.6500436663627625},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6176824569702148},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4884756803512573},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40681779384613037},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D057168","descriptor_name":"Distillation","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true}],"locations_count":2,"locations":[{"id":"doi:10.1109/tnnls.2021.3113342","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tnnls.2021.3113342","pdf_url":null,"source":{"id":"https://openalex.org/S4210175523","display_name":"IEEE Transactions on Neural Networks and Learning Systems","issn_l":"2162-237X","issn":["2162-237X","2162-2388"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Neural Networks and Learning Systems","raw_type":"journal-article"},{"id":"pmid:34739380","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34739380","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on neural networks and learning systems","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G1427926582","display_name":null,"funder_award_id":"U1736203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G3598806485","display_name":null,"funder_award_id":"2019A1515011276","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G4024153005","display_name":null,"funder_award_id":"21620432","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G4140575111","display_name":"\u79fb\u52a8\u7fa4\u667a\u611f\u77e5\u4e2d\u652f\u6301\u9690\u79c1\u4fdd\u62a4\u7684\u673a\u4f1a\u5f0f\u6570\u636e\u4f20\u8f93\u673a\u5236\u7684\u7814\u7a76","funder_award_id":"61972178","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G4518258313","display_name":null,"funder_award_id":"2016LJ06G689","funder_id":"https://openalex.org/F4320327783","funder_display_name":"Leading Talents Program of Guangdong Province"},{"id":"https://openalex.org/G4595791608","display_name":null,"funder_award_id":"61906074","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G486975143","display_name":null,"funder_award_id":"2020YFB1005600","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G5797141846","display_name":"\u91cf\u5b50\u5b89\u5168\u7684\u8f7b\u91cf\u7ea7\u5bc6\u7801\u4e0e\u5b89\u5168\u534f\u8bae","funder_award_id":"61732021","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G6220089879","display_name":null,"funder_award_id":"61825203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G71602370","display_name":null,"funder_award_id":"61675003","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/F4320327783","display_name":"Leading Talents Program of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":110,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1677182931","https://openalex.org/W1686810756","https://openalex.org/W1690739335","https://openalex.org/W1836465849","https://openalex.org/W1894057436","https://openalex.org/W1932198206","https://openalex.org/W1942214758","https://openalex.org/W1945616565","https://openalex.org/W1982075130","https://openalex.org/W2041719651","https://openalex.org/W2065372998","https://openalex.org/W2086791339","https://openalex.org/W2086866337","https://openalex.org/W2108598243","https://openalex.org/W2157554677","https://openalex.org/W2160978182","https://openalex.org/W2163605009","https://openalex.org/W2164084182","https://openalex.org/W2194775991","https://openalex.org/W2204202707","https://openalex.org/W2243397390","https://openalex.org/W2293332611","https://openalex.org/W2302255633","https://openalex.org/W2331143823","https://openalex.org/W2341061681","https://openalex.org/W2442791716","https://openalex.org/W2461475918","https://openalex.org/W2519528544","https://openalex.org/W2597490979","https://openalex.org/W2597655663","https://openalex.org/W2612372205","https://openalex.org/W2618043096","https://openalex.org/W2620038827","https://openalex.org/W2693668331","https://openalex.org/W2740667773","https://openalex.org/W2744026832","https://openalex.org/W2765407302","https://openalex.org/W2774018344","https://openalex.org/W2776207810","https://openalex.org/W2888062646","https://openalex.org/W2912322140","https://openalex.org/W2913848079","https://openalex.org/W2950621961","https://openalex.org/W2955058313","https://openalex.org/W2962759300","https://openalex.org/W2962933288","https://openalex.org/W2963001136","https://openalex.org/W2963031676","https://openalex.org/W2963148663","https://openalex.org/W2963268689","https://openalex.org/W2963384482","https://openalex.org/W2963446712","https://openalex.org/W2963495494","https://openalex.org/W2963542245","https://openalex.org/W2963560594","https://openalex.org/W2963744840","https://openalex.org/W2963857521","https://openalex.org/W2964082701","https://openalex.org/W2964137095","https://openalex.org/W2968044287","https://openalex.org/W2970072130","https://openalex.org/W2971848556","https://openalex.org/W2988396473","https://openalex.org/W2995529682","https://openalex.org/W2996230445","https://openalex.org/W2996344901","https://openalex.org/W2996564870","https://openalex.org/W3007305010","https://openalex.org/W3093152201","https://openalex.org/W3101882350","https://openalex.org/W3103340107","https://openalex.org/W3118608800","https://openalex.org/W3169336656","https://openalex.org/W4239147634","https://openalex.org/W4288261383","https://openalex.org/W4300725094","https://openalex.org/W4385245566","https://openalex.org/W4394644156","https://openalex.org/W6626481562","https://openalex.org/W6637162671","https://openalex.org/W6637373629","https://openalex.org/W6637551013","https://openalex.org/W6638444622","https://openalex.org/W6638667902","https://openalex.org/W6639359414","https://openalex.org/W6640300313","https://openalex.org/W6640425456","https://openalex.org/W6684191040","https://openalex.org/W6698183232","https://openalex.org/W6713132643","https://openalex.org/W6725195833","https://openalex.org/W6735377749","https://openalex.org/W6735419579","https://openalex.org/W6737443998","https://openalex.org/W6739901393","https://openalex.org/W6743284318","https://openalex.org/W6744679260","https://openalex.org/W6745136726","https://openalex.org/W6745272055","https://openalex.org/W6758975236","https://openalex.org/W6766951806","https://openalex.org/W6771809012","https://openalex.org/W6771885716","https://openalex.org/W6772367552","https://openalex.org/W6772461460","https://openalex.org/W6784067995","https://openalex.org/W6787972765","https://openalex.org/W6864546407","https://openalex.org/W6948022635"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W3093978547","https://openalex.org/W3203790781","https://openalex.org/W2997056298","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W3127875750","https://openalex.org/W4383221314","https://openalex.org/W4386850404"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"are":[4,34,72],"easily":[5],"fooled":[6],"by":[7,108,162],"adversarial":[8,16,38,93,106,120,144,190,220],"examples.":[9,145],"Most":[10],"existing":[11,212],"defense":[12,213],"strategies":[13,214],"defend":[14,142],"against":[15,143],"examples":[17],"based":[18,135],"on":[19,48,136,159,170,200],"full":[20],"information":[21],"of":[22,52,74,91,113,119,132],"whole":[23],"images.":[24,53,202],"In":[25,95],"reality,":[26],"one":[27],"possible":[28],"reason":[29],"as":[30,215],"to":[31,37,141,189,217],"why":[32],"humans":[33],"not":[35,184],"sensitive":[36],"perturbations":[39,107,121],"is":[40],"that":[41,101,149,177],"the":[42,86,116,171],"human":[43],"visual":[44],"mechanism":[45,57],"often":[46],"concentrates":[47],"most":[49],"important":[50],"regions":[51,165],"A":[54],"deep":[55],"attention":[56,76,87,102,133,152,164,181,206],"has":[58,66,89],"been":[59],"applied":[60],"in":[61,85,122,180],"many":[62],"computer":[63],"fields":[64],"and":[65,78,128,139,173],"achieved":[67],"great":[68],"success.":[69],"Attention":[70],"modules":[71,103,134,153,182,207],"composed":[73],"an":[75],"branch":[77,88],"a":[79],"trunk":[80],"branch.":[81],"The":[82],"encoder/decoder":[83],"architecture":[84],"potential":[90,110],"compressing":[92],"perturbations.":[94],"this":[96],"article,":[97],"we":[98,126,147],"theoretically":[99],"prove":[100],"can":[104,154,183,208],"compress":[105],"destroying":[109],"linear":[111],"characteristics":[112,118],"DNNs.":[114],"Considering":[115],"distribution":[117],"different":[123],"frequency":[124,137,178],"bands,":[125],"design":[127],"compare":[129],"three":[130],"types":[131],"decomposition":[138],"reorganization":[140,179],"Moreover,":[146,203],"find":[148],"our":[150,204],"designed":[151],"obtain":[155,194],"high":[156],"classification":[157],"accuracies":[158,199],"clean":[160,201],"images":[161],"locating":[163],"more":[166],"accurately.":[167],"Experimental":[168],"results":[169],"CIFAR":[172],"ImageNet":[174],"dataset":[175],"demonstrate":[176],"only":[185],"achieve":[186],"good":[187],"robustness":[188],"perturbations,":[191],"but":[192],"also":[193],"comparable,":[195],"even":[196],"higher":[197],"classification,":[198],"proposed":[205],"be":[209],"integrated":[210],"with":[211],"components":[216],"further":[218],"improve":[219],"robustness.":[221]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":7},{"year":2023,"cited_by_count":3}],"updated_date":"2026-07-27T08:26:11.824852","created_date":"2025-10-10T00:00:00"}
