{"id":"https://openalex.org/W3049226459","doi":"https://doi.org/10.1109/tip.2021.3112290","title":"Semantically Adversarial Learnable Filters","display_name":"Semantically Adversarial Learnable Filters","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3049226459","doi":"https://doi.org/10.1109/tip.2021.3112290","mag":"3049226459","pmid":"https://pubmed.ncbi.nlm.nih.gov/34543196"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2021.3112290","doi":"https://doi.org/10.1109/tip.2021.3112290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3112290","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Image Processing","raw_type":"journal-article"},"volume":null,"type":"article","is_traditional":true,"indexed_in":["arxiv","crossref","datacite","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2008.06069","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Ali Shahin Shamsabadi","orcid":"https://orcid.org/0000-0003-2649-8700","observed_orcids":["https://orcid.org/0000-0003-2649-8700"]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Ali Shahin Shamsabadi","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, UK","Centre for Intelligent Sensing, Queen Mary University of London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0003-2649-8700","affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103187625","display_name":"Changjae Oh","orcid":"https://orcid.org/0000-0002-6522-2451","observed_orcids":["https://orcid.org/0000-0002-6522-2451"]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Changjae Oh","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, UK","Centre for Intelligent Sensing, Queen Mary University of London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0002-6522-2451","affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5004087827","display_name":"Andrea Cavallaro","orcid":"https://orcid.org/0000-0001-5086-7858","observed_orcids":["https://orcid.org/0000-0001-5086-7858"]},"institutions":[{"id":"https://openalex.org/I166337079","display_name":"Queen Mary University of London","ror":"https://ror.org/026zzn846","country_code":"GB","type":"education","lineage":["https://openalex.org/I124357947","https://openalex.org/I166337079"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Andrea Cavallaro","raw_affiliation_strings":["Centre for Intelligent Sensing, Queen Mary University of London, UK","Centre for Intelligent Sensing, Queen Mary University of London, London, U.K"],"raw_orcid":"https://orcid.org/0000-0001-5086-7858","affiliations":[{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, UK","institution_ids":["https://openalex.org/I166337079"]},{"raw_affiliation_string":"Centre for Intelligent Sensing, Queen Mary University of London, London, U.K","institution_ids":["https://openalex.org/I166337079"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I166337079"],"apc_list":{"value":2045,"currency":"USD","value_usd":2045},"apc_paid":null,"fwci":0.4333,"has_fulltext":true,"cited_by_count":8,"citation_normalized_percentile":{"value":0.60068601,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":87,"max":97},"biblio":{"volume":"30","issue":null,"first_page":"8075","last_page":"8087"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9980000257492065,"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":0.9980000257492065,"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/T12357","display_name":"Digital Media Forensic Detection","score":0.00139999995008111,"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/T10036","display_name":"Advanced Neural Network Applications","score":9.999999747378752e-05,"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/adversarial-perturbations","display_name":"adversarial perturbations","score":0.8859999775886536},{"id":"https://openalex.org/keywords/structure-loss","display_name":"structure loss","score":0.8029999732971191},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"multi-task learning","score":0.6890000104904175},{"id":"https://openalex.org/keywords/image-classification-robustness","display_name":"image classification robustness","score":0.5540000200271606},{"id":"https://openalex.org/keywords/transferability","display_name":"transferability","score":0.6129999756813049},{"id":"https://openalex.org/keywords/logarithmic-transformation","display_name":"logarithmic transformation","score":0.906000018119812},{"id":"https://openalex.org/keywords/gamma-correction","display_name":"gamma correction","score":0.9959999918937683},{"id":"https://openalex.org/keywords/image-filters","display_name":"image filters","score":0.4129999876022339}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7293477654457092},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7140556573867798},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6625457406044006},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6371092796325684},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.5687956809997559},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5589141249656677},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5131705403327942},{"id":"https://openalex.org/C184337299","wikidata":"https://www.wikidata.org/wiki/Q1437428","display_name":"Semantics (computer science)","level":2,"score":0.49431467056274414},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.48092934489250183},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.4246430993080139},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3191819190979004},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":6,"locations":[{"id":"doi:10.1109/tip.2021.3112290","doi":"https://doi.org/10.1109/tip.2021.3112290","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2021.3112290","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"listed_in":["anvur-scientific","ccf-a","cwts-core","dongbi-a","doyens","jufo-3","ki-jl-2","medline","norway-2","poland-200","russia-white-list-1","vabb-shw"],"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 Image Processing","raw_type":"journal-article"},{"id":"pmid:34543196","doi":null,"is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/34543196","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,"listed_in":[],"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 image processing : a publication of the IEEE Signal Processing Society","raw_type":"Journal Article"},{"id":"pmh:oai:arXiv.org:2008.06069","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.06069","pdf_url":"https://arxiv.org/pdf/2008.06069","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"mag:3049226459","doi":null,"is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2008.06069","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"pmh:oai:qmro.qmul.ac.uk:123456789/74328","doi":null,"is_oa":false,"landing_page_url":"https://qmro.qmul.ac.uk/xmlui/handle/123456789/74328","pdf_url":null,"source":{"id":"https://openalex.org/S4306400530","display_name":"Queen Mary Research Online (Queen Mary University of London)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I166337079","host_organization_name":"Queen Mary University of London","host_organization_lineage":["https://openalex.org/I166337079"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Article"},{"id":"doi:10.48550/arxiv.2008.06069","doi":"https://doi.org/10.48550/arxiv.2008.06069","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2008.06069","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2008.06069","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2008.06069","pdf_url":"https://arxiv.org/pdf/2008.06069","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[],"study_designs":[],"awards":[{"id":"https://openalex.org/G4500485203","display_name":"The Alan Turing Institute","funder_award_id":"EP/N510129/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"},{"id":"https://openalex.org/G8597009950","display_name":null,"funder_award_id":"EP/N510129/1","funder_id":"https://openalex.org/F4320334627","funder_display_name":"Engineering and Physical Sciences Research Council"}],"funders":[{"id":"https://openalex.org/F4320313467","display_name":"Alan Turing Institute","ror":"https://ror.org/035dkdb55"},{"id":"https://openalex.org/F4320334627","display_name":"Engineering and Physical Sciences Research Council","ror":"https://ror.org/0439y7842"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3049226459.pdf","grobid_xml":"https://content.openalex.org/works/W3049226459.grobid-xml"},"referenced_works_count":50,"referenced_works":["https://openalex.org/W9657784","https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W2061052400","https://openalex.org/W2108598243","https://openalex.org/W2133665775","https://openalex.org/W2136480620","https://openalex.org/W2163605009","https://openalex.org/W2180612164","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2340897893","https://openalex.org/W2460937040","https://openalex.org/W2516574342","https://openalex.org/W2562637781","https://openalex.org/W2607219512","https://openalex.org/W2616247523","https://openalex.org/W2640329709","https://openalex.org/W2788552737","https://openalex.org/W2795995837","https://openalex.org/W2899877675","https://openalex.org/W2901440361","https://openalex.org/W2940052067","https://openalex.org/W2947028053","https://openalex.org/W2948507304","https://openalex.org/W2951798058","https://openalex.org/W2962858109","https://openalex.org/W2963207607","https://openalex.org/W2963222130","https://openalex.org/W2963452532","https://openalex.org/W2963767233","https://openalex.org/W2964153729","https://openalex.org/W2964253222","https://openalex.org/W2969542116","https://openalex.org/W2979878901","https://openalex.org/W2982249444","https://openalex.org/W2990669971","https://openalex.org/W2995404272","https://openalex.org/W3016308890","https://openalex.org/W3017410768","https://openalex.org/W3026649487","https://openalex.org/W3034412497","https://openalex.org/W3103836116","https://openalex.org/W3109062656","https://openalex.org/W3127862651","https://openalex.org/W3129376454","https://openalex.org/W3187541268","https://openalex.org/W4205744046","https://openalex.org/W4243154030","https://openalex.org/W4253250161"],"related_works":["https://openalex.org/W2982249444","https://openalex.org/W2938107276","https://openalex.org/W3003901157","https://openalex.org/W3127862651","https://openalex.org/W2995404272","https://openalex.org/W3175019139","https://openalex.org/W2593871270","https://openalex.org/W3198495460","https://openalex.org/W3082918953","https://openalex.org/W2990669971"],"abstract_inverted_index":{"We":[0,92,126,146],"present":[1],"an":[2],"adversarial":[3,33,67,155],"framework":[4,25,95,131],"to":[5,40,74,143],"craft":[6,75],"perturbations":[7,52,76],"that":[8,77,128],"mislead":[9],"classifiers":[10],"by":[11,59],"accounting":[12],"for":[13],"the":[14,18,21,79,89,112,129,154],"image":[15,62,81],"content":[16],"and":[17,30,55,106,110,121,141,150],"semantics":[19],"of":[20,71,153],"labels.":[22],"The":[23,47,65],"proposed":[24,130],"combines":[26],"a":[27,31,36,42,60,86,136],"structure":[28,48],"loss":[29,34,49,68],"semantic":[32,66],"in":[35,88],"multi-task":[37],"objective":[38,149],"function":[39],"train":[41],"fully":[43],"convolutional":[44],"neural":[45],"network.":[46],"helps":[50],"generate":[51],"whose":[53],"type":[54],"magnitude":[56],"are":[57],"defined":[58],"target":[61,99],"processing":[63],"filter.":[64],"considers":[69],"groups":[70],"(semantic)":[72],"labels":[73],"prevent":[78],"filtered":[80,114,133],"from":[82],"being":[83],"classified":[84],"with":[85,96,135],"label":[87],"same":[90],"group.":[91],"validate":[93],"our":[94],"three":[97,117],"different":[98],"filters,":[100],"namely":[101],"detail":[102],"enhancement,":[103],"log":[104],"transformation":[105],"gamma":[107],"correction":[108],"filters;":[109],"evaluate":[111],"adversarially":[113],"images":[115,134],"against":[116],"classifiers,":[118],"ResNet50,":[119],"ResNet18":[120],"AlexNet,":[122],"pre-trained":[123],"on":[124],"ImageNet.":[125],"show":[127],"generates":[132],"high":[137],"success":[138],"rate,":[139],"robustness,":[140],"transferability":[142],"unseen":[144],"classifiers.":[145],"also":[147],"discuss":[148],"subjective":[151],"evaluations":[152],"perturbations.":[156]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2020-08-21T00:00:00"}
