{"id":"https://openalex.org/W4280547444","doi":"https://doi.org/10.23919/date54114.2022.9774624","title":"Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge","display_name":"Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge","publication_year":2022,"publication_date":"2022-03-14","ids":{"openalex":"https://openalex.org/W4280547444","doi":"https://doi.org/10.23919/date54114.2022.9774624"},"language":"en","primary_location":{"id":"doi:10.23919/date54114.2022.9774624","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date54114.2022.9774624","pdf_url":null,"source":{"id":"https://openalex.org/S4363607924","display_name":"2022 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","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/A5033612167","display_name":"Kartikeya Bhardwaj","orcid":"https://orcid.org/0000-0002-8115-4276"},"institutions":[{"id":"https://openalex.org/I4210156213","display_name":"American Rock Mechanics Association","ror":"https://ror.org/05vfrxy92","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156213"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kartikeya Bhardwaj","raw_affiliation_strings":["Arm Inc.,San Jose,CA,USA","Arm Inc., San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arm Inc.,San Jose,CA,USA","institution_ids":["https://openalex.org/I4210156213"]},{"raw_affiliation_string":"Arm Inc., San Jose, CA, USA","institution_ids":["https://openalex.org/I4210156213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078130628","display_name":"Dibakar Gope","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156213","display_name":"American Rock Mechanics Association","ror":"https://ror.org/05vfrxy92","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156213"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dibakar Gope","raw_affiliation_strings":["Arm Research,Austin,TX,USA","Arm Research, Austin, TX, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arm Research,Austin,TX,USA","institution_ids":["https://openalex.org/I4210156213"]},{"raw_affiliation_string":"Arm Research, Austin, TX, USA","institution_ids":["https://openalex.org/I4210156213"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078959900","display_name":"James Ward","orcid":"https://orcid.org/0000-0002-0362-4711"},"institutions":[{"id":"https://openalex.org/I188760350","display_name":"Ollscoil na Gaillimhe \u2013 University of Galway","ror":"https://ror.org/03bea9k73","country_code":"IE","type":"education","lineage":["https://openalex.org/I188760350"]},{"id":"https://openalex.org/I4210142142","display_name":"COPE Galway","ror":"https://ror.org/04ehmzv20","country_code":"IE","type":"other","lineage":["https://openalex.org/I4210142142"]}],"countries":["IE"],"is_corresponding":false,"raw_author_name":"James Ward","raw_affiliation_strings":["Arm Inc.,Galway,Ireland","Arm Inc., Galway, Ireland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arm Inc.,Galway,Ireland","institution_ids":["https://openalex.org/I188760350","https://openalex.org/I4210142142"]},{"raw_affiliation_string":"Arm Inc., Galway, Ireland","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088853105","display_name":"Paul N. Whatmough","orcid":"https://orcid.org/0000-0002-1865-6492"},"institutions":[{"id":"https://openalex.org/I4210156213","display_name":"American Rock Mechanics Association","ror":"https://ror.org/05vfrxy92","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156213"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Paul Whatmough","raw_affiliation_strings":["Arm Research,Boston,MA,USA","Arm Research, Boston, MA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arm Research,Boston,MA,USA","institution_ids":["https://openalex.org/I4210156213"]},{"raw_affiliation_string":"Arm Research, Boston, MA, USA","institution_ids":["https://openalex.org/I4210156213"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5018952054","display_name":"Danny Loh","orcid":null},"institutions":[{"id":"https://openalex.org/I4210156213","display_name":"American Rock Mechanics Association","ror":"https://ror.org/05vfrxy92","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I4210156213"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Danny Loh","raw_affiliation_strings":["Arm Inc.,San Jose,CA,USA","Arm Inc., San Jose, CA, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Arm Inc.,San Jose,CA,USA","institution_ids":["https://openalex.org/I4210156213"]},{"raw_affiliation_string":"Arm Inc., San Jose, CA, USA","institution_ids":["https://openalex.org/I4210156213"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2076,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.38563477,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"418","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9962000250816345,"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":0.9962000250816345,"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/T14117","display_name":"Integrated Circuits and Semiconductor Failure Analysis","score":0.9959999918937683,"subfield":{"id":"https://openalex.org/subfields/2208","display_name":"Electrical and Electronic Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11105","display_name":"Advanced Image Processing Techniques","score":0.9950000047683716,"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/robustness","display_name":"Robustness (evolution)","score":0.8336879014968872},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8198714852333069},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7085555195808411},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.632002055644989},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5531569123268127},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.521964967250824},{"id":"https://openalex.org/keywords/image-quality","display_name":"Image quality","score":0.5219237804412842},{"id":"https://openalex.org/keywords/software-deployment","display_name":"Software deployment","score":0.4810045659542084},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4447338581085205},{"id":"https://openalex.org/keywords/image-resolution","display_name":"Image resolution","score":0.4178756773471832},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.39967915415763855},{"id":"https://openalex.org/keywords/computer-engineering","display_name":"Computer engineering","score":0.398865282535553},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.38668814301490784},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3508185148239136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.33944475650787354}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8336879014968872},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8198714852333069},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7085555195808411},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.632002055644989},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5531569123268127},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.521964967250824},{"id":"https://openalex.org/C55020928","wikidata":"https://www.wikidata.org/wiki/Q3813865","display_name":"Image quality","level":3,"score":0.5219237804412842},{"id":"https://openalex.org/C105339364","wikidata":"https://www.wikidata.org/wiki/Q2297740","display_name":"Software deployment","level":2,"score":0.4810045659542084},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4447338581085205},{"id":"https://openalex.org/C205372480","wikidata":"https://www.wikidata.org/wiki/Q210521","display_name":"Image resolution","level":2,"score":0.4178756773471832},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.39967915415763855},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.398865282535553},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.38668814301490784},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3508185148239136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.33944475650787354},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","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},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/date54114.2022.9774624","is_oa":false,"landing_page_url":"https://doi.org/10.23919/date54114.2022.9774624","pdf_url":null,"source":{"id":"https://openalex.org/S4363607924","display_name":"2022 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 Design, Automation &amp; Test in Europe Conference &amp; Exhibition (DATE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2503339013","https://openalex.org/W2612372205","https://openalex.org/W2913266441","https://openalex.org/W2962847335","https://openalex.org/W2962872506","https://openalex.org/W2962933288","https://openalex.org/W2963001136","https://openalex.org/W2963163009","https://openalex.org/W2963372104","https://openalex.org/W2963376662","https://openalex.org/W2963470893","https://openalex.org/W2963920068","https://openalex.org/W2974383094","https://openalex.org/W2981751377","https://openalex.org/W2996344901","https://openalex.org/W2996564870","https://openalex.org/W3009542902","https://openalex.org/W3091870967","https://openalex.org/W3098585582","https://openalex.org/W3101202235","https://openalex.org/W3159852148","https://openalex.org/W3202741134","https://openalex.org/W4287268252","https://openalex.org/W4288351313","https://openalex.org/W4293846201","https://openalex.org/W6640425456","https://openalex.org/W6737443998","https://openalex.org/W6739868092","https://openalex.org/W6745272055","https://openalex.org/W6746402973","https://openalex.org/W6748581759","https://openalex.org/W6759129252","https://openalex.org/W6762887799","https://openalex.org/W6763989631","https://openalex.org/W6771809012","https://openalex.org/W6772461460","https://openalex.org/W6773650956","https://openalex.org/W6774469542","https://openalex.org/W6783920880","https://openalex.org/W6791827983","https://openalex.org/W6801959852"],"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/W2953536436"],"abstract_inverted_index":{"Autonomous":[0],"systems":[1],"are":[2],"highly":[3],"vulnerable":[4],"to":[5,24,32,141],"a":[6,40,85,118,181,198],"variety":[7],"of":[8,28,101,154,165,176],"adversarial":[9,54],"attacks":[10,47],"on":[11,48,77,180],"Deep":[12],"Neural":[13],"Networks":[14],"(DNNs).":[15],"Training-free":[16],"model-agnostic":[17],"defenses":[18,179],"have":[19],"recently":[20],"gained":[21],"popularity":[22],"due":[23],"their":[25],"speed,":[26],"ease":[27],"deployment,":[29],"and":[30,73],"ability":[31],"work":[33,120],"across":[34],"many":[35],"DNNs.":[36],"To":[37,112],"this":[38,91],"end,":[39],"new":[41],"technique":[42],"has":[43],"emerged":[44],"for":[45],"mitigating":[46],"image":[49,71,102,132],"classification":[50],"DNNs,":[51],"namely,":[52],"preprocessing":[53],"images":[55],"using":[56],"super":[57,74,82,109,177],"resolution":[58,75,83,110],"-":[59],"upscaling":[60],"low-quality":[61],"inputs":[62],"into":[63],"high-resolution":[64],"images.":[65],"This":[66],"defense":[67],"requires":[68],"running":[69],"both":[70],"classifiers":[72,103],"models":[76],"constrained":[78],"autonomous":[79],"systems.":[80],"However,":[81],"incurs":[84],"heavy":[86],"computational":[87],"cost.":[88],"Therefore,":[89],"in":[90],"paper,":[92],"we":[93,106,115,172],"investigate":[94],"the":[95,99,162],"following":[96],"question:":[97],"Does":[98],"robustness":[100,166],"suffer":[104],"if":[105],"use":[107],"tiny":[108],"models?":[111],"answer":[113],"this,":[114],"first":[116],"review":[117],"recent":[119],"called":[121],"Super-Efficient":[122],"Super":[123],"Resolution":[124],"(SESR)":[125],"[1]":[126],"that":[127,150,189],"achieves":[128,161,191],"similar":[129,202],"or":[130],"better":[131],"quality":[133],"than":[134,157,197],"prior":[135],"art":[136],"while":[137,200],"requiring":[138],"2":[139],"\u00d7":[140,143,194],"330":[142],"fewer":[144],"Multiply-Accumulate":[145],"(MAC)":[146],"operations.":[147],"We":[148],"demonstrate":[149],"despite":[151],"being":[152],"orders":[153],"magnitude":[155],"smaller":[156],"existing":[158],"models,":[159],"SESR":[160,190],"same":[163],"level":[164],"as":[167],"significantly":[168],"larger":[169],"networks.":[170],"Finally,":[171],"estimate":[173],"end-to-end":[174],"performance":[175],"resolution-based":[178],"commercial":[182],"Arm":[183],"Ethos-U55":[184],"micro-NPU.":[185],"Our":[186],"findings":[187],"show":[188],"nearly":[192],"3":[193],"higher":[195],"FPS":[196],"baseline":[199],"achieving":[201],"robustness.":[203]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
