{"id":"https://openalex.org/W4387800780","doi":"https://doi.org/10.48550/arxiv.2310.11890","title":"IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks","display_name":"IRAD: Implicit Representation-driven Image Resampling against Adversarial Attacks","publication_year":2023,"publication_date":"2023-01-01","ids":{"openalex":"https://openalex.org/W4387800780","doi":"https://doi.org/10.48550/arxiv.2310.11890"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2310.11890","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/abs/2310.11890","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5006794082","display_name":"Yue Cao","orcid":"https://orcid.org/0000-0002-2098-7637"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Yue","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101674538","display_name":"Tianlin Li","orcid":"https://orcid.org/0000-0002-2207-1622"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Li, Tianlin","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043782065","display_name":"Xiaofeng Cao","orcid":"https://orcid.org/0000-0002-7391-0334"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Cao, Xiaofeng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021751767","display_name":"Ivor W. Tsang","orcid":"https://orcid.org/0000-0001-8095-4637"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Tsang, Ivor","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100355692","display_name":"Yang Liu","orcid":"https://orcid.org/0000-0001-7300-9215"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Liu, Yang","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5046141922","display_name":"Qing Guo","orcid":"https://orcid.org/0000-0003-4209-5469"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guo, Qing","raw_affiliation_strings":[],"affiliations":[]}],"institution_assertions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":0,"max":69},"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Deep Learning Models","score":0.9926,"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 Deep Learning Models","score":0.9926,"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/T11105","display_name":"Single Image Super-Resolution Techniques","score":0.9679,"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/T10775","display_name":"Generative Adversarial Networks in Image Processing","score":0.9649,"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/resampling","display_name":"Resampling","score":0.86493003},{"id":"https://openalex.org/keywords/image-inpainting","display_name":"Image Inpainting","score":0.621332},{"id":"https://openalex.org/keywords/image-scaling","display_name":"Image scaling","score":0.59239256},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.58195937},{"id":"https://openalex.org/keywords/representation-learning","display_name":"Representation Learning","score":0.566234},{"id":"https://openalex.org/keywords/sparse-representations","display_name":"Sparse Representations","score":0.565235},{"id":"https://openalex.org/keywords/image-synthesis","display_name":"Image Synthesis","score":0.549861},{"id":"https://openalex.org/keywords/adversarial-examples","display_name":"Adversarial Examples","score":0.54728},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5395666}],"concepts":[{"id":"https://openalex.org/C150921843","wikidata":"https://www.wikidata.org/wiki/Q1170431","display_name":"Resampling","level":2,"score":0.86493003},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.77299905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6939639},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.60750425},{"id":"https://openalex.org/C27405340","wikidata":"https://www.wikidata.org/wiki/Q440296","display_name":"Image scaling","level":4,"score":0.59239256},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.58195937},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5395666},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.53373545},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.42751205},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4123335},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.32918257},{"id":"https://openalex.org/C9417928","wikidata":"https://www.wikidata.org/wiki/Q1070689","display_name":"Image processing","level":3,"score":0.25081515},{"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/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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}],"mesh":[],"locations_count":3,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2310.11890","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2310.11890","pdf_url":"http://arxiv.org/pdf/2310.11890","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":false,"landing_page_url":"https://api.datacite.org/dois/10.48550/arxiv.2310.11890","pdf_url":null,"source":{"id":"https://openalex.org/S4393179698","display_name":"DataCite API","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I4210145204","host_organization_name":"DataCite","host_organization_lineage":["https://openalex.org/I4210145204"],"host_organization_lineage_names":["DataCite"],"type":"metadata"},"license":null,"license_id":null,"version":null}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2310.11890","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":["Cornell University"],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4287115361","https://openalex.org/W3176659669","https://openalex.org/W3143641931","https://openalex.org/W2571578418","https://openalex.org/W2348128823","https://openalex.org/W2141570343","https://openalex.org/W2131348497","https://openalex.org/W2078311349","https://openalex.org/W2008372001","https://openalex.org/W1999419034"],"abstract_inverted_index":{"We":[0,86,136],"introduce":[1,169],"a":[2,15,19,33,74,163],"novel":[3],"approach":[4,188],"to":[5,81,143,157,180,189],"counter":[6],"adversarial":[7,51,66,84,110,131,214],"attacks,":[8],"namely,":[9],"image":[10,17,44,79,140,161],"resampling.":[11],"Image":[12],"resampling":[13,45,80,90,141,177],"transforms":[14],"discrete":[16],"into":[18],"new":[20],"one,":[21],"simulating":[22],"the":[23,48,118,126,190,213],"process":[24],"of":[25,50,120,216],"scene":[26],"recapturing":[27],"or":[28],"rerendering":[29],"as":[30],"specified":[31],"by":[32],"geometrical":[34],"transformation.":[35],"The":[36],"underlying":[37],"rationale":[38],"behind":[39],"our":[40,187,209],"idea":[41],"is":[42,133],"that":[43,92,103,154,208],"can":[46,107,185],"alleviate":[47],"influence":[49],"perturbations":[52],"while":[53,125,200,223],"preserving":[54,201],"essential":[55],"semantic":[56],"information,":[57],"thereby":[58],"conferring":[59],"an":[60,150],"inherent":[61],"advantage":[62],"in":[63,128,178],"defending":[64],"against":[65,83,220],"attacks.":[67,85,111],"To":[68],"validate":[69],"this":[70],"concept,":[71],"we":[72,148,168,184],"present":[73],"comprehensive":[75],"study":[76],"on":[77,130,227],"leveraging":[78],"defend":[82],"have":[87],"developed":[88],"basic":[89,105],"methods":[91,106],"employ":[93],"interpolation":[94],"strategies":[95],"and":[96],"coordinate":[97,165],"shifting":[98],"magnitudes.":[99],"Our":[100],"analysis":[101],"reveals":[102],"these":[104,145],"partially":[108],"mitigate":[109],"However,":[112],"they":[113],"come":[114],"with":[115,196],"apparent":[116],"limitations:":[117],"accuracy":[119,129,226],"clean":[121,228],"images":[122],"noticeably":[123],"decreases,":[124],"improvement":[127],"examples":[132],"not":[134],"substantial.":[135],"propose":[137],"implicit":[138,151],"representation-driven":[139],"(IRAD)":[142],"overcome":[144],"limitations.":[146],"First,":[147],"construct":[149],"continuous":[152,164],"representation":[153],"enables":[155],"us":[156],"represent":[158],"any":[159],"input":[160],"within":[162],"space.":[166],"Second,":[167],"SampleNet,":[170],"which":[171],"automatically":[172],"generates":[173],"pixel-wise":[174],"shifts":[175],"for":[176],"response":[179],"different":[181],"inputs.":[182],"Furthermore,":[183],"extend":[186],"state-of-the-art":[191],"diffusion-based":[192],"method,":[193],"accelerating":[194],"it":[195],"fewer":[197],"time":[198],"steps":[199],"its":[202],"defense":[203],"capability.":[204],"Extensive":[205],"experiments":[206],"demonstrate":[207],"method":[210],"significantly":[211],"enhances":[212],"robustness":[215],"diverse":[217],"deep":[218],"models":[219],"various":[221],"attacks":[222],"maintaining":[224],"high":[225],"images.":[229]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4387800780","counts_by_year":[],"updated_date":"2024-11-22T08:03:20.004197","created_date":"2023-10-21"}