{"id":"https://openalex.org/W4294517337","doi":"https://doi.org/10.48550/arxiv.1712.09665","title":"Adversarial Patch","display_name":"Adversarial Patch","publication_year":2017,"publication_date":"2017-12-27","ids":{"openalex":"https://openalex.org/W4294517337","doi":"https://doi.org/10.48550/arxiv.1712.09665","mag":"2804566015"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:1712.09665","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.09665","pdf_url":"https://arxiv.org/pdf/1712.09665","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"},"volume":null,"type":"preprint","is_traditional":true,"indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1712.09665","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Brown, Tom B.","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Brown, Tom B.","raw_affiliation_strings":["Long Beach , CA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Long Beach , CA , USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104088352","display_name":"Dandelion Man\u00e9","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Man\u00e9, Dandelion","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110616102","display_name":"Aurko Roy","orcid":null,"observed_orcids":[]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Roy, Aurko","raw_affiliation_strings":["Long Beach , CA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Long Beach , CA , USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109387322","display_name":"Mart\u00edn Abadi","orcid":"https://orcid.org/0000-0001-9673-3476","observed_orcids":["https://orcid.org/0000-0001-9673-3476"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Abadi, Mart\u00edn","raw_affiliation_strings":["Long Beach , CA , USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Long Beach , CA , USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102853126","display_name":"Justin Gilmer","orcid":"https://orcid.org/0009-0003-4813-7874","observed_orcids":["https://orcid.org/0009-0003-4813-7874"]},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Gilmer, Justin","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1237,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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":0.9994999766349792,"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":0.00039999998989515007,"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/T11424","display_name":"Security and Verification in Computing","score":0.0,"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-patches","display_name":"adversarial patches","score":0.9769999980926514},{"id":"https://openalex.org/keywords/targeted-attacks","display_name":"targeted attacks","score":0.7429999709129333},{"id":"https://openalex.org/keywords/image-classification","display_name":"image classification","score":0.7089999914169312},{"id":"https://openalex.org/keywords/robustness","display_name":"robustness","score":0.49300000071525574},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"adversarial learning","score":0.7639999985694885},{"id":"https://openalex.org/keywords/image-classifiers","display_name":"image classifiers","score":0.3179999887943268}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9180134534835815},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.754235029220581},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6747446656227112},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6257988214492798},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.5472474098205566},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5243932604789734},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5087931752204895},{"id":"https://openalex.org/C2776760102","wikidata":"https://www.wikidata.org/wiki/Q5139990","display_name":"Code (set theory)","level":3,"score":0.4810360074043274},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4294176995754242},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39071783423423767},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.04896128177642822},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"pmh:oai:arXiv.org:1712.09665","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.09665","pdf_url":"https://arxiv.org/pdf/1712.09665","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:2804566015","doi":null,"is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1712.09665.pdf","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":"doi:10.48550/arxiv.1712.09665","doi":"https://doi.org/10.48550/arxiv.1712.09665","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1712.09665","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":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1712.09665","doi":null,"is_oa":true,"landing_page_url":"http://arxiv.org/abs/1712.09665","pdf_url":"https://arxiv.org/pdf/1712.09665","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":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4294517337.pdf","grobid_xml":"https://content.openalex.org/works/W4294517337.grobid-xml"},"referenced_works_count":14,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W2174868984","https://openalex.org/W2180612164","https://openalex.org/W2243397390","https://openalex.org/W2460937040","https://openalex.org/W2535873859","https://openalex.org/W2620038827","https://openalex.org/W2640329709","https://openalex.org/W2736899637","https://openalex.org/W2765424254","https://openalex.org/W2766972025","https://openalex.org/W2798302089","https://openalex.org/W2953047670","https://openalex.org/W2964153729"],"related_works":["https://openalex.org/W3189865072","https://openalex.org/W4297896551","https://openalex.org/W3107990944","https://openalex.org/W7062627593","https://openalex.org/W6922638211","https://openalex.org/W3193430514","https://openalex.org/W3027936100","https://openalex.org/W6959978418","https://openalex.org/W3021281443","https://openalex.org/W3215515227"],"abstract_inverted_index":{"We":[0],"present":[1],"a":[2,34,45,88],"method":[3],"to":[4,25,47,59,65,78],"create":[5],"universal,":[6],"robust,":[7],"targeted":[8,40],"adversarial":[9,53],"image":[10,66],"patches":[11,17,54,71],"in":[12,83],"the":[13,70,76,80,84,94,97],"real":[14],"world.":[15],"The":[16],"are":[18,72],"universal":[19],"because":[20,30,41],"they":[21,31,42,74],"can":[22,43,55],"be":[23,56],"used":[24],"attack":[26],"any":[27,49,60],"scene,":[28,61],"robust":[29],"work":[32],"under":[33],"wide":[35],"variety":[36],"of":[37],"transformations,":[38],"and":[39,63,86],"cause":[44,75],"classifier":[46],"output":[48],"target":[50,90],"class.":[51,91],"These":[52],"printed,":[57],"added":[58],"photographed,":[62],"presented":[64],"classifiers;":[67],"even":[68],"when":[69],"small,":[73],"classifiers":[77],"ignore":[79],"other":[81],"items":[82],"scene":[85],"report":[87],"chosen":[89],"To":[92],"reproduce":[93],"results":[95],"from":[96],"paper,":[98],"our":[99],"code":[100],"is":[101],"available":[102],"at":[103],"https://github.com/tensorflow/cleverhans/tree/master/examples/adversarial_patch":[104]},"counts_by_year":[{"year":2026,"cited_by_count":177},{"year":2025,"cited_by_count":131},{"year":2024,"cited_by_count":179},{"year":2023,"cited_by_count":187},{"year":2022,"cited_by_count":155},{"year":2021,"cited_by_count":160},{"year":2020,"cited_by_count":125},{"year":2019,"cited_by_count":84},{"year":2018,"cited_by_count":38},{"year":2017,"cited_by_count":1}],"updated_date":"2026-11-12T12:28:57.059296","created_date":"2022-09-03T00:00:00"}
