{"id":"https://openalex.org/W3088670320","doi":"https://doi.org/10.1109/dsmp47368.2020.9204251","title":"Geometric Properties of Adversarial Images","display_name":"Geometric Properties of Adversarial Images","publication_year":2020,"publication_date":"2020-08-01","ids":{"openalex":"https://openalex.org/W3088670320","doi":"https://doi.org/10.1109/dsmp47368.2020.9204251","mag":"3088670320"},"language":"en","primary_location":{"id":"doi:10.1109/dsmp47368.2020.9204251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp47368.2020.9204251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP)","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/A5034539291","display_name":"Bogdan Ivanyuk-Skulskiy","orcid":null},"institutions":[{"id":"https://openalex.org/I112412981","display_name":"National University of Kyiv Mohyla Academy","ror":"https://ror.org/03wfca816","country_code":"UA","type":"education","lineage":["https://openalex.org/I112412981"]}],"countries":["UA"],"is_corresponding":true,"raw_author_name":"Bogdan Ivanyuk-Skulskiy","raw_affiliation_strings":["National University of Kyiv-Mohyla Academy, Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"National University of Kyiv-Mohyla Academy, Kyiv, Ukraine","institution_ids":["https://openalex.org/I112412981"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069178665","display_name":"Galyna Kriukova","orcid":"https://orcid.org/0000-0002-5558-0976"},"institutions":[{"id":"https://openalex.org/I112412981","display_name":"National University of Kyiv Mohyla Academy","ror":"https://ror.org/03wfca816","country_code":"UA","type":"education","lineage":["https://openalex.org/I112412981"]}],"countries":["UA"],"is_corresponding":false,"raw_author_name":"Galyna Kriukova","raw_affiliation_strings":["National University of Kyiv-Mohyla Academy, Kyiv, Ukraine"],"affiliations":[{"raw_affiliation_string":"National University of Kyiv-Mohyla Academy, Kyiv, Ukraine","institution_ids":["https://openalex.org/I112412981"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5080280125","display_name":"Andrii Dmytryshyn","orcid":"https://orcid.org/0000-0001-9110-6182"},"institutions":[{"id":"https://openalex.org/I26437253","display_name":"\u00d6rebro University","ror":"https://ror.org/05kytsw45","country_code":"SE","type":"education","lineage":["https://openalex.org/I26437253"]}],"countries":["SE"],"is_corresponding":false,"raw_author_name":"Andrii Dmytryshyn","raw_affiliation_strings":["School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden"],"affiliations":[{"raw_affiliation_string":"School of Science and Technology, \u00d6rebro University, \u00d6rebro, Sweden","institution_ids":["https://openalex.org/I26437253"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5034539291"],"corresponding_institution_ids":["https://openalex.org/I112412981"],"apc_list":null,"apc_paid":null,"fwci":0.1326,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.54786992,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"abs 1312 6199","issue":null,"first_page":"227","last_page":"230"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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":0.9997000098228455,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9800000190734863,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.9449999928474426,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.9297941327095032},{"id":"https://openalex.org/keywords/centroid","display_name":"Centroid","score":0.7501802444458008},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6242004632949829},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.5870158672332764},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5695480108261108},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5579923391342163},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.5169731974601746},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4044913649559021},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34703949093818665},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3335224986076355},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2601572275161743},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.12120497226715088}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9297941327095032},{"id":"https://openalex.org/C146599234","wikidata":"https://www.wikidata.org/wiki/Q511093","display_name":"Centroid","level":2,"score":0.7501802444458008},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6242004632949829},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.5870158672332764},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5695480108261108},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5579923391342163},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.5169731974601746},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4044913649559021},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34703949093818665},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3335224986076355},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2601572275161743},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.12120497226715088}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/dsmp47368.2020.9204251","is_oa":false,"landing_page_url":"https://doi.org/10.1109/dsmp47368.2020.9204251","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Third International Conference on Data Stream Mining & Processing (DSMP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1834627138","https://openalex.org/W1932198206","https://openalex.org/W1945616565","https://openalex.org/W2099471712","https://openalex.org/W2112796928","https://openalex.org/W2173520492","https://openalex.org/W2180612164","https://openalex.org/W2408141691","https://openalex.org/W2561975083","https://openalex.org/W2590523583","https://openalex.org/W2787708942","https://openalex.org/W2810611310","https://openalex.org/W2886189420","https://openalex.org/W2961301154","https://openalex.org/W2963143631","https://openalex.org/W2963158386","https://openalex.org/W2963207607","https://openalex.org/W2963564844","https://openalex.org/W2963684088","https://openalex.org/W2964082701","https://openalex.org/W2964153729","https://openalex.org/W4211047985","https://openalex.org/W4297573953","https://openalex.org/W4320013936","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6685352114","https://openalex.org/W6714069269","https://openalex.org/W6733645847","https://openalex.org/W6747819456","https://openalex.org/W6748475379","https://openalex.org/W6752931940","https://openalex.org/W6765536919"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"models":[2],"are":[3,14,20,104],"now":[4],"widely":[5],"used":[6],"in":[7],"a":[8,37,42,61,77,85],"variety":[9],"of":[10,49,79,93],"tasks.":[11],"However,":[12],"they":[13],"vulnerable":[15],"to":[16,25,40,81,106],"adversarial":[17,50,65,94],"perturbations.":[18],"These":[19],"slight,":[21],"intentionally":[22],"worst-case,":[23],"modifications":[24],"input":[26],"that":[27],"change":[28],"the":[29,82,101,108],"model's":[30],"prediction":[31],"with":[32,68],"high":[33],"confidence,":[34],"without":[35],"causing":[36],"human":[38],"eye":[39],"spot":[41],"difference":[43],"from":[44],"real":[45],"samples.":[46],"The":[47,91],"detection":[48,67,96],"samples":[51],"is":[52,74,97],"an":[53],"open":[54],"problem.":[55],"In":[56],"this":[57],"work,":[58],"we":[59],"explore":[60],"novel":[62],"method":[63,73,92],"towards":[64],"image":[66],"linear":[69],"algebra":[70],"approach.":[71,109],"This":[72],"built":[75],"on":[76],"comparison":[78],"distances":[80],"centroids":[83],"for":[84],"given":[86],"point":[87],"and":[88,100],"its":[89],"neighbors.":[90],"examples":[95],"explained":[98],"theoretically,":[99],"numerical":[102],"experiments":[103],"done":[105],"illustrate":[107]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}