{"id":"https://openalex.org/W4388117502","doi":"https://doi.org/10.23919/eusipco58844.2023.10290092","title":"Test-Time Adversarial Detection and Robustness for Localizing Humans Using Ultra Wide Band Channel Impulse Responses","display_name":"Test-Time Adversarial Detection and Robustness for Localizing Humans Using Ultra Wide Band Channel Impulse Responses","publication_year":2023,"publication_date":"2023-09-04","ids":{"openalex":"https://openalex.org/W4388117502","doi":"https://doi.org/10.23919/eusipco58844.2023.10290092"},"language":"en","primary_location":{"id":"doi:10.23919/eusipco58844.2023.10290092","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/eusipco58844.2023.10290092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","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/A5110704473","display_name":"Abhiram Kolli","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":true,"raw_author_name":"Abhiram Kolli","raw_affiliation_strings":["Institute of Computer Graphics and Vision, Graz University of Technology,Austria","Institute of Computer Graphics and Vision, Graz University of Technology, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology,Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5113181018","display_name":"M. Jehanzeb Mirza","orcid":null},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Muhammad Jehanzeb Mirza","raw_affiliation_strings":["Institute of Computer Graphics and Vision, Graz University of Technology,Austria","Institute of Computer Graphics and Vision, Graz University of Technology, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology,Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039382695","display_name":"Horst Possegger","orcid":"https://orcid.org/0000-0002-5427-9938"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Horst Possegger","raw_affiliation_strings":["Institute of Computer Graphics and Vision, Graz University of Technology,Austria","Institute of Computer Graphics and Vision, Graz University of Technology, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology,Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011359067","display_name":"Horst Bischof","orcid":"https://orcid.org/0000-0002-9096-6671"},"institutions":[{"id":"https://openalex.org/I4092182","display_name":"Graz University of Technology","ror":"https://ror.org/00d7xrm67","country_code":"AT","type":"education","lineage":["https://openalex.org/I4092182"]}],"countries":["AT"],"is_corresponding":false,"raw_author_name":"Horst Bischof","raw_affiliation_strings":["Institute of Computer Graphics and Vision, Graz University of Technology,Austria","Institute of Computer Graphics and Vision, Graz University of Technology, Austria"],"affiliations":[{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology,Austria","institution_ids":["https://openalex.org/I4092182"]},{"raw_affiliation_string":"Institute of Computer Graphics and Vision, Graz University of Technology, Austria","institution_ids":["https://openalex.org/I4092182"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5110704473"],"corresponding_institution_ids":["https://openalex.org/I4092182"],"apc_list":null,"apc_paid":null,"fwci":0.1748,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.57185563,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1365","last_page":"1369"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9639000296592712,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9553999900817871,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8462216854095459},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.702637255191803},{"id":"https://openalex.org/keywords/softmax-function","display_name":"Softmax function","score":0.6508505344390869},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6239311099052429},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5137956738471985},{"id":"https://openalex.org/keywords/iterative-method","display_name":"Iterative method","score":0.4380580186843872},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.43772023916244507},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.43026283383369446},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3499593734741211}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8462216854095459},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.702637255191803},{"id":"https://openalex.org/C188441871","wikidata":"https://www.wikidata.org/wiki/Q7554146","display_name":"Softmax function","level":3,"score":0.6508505344390869},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6239311099052429},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5137956738471985},{"id":"https://openalex.org/C159694833","wikidata":"https://www.wikidata.org/wiki/Q2321565","display_name":"Iterative method","level":2,"score":0.4380580186843872},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.43772023916244507},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.43026283383369446},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3499593734741211},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/eusipco58844.2023.10290092","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/eusipco58844.2023.10290092","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 31st European Signal Processing Conference (EUSIPCO)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G2555251067","display_name":null,"funder_award_id":"880598","funder_id":"https://openalex.org/F4320323031","funder_display_name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft"}],"funders":[{"id":"https://openalex.org/F4320323031","display_name":"\u00d6sterreichische Forschungsf\u00f6rderungsgesellschaft","ror":"https://ror.org/028jc0449"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W2243397390","https://openalex.org/W2350778671","https://openalex.org/W2791953061","https://openalex.org/W2962759300","https://openalex.org/W2997532515","https://openalex.org/W3034190247","https://openalex.org/W3035616549","https://openalex.org/W3042135962","https://openalex.org/W3092171228","https://openalex.org/W3130405705","https://openalex.org/W3143848010","https://openalex.org/W3150450875","https://openalex.org/W3160387314","https://openalex.org/W3171103165","https://openalex.org/W3173972934","https://openalex.org/W3191453585","https://openalex.org/W3200261204","https://openalex.org/W3214538500","https://openalex.org/W4221148050","https://openalex.org/W4229030717","https://openalex.org/W4280605483","https://openalex.org/W4288363925","https://openalex.org/W4293846201","https://openalex.org/W4367171947","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6739868092","https://openalex.org/W6744679260","https://openalex.org/W6748965907","https://openalex.org/W6761100157","https://openalex.org/W6780154528","https://openalex.org/W6783953417","https://openalex.org/W6790221796","https://openalex.org/W6795030921","https://openalex.org/W6797013558","https://openalex.org/W6803640674","https://openalex.org/W6804174699","https://openalex.org/W6810311068","https://openalex.org/W6838695150"],"related_works":["https://openalex.org/W3107204728","https://openalex.org/W4287591324","https://openalex.org/W4226420367","https://openalex.org/W2980176872","https://openalex.org/W2962876041","https://openalex.org/W3090555870","https://openalex.org/W3108503355","https://openalex.org/W2249953602","https://openalex.org/W2801655600","https://openalex.org/W3170224572"],"abstract_inverted_index":{"Keyless":[0],"entry":[1],"systems":[2,19],"in":[3,67],"cars":[4],"are":[5],"adopting":[6],"neural":[7,56],"networks":[8],"for":[9,99,107],"localizing":[10],"its":[11],"operators.":[12],"Using":[13,84],"test-time":[14,37],"adversarial":[15,26,32,38,45,93,121],"defences":[16],"equip":[17],"such":[18],"with":[20],"the":[21,43,49,71,76,100,109,114],"ability":[22],"to":[23,69,120],"defend":[24],"against":[25],"attacks":[27],"without":[28],"prior":[29],"training":[30],"on":[31],"samples.":[33],"We":[34],"propose":[35],"a":[36,54],"example":[39,46],"detector":[40],"which":[41],"detects":[42],"input":[44,81],"through":[47],"quantifying":[48],"localized":[50],"intermediate":[51],"responses":[52],"of":[53,61,92],"pretrained":[55],"network":[57,72],"and":[58,105,113],"confidence":[59],"scores":[60],"an":[62],"auxiliary":[63],"softmax":[64],"layer.":[65],"Furthermore,":[66],"order":[68],"make":[70],"robust,":[73],"we":[74],"extenuate":[75],"non-relevant":[77],"features":[78],"by":[79,97],"non-iterative":[80],"sample":[82],"clipping.":[83],"our":[85],"approach,":[86],"mean":[87],"performance":[88],"over":[89],"15":[90],"levels":[91],"perturbations":[94],"is":[95],"increased":[96],"53.3%":[98],"fast":[101],"gradient":[102,116],"sign":[103],"method":[104,112,117],"60.9%":[106],"both":[108],"basic":[110],"iterative":[111],"projected":[115],"when":[118],"compared":[119],"training.":[122]},"counts_by_year":[{"year":2024,"cited_by_count":1}],"updated_date":"2025-12-25T23:11:45.687758","created_date":"2025-10-10T00:00:00"}