{"id":"https://openalex.org/W3015291605","doi":"https://doi.org/10.1109/icassp40776.2020.9053803","title":"Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks","display_name":"Accuracy-Robustness Trade-Off for Positively Weighted Neural Networks","publication_year":2020,"publication_date":"2020-04-09","ids":{"openalex":"https://openalex.org/W3015291605","doi":"https://doi.org/10.1109/icassp40776.2020.9053803","mag":"3015291605"},"language":"en","primary_location":{"id":"doi:10.1109/icassp40776.2020.9053803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5016527260","display_name":"Ana Neac\u015fu","orcid":"https://orcid.org/0000-0001-7731-1905"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":true,"raw_author_name":"Ana Neacsu","raw_affiliation_strings":["Speech and Dialogue Laboratory, University Politehnica of Bucharest, Bucharest, Romania","OPtimisation Imagerie et Sant\u00e9","Universit\u00e9 Politehnica [Bucarest, Roumanie]"],"affiliations":[{"raw_affiliation_string":"Speech and Dialogue Laboratory, University Politehnica of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"OPtimisation Imagerie et Sant\u00e9","institution_ids":[]},{"raw_affiliation_string":"Universit\u00e9 Politehnica [Bucarest, Roumanie]","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062845079","display_name":"Jean\u2010Christophe Pesquet","orcid":"https://orcid.org/0000-0002-5943-8061"},"institutions":[{"id":"https://openalex.org/I4210107720","display_name":"CentraleSup\u00e9lec","ror":"https://ror.org/019tcpt25","country_code":"FR","type":"facility","lineage":["https://openalex.org/I277688954","https://openalex.org/I4210107720"]},{"id":"https://openalex.org/I277688954","display_name":"Universit\u00e9 Paris-Saclay","ror":"https://ror.org/03xjwb503","country_code":"FR","type":"education","lineage":["https://openalex.org/I277688954"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jean-Christophe Pesquet","raw_affiliation_strings":["CentraleSup\u00e9lec, Inria Centre de Vision Num\u00e9rique, Universit\u00e9 Paris-Saclay, France","OPtimisation Imagerie et Sant\u00e9"],"affiliations":[{"raw_affiliation_string":"CentraleSup\u00e9lec, Inria Centre de Vision Num\u00e9rique, Universit\u00e9 Paris-Saclay, France","institution_ids":["https://openalex.org/I4210107720","https://openalex.org/I277688954"]},{"raw_affiliation_string":"OPtimisation Imagerie et Sant\u00e9","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5005992975","display_name":"Corneliu Burileanu","orcid":"https://orcid.org/0000-0003-1710-8010"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Corneliu Burileanu","raw_affiliation_strings":["Speech and Dialogue Laboratory, University Politehnica of Bucharest, Bucharest, Romania","Universit\u00e9 Politehnica [Bucarest, Roumanie]"],"affiliations":[{"raw_affiliation_string":"Speech and Dialogue Laboratory, University Politehnica of Bucharest, Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]},{"raw_affiliation_string":"Universit\u00e9 Politehnica [Bucarest, Roumanie]","institution_ids":["https://openalex.org/I61641377"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5016527260"],"corresponding_institution_ids":["https://openalex.org/I61641377"],"apc_list":null,"apc_paid":null,"fwci":0.6628,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.75034063,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"8389","last_page":"8393"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9979000091552734,"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":0.9979000091552734,"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/T10784","display_name":"Muscle activation and electromyography studies","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical 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/T10502","display_name":"Advanced Memory and Neural Computing","score":0.9868000149726868,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7835472822189331},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7546394467353821},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5385587811470032},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.516156792640686},{"id":"https://openalex.org/keywords/lipschitz-continuity","display_name":"Lipschitz continuity","score":0.5048320889472961},{"id":"https://openalex.org/keywords/feedforward-neural-network","display_name":"Feedforward neural network","score":0.4794268012046814},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.4685695171356201},{"id":"https://openalex.org/keywords/stochastic-gradient-descent","display_name":"Stochastic gradient descent","score":0.4563922584056854},{"id":"https://openalex.org/keywords/feed-forward","display_name":"Feed forward","score":0.412304162979126},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3421317934989929},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3282313942909241},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1579529047012329},{"id":"https://openalex.org/keywords/control-engineering","display_name":"Control engineering","score":0.11192363500595093},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10602489113807678}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7835472822189331},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7546394467353821},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5385587811470032},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.516156792640686},{"id":"https://openalex.org/C22324862","wikidata":"https://www.wikidata.org/wiki/Q652707","display_name":"Lipschitz continuity","level":2,"score":0.5048320889472961},{"id":"https://openalex.org/C47702885","wikidata":"https://www.wikidata.org/wiki/Q5441227","display_name":"Feedforward neural network","level":3,"score":0.4794268012046814},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4685695171356201},{"id":"https://openalex.org/C206688291","wikidata":"https://www.wikidata.org/wiki/Q7617819","display_name":"Stochastic gradient descent","level":3,"score":0.4563922584056854},{"id":"https://openalex.org/C38858127","wikidata":"https://www.wikidata.org/wiki/Q5441228","display_name":"Feed forward","level":2,"score":0.412304162979126},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3421317934989929},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3282313942909241},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1579529047012329},{"id":"https://openalex.org/C133731056","wikidata":"https://www.wikidata.org/wiki/Q4917288","display_name":"Control engineering","level":1,"score":0.11192363500595093},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10602489113807678},{"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},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/icassp40776.2020.9053803","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp40776.2020.9053803","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"},{"id":"pmh:oai:HAL:hal-03140282v1","is_oa":false,"landing_page_url":"https://hal.science/hal-03140282","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing, May 2020, Barcelona, France. pp.8389-8393, ⟨10.1109/ICASSP40776.2020.9053803⟩","raw_type":"Conference papers"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Partnerships for the goals","score":0.4300000071525574,"id":"https://metadata.un.org/sdg/17"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":37,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W1946620893","https://openalex.org/W2089884466","https://openalex.org/W2093522043","https://openalex.org/W2102134492","https://openalex.org/W2118429861","https://openalex.org/W2169931829","https://openalex.org/W2486441166","https://openalex.org/W2566138035","https://openalex.org/W2785678896","https://openalex.org/W2787799858","https://openalex.org/W2804900738","https://openalex.org/W2962847566","https://openalex.org/W2962851953","https://openalex.org/W2962879438","https://openalex.org/W2963207607","https://openalex.org/W2963389226","https://openalex.org/W2963836885","https://openalex.org/W2964153729","https://openalex.org/W2964294232","https://openalex.org/W2966148535","https://openalex.org/W2970620827","https://openalex.org/W3006592723","https://openalex.org/W3039780279","https://openalex.org/W4289293305","https://openalex.org/W4300167250","https://openalex.org/W4317466250","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6722479552","https://openalex.org/W6729756640","https://openalex.org/W6736987314","https://openalex.org/W6751889414","https://openalex.org/W6756052093","https://openalex.org/W6763711611","https://openalex.org/W6780450803"],"related_works":["https://openalex.org/W2947416323","https://openalex.org/W4288346661","https://openalex.org/W2115072676","https://openalex.org/W4206903459","https://openalex.org/W4311212821","https://openalex.org/W2754816816","https://openalex.org/W2045727192","https://openalex.org/W4366280654","https://openalex.org/W1529660427","https://openalex.org/W3160167280"],"abstract_inverted_index":{"This":[0],"work":[1],"proposes":[2],"a":[3,9,46,72,86,95,107],"new":[4],"learning":[5],"strategy":[6],"for":[7,76],"training":[8,61],"feedforward":[10],"neural":[11],"network":[12,31,75],"subject":[13],"to":[14,24,34,55],"spectral":[15],"norm":[16],"and":[17],"nonnegativity":[18],"constraints.":[19,101],"Our":[20],"primary":[21],"goal":[22],"is":[23,65],"control":[25],"the":[26,30,60,68,89],"Lipschitz":[27],"constant":[28,58],"of":[29,41,70],"in":[32,59,67,94],"order":[33],"make":[35],"it":[36],"robust":[37],"against":[38],"adversarial":[39],"perturbations":[40],"its":[42],"inputs.":[43],"We":[44,84],"propose":[45],"stochastic":[47],"projected":[48],"gradient":[49],"descent":[50],"algorithm":[51,64],"which":[52],"allows":[53],"us":[54],"adjust":[56],"this":[57],"process.":[62],"The":[63,102],"evaluated":[66],"context":[69],"designing":[71],"fully":[73],"connected":[74],"Automatic":[77],"Gesture":[78],"Recognition":[79],"based":[80],"on":[81],"EMG":[82],"signals.":[83],"perform":[85],"comparison":[87],"with":[88,99],"same":[90],"architecture":[91],"trained":[92],"either":[93],"standard":[96],"manner":[97],"or":[98],"simpler":[100],"obtained":[103],"results":[104],"highlight":[105],"that":[106],"good":[108],"accuracy-robustness":[109],"trade-off":[110],"can":[111],"be":[112],"achieved.":[113]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}