{"id":"https://openalex.org/W4399116433","doi":"https://doi.org/10.48550/arxiv.2405.17181","title":"Spectral regularization for adversarially-robust representation learning","display_name":"Spectral regularization for adversarially-robust representation learning","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4399116433","doi":"https://doi.org/10.48550/arxiv.2405.17181"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2405.17181","pdf_url":"https://arxiv.org/pdf/2405.17181","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},"type":"preprint","type_crossref":"posted-content","indexed_in":["arxiv"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2405.17181","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100616280","display_name":"Sheng Yang","orcid":"https://orcid.org/0009-0009-7581-4598"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yang, Sheng","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063822685","display_name":"Jacob A. Zavatone-Veth","orcid":"https://orcid.org/0000-0002-4060-1738"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zavatone-Veth, Jacob A.","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5023195984","display_name":"Cengiz Pehlevan","orcid":"https://orcid.org/0000-0001-9767-6063"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Pehlevan, Cengiz","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":83},"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 Machine Learning","score":0.9959,"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":0.9959,"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/T11609","display_name":"Geophysical Methods and Applications","score":0.9541,"subfield":{"id":"https://openalex.org/subfields/2212","display_name":"Ocean 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":0.9401,"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/regularization","display_name":"Regularization","score":0.65367913},{"id":"https://openalex.org/keywords/representation","display_name":"Representation","score":0.58673143}],"concepts":[{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.65367913},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.58673143},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.4570037},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.42889178},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.39714906},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.3750692},{"id":"https://openalex.org/C28826006","wikidata":"https://www.wikidata.org/wiki/Q33521","display_name":"Applied mathematics","level":1,"score":0.35604906},{"id":"https://openalex.org/C144237770","wikidata":"https://www.wikidata.org/wiki/Q747534","display_name":"Mathematical economics","level":1,"score":0.3541527},{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.32617313},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.14871144},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2405.17181","pdf_url":"https://arxiv.org/pdf/2405.17181","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}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2405.17181","pdf_url":"https://arxiv.org/pdf/2405.17181","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},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W4324271173","https://openalex.org/W4300427796","https://openalex.org/W4254199101","https://openalex.org/W2795079307","https://openalex.org/W2793058541","https://openalex.org/W2062195135","https://openalex.org/W2055929693","https://openalex.org/W1983629434","https://openalex.org/W1967645776","https://openalex.org/W1670153145"],"abstract_inverted_index":{"The":[0],"vulnerability":[1],"of":[2,20,132,145],"neural":[3],"network":[4,21,37],"classifiers":[5,146],"to":[6,13,28,78,164],"adversarial":[7,30,100,143,170],"attacks":[8],"is":[9,38,55,82,116],"a":[10,90],"major":[11],"obstacle":[12],"their":[14],"deployment":[15],"in":[16,50,102,119],"safety-critical":[17],"applications.":[18],"Regularization":[19],"parameters":[22,42],"during":[23],"training":[24,152],"can":[25],"be":[26,68],"used":[27],"improve":[29],"robustness":[31,101,124,144],"and":[32,123],"generalization":[33],"performance.":[34],"Usually,":[35],"the":[36,64,79,133,142],"regularized":[39],"end-to-end,":[40],"with":[41,150],"at":[43],"all":[44,130],"layers":[45,62,131],"affected":[46],"by":[47],"regularization.":[48],"However,":[49],"settings":[51],"where":[52],"learning":[53,60,96],"representations":[54,148],"key,":[56],"such":[57],"as":[58],"self-supervised":[59,151],"(SSL),":[61],"after":[63],"feature":[65,80],"representation":[66,95],"will":[67],"discarded":[69],"when":[70],"performing":[71],"inference.":[72],"For":[73],"these":[74],"models,":[75],"regularizing":[76],"up":[77],"space":[81],"more":[83,117],"suitable.":[84],"To":[85],"this":[86,114,139],"end,":[87],"we":[88,110],"propose":[89],"new":[91],"spectral":[92],"regularizer":[93],"for":[94],"that":[97,113,128,138],"encourages":[98],"black-box":[99],"downstream":[103],"classification":[104,108,157],"tasks.":[105],"In":[106,159],"supervised":[107],"settings,":[109],"show":[111,137],"empirically":[112],"method":[115,140],"effective":[118],"boosting":[120],"test":[121],"accuracy":[122],"than":[125],"previously-proposed":[126],"methods":[127],"regularize":[129],"network.":[134],"We":[135],"then":[136],"improves":[141],"using":[147],"learned":[149],"or":[153],"transferred":[154],"from":[155],"another":[156],"task.":[158],"all,":[160],"our":[161],"work":[162],"begins":[163],"unveil":[165],"how":[166],"representational":[167],"structure":[168],"affects":[169],"robustness.":[171]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4399116433","counts_by_year":[],"updated_date":"2025-01-08T23:56:20.687047","created_date":"2024-05-29"}