{"id":"https://openalex.org/W4403322293","doi":"https://doi.org/10.48550/arxiv.2410.03952","title":"A Brain-Inspired Regularizer for Adversarial Robustness","display_name":"A Brain-Inspired Regularizer for Adversarial Robustness","publication_year":2024,"publication_date":"2024-10-04","ids":{"openalex":"https://openalex.org/W4403322293","doi":"https://doi.org/10.48550/arxiv.2410.03952"},"language":"en","primary_location":{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.03952","pdf_url":"http://arxiv.org/pdf/2410.03952","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":"http://arxiv.org/pdf/2410.03952","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5109022079","display_name":"Elie Attias","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Attias, Elie","raw_affiliation_strings":[],"affiliations":[]},{"author_position":"middle","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":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5052436085","display_name":"Dina Obeid","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Obeid, Dina","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":84},"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":0.9956,"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":0.9956,"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/T10876","display_name":"Fault Detection and Control Systems","score":0.9503,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems 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":0.9385,"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/robustness","display_name":"Robustness","score":0.7182965}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7548287},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7182965},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.56408066},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.56183},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.10601094},{"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}],"mesh":[],"locations_count":1,"locations":[{"is_oa":true,"landing_page_url":"http://arxiv.org/abs/2410.03952","pdf_url":"http://arxiv.org/pdf/2410.03952","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":"http://arxiv.org/abs/2410.03952","pdf_url":"http://arxiv.org/pdf/2410.03952","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/W4391375266","https://openalex.org/W4310988119","https://openalex.org/W4297672492","https://openalex.org/W4246396837","https://openalex.org/W3191453585","https://openalex.org/W3126451824","https://openalex.org/W2748952813","https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W1561927205"],"abstract_inverted_index":{"Convolutional":[0],"Neural":[1],"Networks":[2],"(CNNs)":[3],"excel":[4],"in":[5,28,102],"many":[6],"visual":[7],"tasks,":[8],"but":[9,142],"they":[10],"tend":[11],"to":[12,15,22,53,67,107,166,198],"be":[13,196],"sensitive":[14],"slight":[16],"input":[17],"perturbations":[18],"that":[19,34,39,70,135,157],"are":[20],"imperceptible":[21],"the":[23,51,59,72,79,86,137,140,150,200],"human":[24],"eye,":[25],"often":[26],"resulting":[27],"task":[29],"failures.":[30],"Recent":[31],"studies":[32],"indicate":[33],"training":[35],"CNNs":[36],"with":[37,123],"regularizers":[38,69,77],"promote":[40],"brain-like":[41],"representations,":[42],"using":[43,145],"neural":[44,55,76,82,99,115,153,204],"recordings,":[45,83],"can":[46,195],"improve":[47],"model":[48,164],"robustness.":[49],"However,":[50],"requirement":[52],"use":[54],"data":[56],"severely":[57],"restricts":[58],"utility":[60],"of":[61,75,90,139,169,202],"these":[62,91],"methods.":[63],"Is":[64],"it":[65],"possible":[66],"develop":[68],"mimic":[71],"computational":[73],"function":[74],"without":[78],"need":[80,151],"for":[81,152],"thereby":[84],"expanding":[85],"usability":[87],"and":[88,176,181],"effectiveness":[89],"techniques?":[92],"In":[93],"this":[94,128],"work,":[95],"we":[96,119,130],"inspect":[97],"a":[98,132,167],"regularizer":[100,113,134],"introduced":[101],"Li":[103],"et":[104],"al.":[105],"(2019)":[106],"extract":[108],"its":[109],"underlying":[110],"strength.":[111],"The":[112],"uses":[114],"representational":[116],"similarities,":[117,148],"which":[118],"find":[120],"also":[121],"correlate":[122],"pixel":[124,147],"similarities.":[125],"Motivated":[126],"by":[127],"finding,":[129],"introduce":[131],"new":[133],"retains":[136],"essence":[138],"original":[141,185],"is":[143,178],"computed":[144],"image":[146],"eliminating":[149],"recordings.":[154],"We":[155],"show":[156],"our":[158],"regularization":[159],"method":[160],"1)":[161],"significantly":[162],"increases":[163],"robustness":[165],"range":[168],"black":[170],"box":[171],"attacks":[172],"on":[173,184],"various":[174],"datasets":[175],"2)":[177],"computationally":[179],"inexpensive":[180],"relies":[182],"only":[183],"datasets.":[186],"Our":[187],"work":[188],"explores":[189],"how":[190],"biologically":[191],"motivated":[192],"loss":[193],"functions":[194],"used":[197],"drive":[199],"performance":[201],"artificial":[203],"networks.":[205]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W4403322293","counts_by_year":[],"updated_date":"2024-12-15T07:35:54.816166","created_date":"2024-10-12"}