{"id":"https://openalex.org/W2900818629","doi":"https://doi.org/10.1145/3243734.3278486","title":"Spartan Networks","display_name":"Spartan Networks","publication_year":2018,"publication_date":"2018-10-15","ids":{"openalex":"https://openalex.org/W2900818629","doi":"https://doi.org/10.1145/3243734.3278486","mag":"2900818629"},"language":"en","primary_location":{"id":"doi:10.1145/3243734.3278486","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3243734.3278486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security","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/A5010736686","display_name":"Fran\u00e7ois Menet","orcid":null},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Fran\u00e7ois Menet","raw_affiliation_strings":["Polytechnique Montr\u00e9al, Montr\u00e9al, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"Polytechnique Montr\u00e9al, Montr\u00e9al, PQ, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5050125397","display_name":"Paul Berthier","orcid":null},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Paul Berthier","raw_affiliation_strings":["Polytechnique Montr\u00e9al, Montr\u00e9al, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"Polytechnique Montr\u00e9al, Montr\u00e9al, PQ, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060006763","display_name":"Michel Gagnon","orcid":"https://orcid.org/0000-0001-6158-9574"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Michel Gagnon","raw_affiliation_strings":["Polytechnique Montr\u00e9al, Montr\u00e9al, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"Polytechnique Montr\u00e9al, Montr\u00e9al, PQ, Canada","institution_ids":["https://openalex.org/I45683168"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067704386","display_name":"Jos\u00e9 M. Fernandez","orcid":"https://orcid.org/0000-0001-9836-3595"},"institutions":[{"id":"https://openalex.org/I45683168","display_name":"Polytechnique Montr\u00e9al","ror":"https://ror.org/05f8d4e86","country_code":"CA","type":"education","lineage":["https://openalex.org/I45683168"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Jos\u00e9 M. Fernandez","raw_affiliation_strings":["Polytechnique Montr\u00e9al, Montr\u00e9al, PQ, Canada"],"affiliations":[{"raw_affiliation_string":"Polytechnique Montr\u00e9al, Montr\u00e9al, PQ, Canada","institution_ids":["https://openalex.org/I45683168"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5010736686"],"corresponding_institution_ids":["https://openalex.org/I45683168"],"apc_list":null,"apc_paid":null,"fwci":0.5077,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74805812,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"2246","last_page":"2248"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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/T11515","display_name":"Bacillus and Francisella bacterial research","score":0.9675999879837036,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9624000191688538,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/computer-science","display_name":"Computer science","score":0.7907609939575195},{"id":"https://openalex.org/keywords/preprocessor","display_name":"Preprocessor","score":0.7620536684989929},{"id":"https://openalex.org/keywords/spartan","display_name":"Spartan","score":0.7519688606262207},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.723797619342804},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6671936511993408},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6196328997612},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6119527816772461},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5482922792434692},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4236186742782593},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41753190755844116}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7907609939575195},{"id":"https://openalex.org/C34736171","wikidata":"https://www.wikidata.org/wiki/Q918333","display_name":"Preprocessor","level":2,"score":0.7620536684989929},{"id":"https://openalex.org/C10689553","wikidata":"https://www.wikidata.org/wiki/Q405953","display_name":"Spartan","level":3,"score":0.7519688606262207},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.723797619342804},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6671936511993408},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6196328997612},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6119527816772461},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5482922792434692},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4236186742782593},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41753190755844116},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C42935608","wikidata":"https://www.wikidata.org/wiki/Q190411","display_name":"Field-programmable gate array","level":2,"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C9390403","wikidata":"https://www.wikidata.org/wiki/Q3966","display_name":"Computer hardware","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1145/3243734.3278486","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3243734.3278486","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security","raw_type":"proceedings-article"},{"id":"pmh:oai:publications.polymtl.ca:42245","is_oa":false,"landing_page_url":"https://publications.polymtl.ca/42245/","pdf_url":null,"source":{"id":"https://openalex.org/S4306401013","display_name":"PolyPublie (\u00c9cole Polytechnique de Montr\u00e9al)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I45683168","host_organization_name":"Polytechnique Montr\u00e9al","host_organization_lineage":["https://openalex.org/I45683168"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"Communication de conf\u00e9rence"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":8,"referenced_works":["https://openalex.org/W1945616565","https://openalex.org/W2319920447","https://openalex.org/W2597490979","https://openalex.org/W2618043096","https://openalex.org/W2786118190","https://openalex.org/W2951972811","https://openalex.org/W2963249138","https://openalex.org/W2964153729"],"related_works":["https://openalex.org/W3105849702","https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W4383221314","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480"],"abstract_inverted_index":{"Deep":[0,23],"Learning":[1,24],"Models":[2],"are":[3,27],"vulnerable":[4],"to":[5,12,31,56,67,76],"adversarial":[6,44,50],"inputs,":[7],"samples":[8],"modified":[9],"in":[10],"order":[11],"maximize":[13],"error":[14],"of":[15,40,60,80],"the":[16,41,53,58,73],"system.":[17],"We":[18],"hereby":[19],"introduce":[20],"Spartan":[21],"Networks,":[22],"models":[25,84],"that":[26],"inherently":[28],"more":[29],"resistant":[30],"adverarial":[32],"examples,":[33],"without":[34],"doing":[35],"any":[36],"input":[37],"preprocessing":[38],"out":[39],"network":[42,54,59,75],"or":[43],"training.":[45],"These":[46,83],"networks":[47],"have":[48,86],"an":[49],"layer":[51,71],"within":[52],"designed":[55],"starve":[57],"information,":[61],"using":[62],"a":[63,87,93],"new":[64],"activation":[65],"function":[66],"discard":[68],"data.":[69],"This":[70],"trains":[72],"neural":[74],"filter-out":[77],"usually-irrelevant":[78],"parts":[79],"its":[81],"input.":[82],"thus":[85],"slightly":[88],"lower":[89],"precision,":[90],"but":[91],"report":[92],"higher":[94],"robustness":[95],"under":[96],"attack":[97],"than":[98],"unprotected":[99],"models.":[100]},"counts_by_year":[{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2018-11-29T00:00:00"}
