{"id":"https://openalex.org/W4389155072","doi":"https://doi.org/10.1145/3630050","title":"Proceedings of the 2023 on Explainable and Safety Bounded, Fidelitous, Machine Learning for Networking","display_name":"Proceedings of the 2023 on Explainable and Safety Bounded, Fidelitous, Machine Learning for Networking","publication_year":2023,"publication_date":"2023-11-30","ids":{"openalex":"https://openalex.org/W4389155072","doi":"https://doi.org/10.1145/3630050"},"language":"en","primary_location":{"id":"doi:10.1145/3630050","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3630050","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3630050?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},"type":"paratext","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://dl.acm.org/doi/pdf/10.1145/3630050?download=true","any_repository_has_fulltext":null},"authorships":[],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":true,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":true,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12127","display_name":"Software System Performance and Reliability","score":0.6841999888420105,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T12127","display_name":"Software System Performance and Reliability","score":0.6841999888420105,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.5856000185012817,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.5573999881744385,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.729802131652832},{"id":"https://openalex.org/keywords/enthusiasm","display_name":"Enthusiasm","score":0.5941622257232666},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.5888507962226868},{"id":"https://openalex.org/keywords/pleasure","display_name":"Pleasure","score":0.5280847549438477},{"id":"https://openalex.org/keywords/convergence","display_name":"Convergence (economics)","score":0.4739789366722107},{"id":"https://openalex.org/keywords/control","display_name":"Control (management)","score":0.4649431109428406},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4306972622871399},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.42298614978790283},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3213331401348114}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.729802131652832},{"id":"https://openalex.org/C2781354396","wikidata":"https://www.wikidata.org/wiki/Q840407","display_name":"Enthusiasm","level":2,"score":0.5941622257232666},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.5888507962226868},{"id":"https://openalex.org/C2777113389","wikidata":"https://www.wikidata.org/wiki/Q208195","display_name":"Pleasure","level":2,"score":0.5280847549438477},{"id":"https://openalex.org/C2777303404","wikidata":"https://www.wikidata.org/wiki/Q759757","display_name":"Convergence (economics)","level":2,"score":0.4739789366722107},{"id":"https://openalex.org/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.4649431109428406},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4306972622871399},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.42298614978790283},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3213331401348114},{"id":"https://openalex.org/C50522688","wikidata":"https://www.wikidata.org/wiki/Q189833","display_name":"Economic growth","level":1,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","level":1,"score":0.0},{"id":"https://openalex.org/C77805123","wikidata":"https://www.wikidata.org/wiki/Q161272","display_name":"Social psychology","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3630050","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3630050","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3630050?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"}],"best_oa_location":{"id":"doi:10.1145/3630050","is_oa":true,"landing_page_url":"http://dx.doi.org/10.1145/3630050","pdf_url":"https://dl.acm.org/doi/pdf/10.1145/3630050?download=true","source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":null,"raw_type":"proceedings"},"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.8100000023841858}],"awards":[{"id":"https://openalex.org/G2276189206","display_name":null,"funder_award_id":"SGS23/207/OHK3/3T/18","funder_id":"https://openalex.org/F4320309972","funder_display_name":"\u010cesk\u00e9 Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Praze"},{"id":"https://openalex.org/G5611503438","display_name":"Flow-based Encrypted Traffic Analysis","funder_award_id":"VJ02010024","funder_id":"https://openalex.org/F4320311333","funder_display_name":"Ministerstvo Vnitra \u010cesk\u00e9 Republiky"}],"funders":[{"id":"https://openalex.org/F4320309972","display_name":"\u010cesk\u00e9 Vysok\u00e9 U\u010den\u00ed Technick\u00e9 v Praze","ror":"https://ror.org/03kqpb082"},{"id":"https://openalex.org/F4320311333","display_name":"Ministerstvo Vnitra \u010cesk\u00e9 Republiky","ror":"https://ror.org/05w1nn565"},{"id":"https://openalex.org/F4320316137","display_name":"Universit\u00e9 de Lille","ror":"https://ror.org/02kzqn938"},{"id":"https://openalex.org/F4320319752","display_name":"Naval Group","ror":"https://ror.org/03rks9355"},{"id":"https://openalex.org/F4320331144","display_name":"Universit\u00e9 de Versailles Saint-Quentin-en-Yvelines","ror":"https://ror.org/03mkjjy25"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4389155072.pdf","grobid_xml":"https://content.openalex.org/works/W4389155072.grobid-xml"},"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W2151328441","https://openalex.org/W2392738674","https://openalex.org/W2390409831","https://openalex.org/W3018011161","https://openalex.org/W2356952453","https://openalex.org/W1553417351","https://openalex.org/W2399852854","https://openalex.org/W2367268653","https://openalex.org/W2808718538","https://openalex.org/W2351478009"],"abstract_inverted_index":{"WelcomeIt":[0],"is":[1,97,110,180,205,219,336],"with":[2,156],"great":[3],"pleasure":[4,41],"that":[5,80,207,234],"we":[6,78,158,208,225,266],"welcome":[7],"you":[8],"to":[9,28,42,117,128,160,170,210,277,301,312],"the":[10,31,44,50,73,81,89,198,228,232,237,262,306],"2023":[11],"ACM":[12],"CoNEXT":[13],"Workshop":[14],"on":[15],"'Explainable":[16],"and":[17,37,47,55,65,67,87,91,105,144,167,174,187,193,203,215,221,230,242,246,261,265,294,316,329],"Safety":[18,247],"Bounded,":[19,248],"Fidelitous,":[20,249],"Machine":[21,250],"Learning":[22],"for":[23,61,72,99,165,184,253,320],"Networking'":[24],"-SAFE'23.We":[25],"are":[26,70,126,134,223],"excited":[27],"be":[29,84,118,153,302],"hosting":[30],"first":[32],"edition":[33],"of":[34,52,75,93,200,239,270,305],"this":[35,177],"workshop,":[36],"it":[38],"brings":[39],"us":[40],"see":[43],"growing":[45],"interest":[46],"enthusiasm":[48],"surrounding":[49],"convergence":[51],"machine":[53,94,201,240],"learning":[54,57,95,202,241],"networking.Machine":[56],"offers":[58],"promising":[59],"solutions":[60,82,132],"network":[62,101,108,121],"optimization,":[63],"security,":[64,104],"management.Control":[66],"decision-making":[68],"algorithms":[69],"critical":[71,143],"operation":[74],"networks,":[76],"hence":[77],"believe":[79],"should":[83],"safety":[85],"bounded":[86],"interpretable.Understanding":[88],"decisions":[90],"behaviors":[92],"models":[96],"crucial":[98,113],"optimizing":[100],"performance,":[102],"enhancing":[103],"ensuring":[106],"reliable":[107],"operations.This":[109],"a":[111,142,181,268,303,309,338],"very":[112,154],"topic":[114],"which":[115,133],"needs":[116],"addressed,":[119],"as":[120],"operators,":[122],"managers":[123],"or":[124,149],"administrators":[125],"reluctant":[127],"use":[129],"ML":[130],"based":[131],"black":[135],"box":[136],"in":[137,176],"nature.The":[138],"production":[139],"networks":[140],"have":[141],"sensitive":[145],"nature,":[146],"where":[147,217],"outages":[148],"performance":[150],"degradations":[151],"can":[152,226],"costly.Thus,":[155],"SAFE'23":[157],"aim":[159],"create":[161],"an":[162],"engaging":[163],"platform":[164,183],"researchers":[166],"industry":[168,191],"experts":[169],"share":[171,291],"their":[172,297],"insights":[173,293],"experiences":[175,222],"emerging":[178],"field.It":[179],"pivotal":[182],"fostering":[185],"dialogue":[186],"collaboration":[188],"among":[189],"researchers,":[190],"experts,":[192],"all":[194,275],"those":[195],"passionate":[196],"about":[197],"intersection":[199],"networking.It":[204],"here":[206],"intend":[209],"build":[211],"bridges":[212],"between":[213],"theory":[214],"practice,":[216],"knowledge":[218],"exchanged,":[220],"shared.Together,":[224],"address":[227],"challenges":[229],"seize":[231],"opportunities":[233],"lie":[235],"at":[236,341],"crossroads":[238],"networking":[243],"through":[244],"Explainable":[245],"Learning.The":[251],"call":[252],"papers":[254],"attracted":[255],"submissions":[256],"from":[257],"Asia,":[258],"Canada,":[259],"Europe":[260],"United":[263],"States":[264],"accepted":[267],"total":[269],"4":[271],"papers.We":[272],"also":[273],"encourage":[274],"attendees":[276],"make":[278],"sure":[279],"they":[280],"do":[281],"not":[282],"miss":[283],"our":[284],"keynote":[285,288],"presentation.Our":[286],"distinguished":[287],"speaker":[289],"will":[290],"invaluable":[292],"draw":[295],"upon":[296],"extensive":[298],"experience.This":[299],"promises":[300],"highlight":[304],"event,":[307],"offering":[308],"unique":[310],"opportunity":[311],"gain":[313],"deep":[314],"understanding":[315],"inspiration:":[317],"The":[318],"Quest":[319],"Safe":[321],"Deep":[322],"Reinforcement":[323],"Learning-driven":[324],"Network":[325],"Slicing:":[326],"Progress,":[327],"Pitfalls":[328],"Potential":[330],"by":[331],"Yassine":[332],"Hadjadj":[333],"Aoul,":[334],"who":[335],"currently":[337],"Full":[339],"Professor":[340],"Univ":[342],"Rennes/":[343]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-03-10T14:07:55.174380","created_date":"2025-10-10T00:00:00"}