{"id":"https://openalex.org/W4361200094","doi":"https://doi.org/10.23919/icact56868.2023.10079519","title":"Linear Leakage: Better Robustness for Spiking Neural Network","display_name":"Linear Leakage: Better Robustness for Spiking Neural Network","publication_year":2023,"publication_date":"2023-02-19","ids":{"openalex":"https://openalex.org/W4361200094","doi":"https://doi.org/10.23919/icact56868.2023.10079519"},"language":"en","primary_location":{"id":"doi:10.23919/icact56868.2023.10079519","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact56868.2023.10079519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","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/A5032328513","display_name":"Jinming Che","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Jinming Che","raw_affiliation_strings":["Peking University,School of Software &#x0026; Microelectronics,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Software &#x0026; Microelectronics,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058767221","display_name":"Jian Cao","orcid":"https://orcid.org/0000-0002-4724-7065"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jian Cao","raw_affiliation_strings":["Peking University,School of Software &#x0026; Microelectronics,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Software &#x0026; Microelectronics,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101759507","display_name":"Shuo Feng","orcid":null},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuo Feng","raw_affiliation_strings":["Peking University,School of Software &#x0026; Microelectronics,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Software &#x0026; Microelectronics,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100686867","display_name":"Jue Chen","orcid":"https://orcid.org/0000-0003-2075-4283"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jue Chen","raw_affiliation_strings":["Peking University,School of Software &#x0026; Microelectronics,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Software &#x0026; Microelectronics,China","institution_ids":["https://openalex.org/I20231570"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002438548","display_name":"Yuan Wang","orcid":"https://orcid.org/0000-0002-4951-4286"},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuan Wang","raw_affiliation_strings":["Peking University,School of Software &#x0026; Microelectronics,China"],"affiliations":[{"raw_affiliation_string":"Peking University,School of Software &#x0026; Microelectronics,China","institution_ids":["https://openalex.org/I20231570"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5032328513"],"corresponding_institution_ids":["https://openalex.org/I20231570"],"apc_list":null,"apc_paid":null,"fwci":0.2836,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.51905283,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"417","last_page":"423"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T10502","display_name":"Advanced Memory and Neural Computing","score":1.0,"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"}},{"id":"https://openalex.org/T12808","display_name":"Ferroelectric and Negative Capacitance Devices","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10581","display_name":"Neural dynamics and brain function","score":0.9993000030517578,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mnist-database","display_name":"MNIST database","score":0.8426678776741028},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7723135948181152},{"id":"https://openalex.org/keywords/leakage","display_name":"Leakage (economics)","score":0.700351893901825},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6475135087966919},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5711224675178528},{"id":"https://openalex.org/keywords/spiking-neural-network","display_name":"Spiking neural network","score":0.5067291855812073},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.46438276767730713},{"id":"https://openalex.org/keywords/chemistry","display_name":"Chemistry","score":0.08042019605636597}],"concepts":[{"id":"https://openalex.org/C190502265","wikidata":"https://www.wikidata.org/wiki/Q17069496","display_name":"MNIST database","level":3,"score":0.8426678776741028},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7723135948181152},{"id":"https://openalex.org/C2777042071","wikidata":"https://www.wikidata.org/wiki/Q6509304","display_name":"Leakage (economics)","level":2,"score":0.700351893901825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6475135087966919},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5711224675178528},{"id":"https://openalex.org/C11731999","wikidata":"https://www.wikidata.org/wiki/Q9067355","display_name":"Spiking neural network","level":3,"score":0.5067291855812073},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.46438276767730713},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.08042019605636597},{"id":"https://openalex.org/C139719470","wikidata":"https://www.wikidata.org/wiki/Q39680","display_name":"Macroeconomics","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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.23919/icact56868.2023.10079519","is_oa":false,"landing_page_url":"https://doi.org/10.23919/icact56868.2023.10079519","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 25th International Conference on Advanced Communication Technology (ICACT)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Affordable and clean energy","score":0.8600000143051147,"id":"https://metadata.un.org/sdg/7"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W949243424","https://openalex.org/W1512746852","https://openalex.org/W1645800954","https://openalex.org/W1963689209","https://openalex.org/W2115831804","https://openalex.org/W2522002261","https://openalex.org/W2562377059","https://openalex.org/W2621826044","https://openalex.org/W2892077605","https://openalex.org/W2945789436","https://openalex.org/W2964304804","https://openalex.org/W2978279179","https://openalex.org/W2987441303","https://openalex.org/W3005346446","https://openalex.org/W3093729901","https://openalex.org/W3102750118","https://openalex.org/W3127251144","https://openalex.org/W3187007027","https://openalex.org/W3190686567","https://openalex.org/W6730823560"],"related_works":["https://openalex.org/W4281699635","https://openalex.org/W4321472116","https://openalex.org/W3202619090","https://openalex.org/W3102040318","https://openalex.org/W4287724471","https://openalex.org/W3214713078","https://openalex.org/W2786930404","https://openalex.org/W3035000326","https://openalex.org/W2944910788","https://openalex.org/W3041589219"],"abstract_inverted_index":{"As":[0],"the":[1,10,21,58,70,77,81,101,104,124,136,152],"third-generation":[2],"neural":[3],"networks,":[4],"Spiking":[5],"Neural":[6],"Networks":[7],"(SNNs)":[8],"have":[9],"potential":[11],"to":[12,20,108,135],"replace":[13],"ANNs":[14],"in":[15,92,128],"noisy":[16],"input":[17],"scenarios":[18],"due":[19],"advantages":[22],"of":[23,45,48,57,60,103,155,158],"low":[24],"power":[25],"consumption":[26],"and":[27,62,74,88,116,138],"high":[28],"robustness.":[29],"In":[30],"this":[31,51,96,129],"paper,":[32],"we":[33],"propose":[34],"a":[35,145],"method":[36,107,127],"that":[37,123],"uses":[38],"linear":[39,71,93,105,125],"leakage":[40,72,82,106,126,140],"on":[41,65,69,100,114],"Leaky-integrate-fire":[42],"(LIF)":[43],"neurons":[44,67],"direct":[46],"training":[47],"SNNs.":[49,159],"First,":[50],"paper":[52,97,130],"provides":[53,144],"an":[54],"in-depth":[55],"analysis":[56],"process":[59],"integrating":[61],"firing":[63],"spikes":[64],"LIF":[66,156],"based":[68,113],"method,":[73],"finally":[75],"demonstrates":[76],"inverse":[78],"relationship":[79],"between":[80],"parameters":[83],"\u03c4":[84],"<inf":[85],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[86],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">m</inf>":[87],"spiking":[89],"rate":[90],"(1/T)":[91],"leakage.":[94],"Second,":[95],"designs":[98],"experiments":[99],"application":[102],"three":[109],"different":[110],"network":[111],"models":[112,157],"MNIST":[115],"Cifar10":[117],"datasets.":[118],"The":[119],"experimental":[120],"results":[121],"show":[122],"has":[131],"stronger":[132],"robustness":[133],"compared":[134],"no-leakage":[137],"exponential":[139],"approaches.":[141],"This":[142],"finding":[143],"new":[146],"idea":[147],"with":[148],"practical":[149],"significance":[150],"for":[151],"further":[153],"study":[154]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}