{"id":"https://openalex.org/W4408352684","doi":"https://doi.org/10.1109/icassp49660.2025.10889294","title":"Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations","display_name":"Enhancing Robustness of Implicit Neural Representations Against Weight Perturbations","publication_year":2025,"publication_date":"2025-03-12","ids":{"openalex":"https://openalex.org/W4408352684","doi":"https://doi.org/10.1109/icassp49660.2025.10889294"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49660.2025.10889294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5067122458","display_name":"Wenyong Zhou","orcid":null},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Wenyong Zhou","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5103008691","display_name":"Yuxin Cheng","orcid":"https://orcid.org/0000-0002-6494-0101"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Yuxin Cheng","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009887780","display_name":"Zhengwu Liu","orcid":"https://orcid.org/0000-0001-7968-9469"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Zhengwu Liu","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074532565","display_name":"Taiqiang Wu","orcid":"https://orcid.org/0000-0002-3664-3513"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Taiqiang Wu","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100374139","display_name":"Chen Zhang","orcid":"https://orcid.org/0000-0002-8061-3741"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Chen Zhang","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072120057","display_name":"Ngai Wong","orcid":"https://orcid.org/0000-0002-3026-0108"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Ngai Wong","raw_affiliation_strings":["The University of Hong Kong,Department of EEE,Hong Kong SAR"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong,Department of EEE,Hong Kong SAR","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5067122458"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":8.2359,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.96723681,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10320","display_name":"Neural Networks and Applications","score":0.8934000134468079,"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/T10320","display_name":"Neural Networks and Applications","score":0.8934000134468079,"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 (evolution)","score":0.8229139447212219},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5980148911476135},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.47181379795074463},{"id":"https://openalex.org/keywords/control-theory","display_name":"Control theory (sociology)","score":0.3768708109855652},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.36341431736946106},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.06418418884277344}],"concepts":[{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.8229139447212219},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5980148911476135},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.47181379795074463},{"id":"https://openalex.org/C47446073","wikidata":"https://www.wikidata.org/wiki/Q5165890","display_name":"Control theory (sociology)","level":3,"score":0.3768708109855652},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.36341431736946106},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.06418418884277344},{"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/C2775924081","wikidata":"https://www.wikidata.org/wiki/Q55608371","display_name":"Control (management)","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49660.2025.10889294","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49660.2025.10889294","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2025 - 2025 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":27,"referenced_works":["https://openalex.org/W2589859332","https://openalex.org/W2924515500","https://openalex.org/W2963627347","https://openalex.org/W2963998105","https://openalex.org/W2989289980","https://openalex.org/W3001684375","https://openalex.org/W3109585842","https://openalex.org/W3185654221","https://openalex.org/W3203789000","https://openalex.org/W3215434375","https://openalex.org/W4212857656","https://openalex.org/W4224918283","https://openalex.org/W4283021596","https://openalex.org/W4312933730","https://openalex.org/W4386076276","https://openalex.org/W4386076471","https://openalex.org/W4390190370","https://openalex.org/W4402716363","https://openalex.org/W6677580257","https://openalex.org/W6758508162","https://openalex.org/W6763480078","https://openalex.org/W6779753539","https://openalex.org/W6780179280","https://openalex.org/W6796160537","https://openalex.org/W6810240983","https://openalex.org/W6838975845","https://openalex.org/W6867074328"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"Implicit":[0],"Neural":[1],"Representations":[2],"(INRs)":[3],"encode":[4],"discrete":[5],"signals":[6],"in":[7,69,84,140],"a":[8,27,100,136],"continuous":[9],"manner":[10],"using":[11],"neural":[12],"networks,":[13],"demonstrating":[14],"significant":[15],"value":[16],"across":[17,126],"various":[18],"multimedia":[19],"applications.":[20],"However,":[21],"the":[22,35,49,54,70,81,88,107,110,119],"vulnerability":[23],"of":[24,51,72,109],"INRs":[25,52,85,149],"presents":[26],"critical":[28],"challenge":[29],"for":[30,53],"their":[31],"real-world":[32],"deployments,":[33],"as":[34],"network":[36],"weights":[37],"might":[38],"be":[39],"subjected":[40],"to":[41,65,105,115,135,147],"unavoidable":[42],"perturbations.":[43,96],"In":[44],"this":[45,77],"work,":[46],"we":[47,79,98],"investigate":[48],"robustness":[50,82],"first":[55],"time":[56],"and":[57,93],"find":[58],"that":[59,130],"even":[60],"minor":[61],"perturbations":[62],"can":[63],"lead":[64],"substantial":[66],"performance":[67],"degradation":[68],"quality":[71],"signal":[73],"reconstruction.":[74],"To":[75],"mitigate":[76],"issue,":[78],"formulate":[80],"problem":[83],"by":[86],"minimizing":[87],"difference":[89],"between":[90],"loss":[91,103,112],"with":[92,113],"without":[94],"weight":[95],"Furthermore,":[97],"derive":[99],"novel":[101],"robust":[102],"function":[104],"regulate":[106],"gradient":[108],"reconstruction":[111,124],"respect":[114],"weights,":[116],"thereby":[117],"enhancing":[118],"robustness.":[120],"Extensive":[121],"experiments":[122],"on":[123],"tasks":[125],"multiple":[127],"modalities":[128],"demonstrate":[129],"our":[131],"method":[132],"achieves":[133],"up":[134],"7.5":[137],"dB":[138],"improvement":[139],"peak":[141],"signal-to-noise":[142],"ratio":[143],"(PSNR)":[144],"values":[145],"compared":[146],"original":[148],"under":[150],"noisy":[151],"conditions.":[152]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2}],"updated_date":"2026-03-12T08:34:05.389933","created_date":"2025-10-10T00:00:00"}