{"id":"https://openalex.org/W7128364183","doi":"https://doi.org/10.5281/zenodo.18552847","title":"Building Safe & Resource Efficient NN through architectural collapse","display_name":"Building Safe & Resource Efficient NN through architectural collapse","publication_year":2026,"publication_date":"2026-02-09","ids":{"openalex":"https://openalex.org/W7128364183","doi":"https://doi.org/10.5281/zenodo.18552847"},"language":"en","primary_location":{"id":"doi:10.5281/zenodo.18552847","doi":"https://doi.org/10.5281/zenodo.18552847","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.18552847","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"volume":null,"type":"article","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.5281/zenodo.18552847","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5094155795","display_name":"Jamil Gafur","orcid":"https://orcid.org/0000-0002-1364-1662","observed_orcids":["https://orcid.org/0000-0002-1364-1662"]},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Gafur, Jamil","raw_affiliation_strings":[],"raw_orcid":"https://orcid.org/0000-0002-1364-1662","affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":["https://openalex.org/A5094155795"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0749778,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10036","display_name":"Advanced Neural Network Applications","score":0.8208000063896179,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T10036","display_name":"Advanced Neural Network Applications","score":0.8208000063896179,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.17659999430179596,"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/T12535","display_name":"Machine Learning and Data Classification","score":0.0005000000237487257,"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/convolutional-neural-networks","display_name":"convolutional neural networks","score":0.7950000166893005},{"id":"https://openalex.org/keywords/inference-latency-reduction","display_name":"inference latency reduction","score":0.7429999709129333},{"id":"https://openalex.org/keywords/memory-efficiency","display_name":"memory efficiency","score":0.6639999747276306},{"id":"https://openalex.org/keywords/transferable-adversarial-examples","display_name":"transferable adversarial examples","score":0.9229999780654907},{"id":"https://openalex.org/keywords/black-box-adversarial-attacks","display_name":"black-box adversarial attacks","score":0.7409999966621399},{"id":"https://openalex.org/keywords/robustness-metrics","display_name":"robustness metrics","score":0.7929999828338623},{"id":"https://openalex.org/keywords/explainable-ai","display_name":"explainable AI","score":0.9089999794960022},{"id":"https://openalex.org/keywords/model-security","display_name":"model security","score":0.5640000104904175}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7257000207901001},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6207000017166138},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.5590000152587891},{"id":"https://openalex.org/C2776214188","wikidata":"https://www.wikidata.org/wiki/Q408386","display_name":"Inference","level":2,"score":0.5497000217437744},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.4950000047683716},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4251999855041504},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.42080000042915344},{"id":"https://openalex.org/C85617194","wikidata":"https://www.wikidata.org/wiki/Q2072794","display_name":"Particle swarm optimization","level":2,"score":0.4171999990940094},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.4138000011444092},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.40939998626708984},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4027000069618225},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3765999972820282},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.3653999865055084},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.3610999882221222},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.35929998755455017},{"id":"https://openalex.org/C113775141","wikidata":"https://www.wikidata.org/wiki/Q428691","display_name":"Computer engineering","level":1,"score":0.3582000136375427},{"id":"https://openalex.org/C45374587","wikidata":"https://www.wikidata.org/wiki/Q12525525","display_name":"Computation","level":2,"score":0.34459999203681946},{"id":"https://openalex.org/C82876162","wikidata":"https://www.wikidata.org/wiki/Q17096504","display_name":"Latency (audio)","level":2,"score":0.30809998512268066},{"id":"https://openalex.org/C200601418","wikidata":"https://www.wikidata.org/wiki/Q2193887","display_name":"Reliability engineering","level":1,"score":0.2906999886035919},{"id":"https://openalex.org/C111335779","wikidata":"https://www.wikidata.org/wiki/Q3454686","display_name":"Reduction (mathematics)","level":2,"score":0.28949999809265137},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.28839999437332153},{"id":"https://openalex.org/C177774035","wikidata":"https://www.wikidata.org/wiki/Q1246948","display_name":"Granularity","level":2,"score":0.2827000021934509},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.26510000228881836},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.26269999146461487},{"id":"https://openalex.org/C2781067378","wikidata":"https://www.wikidata.org/wiki/Q17027399","display_name":"Interpretability","level":2,"score":0.2517000138759613}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.5281/zenodo.18552847","doi":"https://doi.org/10.5281/zenodo.18552847","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.18552847","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"},{"id":"doi:10.5281/zenodo.18552848","doi":"https://doi.org/10.5281/zenodo.18552848","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.18552848","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"doi:10.5281/zenodo.18552847","doi":"https://doi.org/10.5281/zenodo.18552847","is_oa":true,"landing_page_url":"https://doi.org/10.5281/zenodo.18552847","pdf_url":null,"source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"listed_in":[],"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":[],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"article-journal"},"sustainable_development_goals":[],"sustainable_development_goals_aurora":[{"score":0.5485912561416626,"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8"}],"study_designs":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Modern":[0],"Convolutional":[1],"Neural":[2],"Networks":[3],"(CNNs)":[4],"often":[5],"suffer":[6],"from":[7],"depth":[8,51],"redundancy,":[9],"where":[10],"sequential":[11,58],"layers":[12],"increase":[13,61],"inference":[14],"latency":[15],"and":[16,40,60,116,128,138],"memory":[17],"usage":[18],"without":[19],"significantly":[20],"improving":[21],"accuracy.":[22],"To":[23],"address":[24],"this,":[25],"we":[26],"introduce":[27],"Layer-by-Layer":[28],"Structural":[29],"Reduction":[30],"(LBL),":[31],"a":[32,44,91,123],"post-hoc":[33],"methodology":[34],"that":[35,95,133],"identifies":[36],"contiguous":[37],"layer":[38],"blocks":[39],"collapses":[41],"them":[42],"into":[43],"single,":[45],"lightweight":[46],"surrogate":[47],"module.":[48],"By":[49],"targeting":[50],"redundancy":[52],"directly,":[53],"LBL":[54,65],"aims":[55],"to":[56,100,140],"reduce":[57],"operations":[59],"hardware":[62],"efficiency.":[63],"While":[64],"streamlines":[66],"networks":[67],"for":[68,126],"deployment,":[69],"ensuring":[70],"these":[71],"resource-efficient":[72],"models":[73],"remain":[74],"secure":[75],"is":[76],"critical.":[77],"We":[78],"are":[79,134],"working":[80],"on":[81],"evaluating":[82],"model":[83],"resilience":[84],"using":[85],"Adversarial":[86],"Particle":[87],"Swarm":[88],"Optimization":[89],"(APSO),":[90],"data-agnostic,":[92],"black-box":[93],"framework":[94],"generates":[96],"transferable":[97],"adversarial":[98],"examples":[99],"probe":[101],"cross-model":[102],"vulnerabilities.":[103],"This":[104],"ongoing":[105],"work":[106],"investigates":[107],"how":[108],"combining":[109],"structural":[110],"collapse":[111],"with":[112],"reproducible":[113],"robustness":[114],"metrics":[115],"Explainable":[117],"AI":[118],"(XAI)":[119],"diagnostics":[120],"can":[121],"establish":[122],"unified":[124],"paradigm":[125],"building":[127],"validating":[129],"deep":[130],"learning":[131],"systems":[132],"both":[135],"computationally":[136],"efficient":[137],"resilient":[139],"inference-time":[141],"poisoning.":[142]},"counts_by_year":[],"updated_date":"2026-10-13T10:08:12.033832","created_date":"2026-02-10T00:00:00"}