{"id":"https://openalex.org/W3129925441","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892788","title":"Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks","display_name":"Resilience of Bayesian Layer-Wise Explanations under Adversarial Attacks","publication_year":2022,"publication_date":"2022-07-18","ids":{"openalex":"https://openalex.org/W3129925441","doi":"https://doi.org/10.1109/ijcnn55064.2022.9892788","mag":"3129925441"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn55064.2022.9892788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892788","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5062861547","display_name":"Ginevra Carbone","orcid":"https://orcid.org/0000-0001-7532-6249"},"institutions":[{"id":"https://openalex.org/I142444530","display_name":"University of Trieste","ror":"https://ror.org/02n742c10","country_code":"IT","type":"education","lineage":["https://openalex.org/I142444530"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Ginevra Carbone","raw_affiliation_strings":["University of Trieste,Dept. of Mathematics and Geosciences,Trieste,Italy","Dept. of Mathematics and Geosciences, University of Trieste, Trieste, Italy"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trieste,Dept. of Mathematics and Geosciences,Trieste,Italy","institution_ids":["https://openalex.org/I142444530"]},{"raw_affiliation_string":"Dept. of Mathematics and Geosciences, University of Trieste, Trieste, Italy","institution_ids":["https://openalex.org/I142444530"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5060744592","display_name":"Luca Bortolussi","orcid":"https://orcid.org/0000-0001-8874-4001"},"institutions":[{"id":"https://openalex.org/I142444530","display_name":"University of Trieste","ror":"https://ror.org/02n742c10","country_code":"IT","type":"education","lineage":["https://openalex.org/I142444530"]},{"id":"https://openalex.org/I91712215","display_name":"Saarland University","ror":"https://ror.org/01jdpyv68","country_code":"DE","type":"education","lineage":["https://openalex.org/I91712215"]}],"countries":["DE","IT"],"is_corresponding":false,"raw_author_name":"Luca Bortolussi","raw_affiliation_strings":["University of Trieste,Dept. of Mathematics and Geosciences,Trieste,Italy","Dept. of Mathematics and Geosciences, University of Trieste, Trieste, Italy","Modeling and Simulation Group, Saarland University, Saarland, Germany"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Trieste,Dept. of Mathematics and Geosciences,Trieste,Italy","institution_ids":["https://openalex.org/I142444530"]},{"raw_affiliation_string":"Dept. of Mathematics and Geosciences, University of Trieste, Trieste, Italy","institution_ids":["https://openalex.org/I142444530"]},{"raw_affiliation_string":"Modeling and Simulation Group, Saarland University, Saarland, Germany","institution_ids":["https://openalex.org/I91712215"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017674487","display_name":"Guido Sanguinetti","orcid":"https://orcid.org/0000-0002-6663-8336"},"institutions":[{"id":"https://openalex.org/I138549579","display_name":"Scuola Internazionale Superiore di Studi Avanzati","ror":"https://ror.org/004fze387","country_code":"IT","type":"education","lineage":["https://openalex.org/I138549579"]},{"id":"https://openalex.org/I98677209","display_name":"University of Edinburgh","ror":"https://ror.org/01nrxwf90","country_code":"GB","type":"education","lineage":["https://openalex.org/I98677209"]}],"countries":["GB","IT"],"is_corresponding":false,"raw_author_name":"Guido Sanguinetti","raw_affiliation_strings":["School of Informatics, University of Edinburgh,Edinburgh,United Kingdom","Machine Learning and Systems Biology group, SISSA, Trieste, Italy","School of Informatics, University of Edinburgh, Edinburgh, United Kingdom"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Informatics, University of Edinburgh,Edinburgh,United Kingdom","institution_ids":["https://openalex.org/I98677209"]},{"raw_affiliation_string":"Machine Learning and Systems Biology group, SISSA, Trieste, Italy","institution_ids":["https://openalex.org/I138549579"]},{"raw_affiliation_string":"School of Informatics, University of Edinburgh, Edinburgh, United Kingdom","institution_ids":["https://openalex.org/I98677209"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.5061,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.604626,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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":0.9997000098228455,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9993000030517578,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9617999792098999,"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/adversarial-system","display_name":"Adversarial system","score":0.8381515741348267},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.675098717212677},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6499321460723877},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.6102985739707947},{"id":"https://openalex.org/keywords/bayesian-probability","display_name":"Bayesian probability","score":0.6038877964019775},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5909073948860168},{"id":"https://openalex.org/keywords/resilience","display_name":"Resilience (materials science)","score":0.5507059693336487},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5387047529220581},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5176749229431152},{"id":"https://openalex.org/keywords/layer","display_name":"Layer (electronics)","score":0.46102601289749146},{"id":"https://openalex.org/keywords/manifold","display_name":"Manifold (fluid mechanics)","score":0.4197227358818054},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.41815200448036194},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.06456536054611206}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8381515741348267},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.675098717212677},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6499321460723877},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.6102985739707947},{"id":"https://openalex.org/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","level":2,"score":0.6038877964019775},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5909073948860168},{"id":"https://openalex.org/C2779585090","wikidata":"https://www.wikidata.org/wiki/Q3457762","display_name":"Resilience (materials science)","level":2,"score":0.5507059693336487},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5387047529220581},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5176749229431152},{"id":"https://openalex.org/C2779227376","wikidata":"https://www.wikidata.org/wiki/Q6505497","display_name":"Layer (electronics)","level":2,"score":0.46102601289749146},{"id":"https://openalex.org/C529865628","wikidata":"https://www.wikidata.org/wiki/Q1790740","display_name":"Manifold (fluid mechanics)","level":2,"score":0.4197227358818054},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.41815200448036194},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.06456536054611206},{"id":"https://openalex.org/C78519656","wikidata":"https://www.wikidata.org/wiki/Q101333","display_name":"Mechanical engineering","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C97355855","wikidata":"https://www.wikidata.org/wiki/Q11473","display_name":"Thermodynamics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn55064.2022.9892788","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn55064.2022.9892788","pdf_url":null,"source":{"id":"https://openalex.org/S4363607707","display_name":"2022 International Joint Conference on Neural Networks (IJCNN)","issn_l":"2161-4407","issn":["2161-4407"],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.5699999928474426}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":85,"referenced_works":["https://openalex.org/W582134693","https://openalex.org/W621546036","https://openalex.org/W1557324374","https://openalex.org/W1787224781","https://openalex.org/W1945616565","https://openalex.org/W2056760934","https://openalex.org/W2108598243","https://openalex.org/W2120340025","https://openalex.org/W2130416410","https://openalex.org/W2138309709","https://openalex.org/W2195388612","https://openalex.org/W2240067561","https://openalex.org/W2460937040","https://openalex.org/W2516809705","https://openalex.org/W2594633041","https://openalex.org/W2605409611","https://openalex.org/W2750384547","https://openalex.org/W2768346313","https://openalex.org/W2792388013","https://openalex.org/W2798986185","https://openalex.org/W2805390961","https://openalex.org/W2809671526","https://openalex.org/W2891503716","https://openalex.org/W2892080902","https://openalex.org/W2899790086","https://openalex.org/W2913039310","https://openalex.org/W2951306478","https://openalex.org/W2951885001","https://openalex.org/W2954040150","https://openalex.org/W2962698540","https://openalex.org/W2962772482","https://openalex.org/W2962843949","https://openalex.org/W2962851944","https://openalex.org/W2962862931","https://openalex.org/W2963095610","https://openalex.org/W2963207607","https://openalex.org/W2964059111","https://openalex.org/W2970658946","https://openalex.org/W2971201880","https://openalex.org/W2971552255","https://openalex.org/W2973136764","https://openalex.org/W2979200397","https://openalex.org/W3006315234","https://openalex.org/W3022179901","https://openalex.org/W3034669169","https://openalex.org/W3034720383","https://openalex.org/W3035615001","https://openalex.org/W3036652698","https://openalex.org/W3104243605","https://openalex.org/W3107107689","https://openalex.org/W3167225238","https://openalex.org/W3176203033","https://openalex.org/W4214577052","https://openalex.org/W4287870652","https://openalex.org/W4288623528","https://openalex.org/W4293846201","https://openalex.org/W4297730691","https://openalex.org/W4300511536","https://openalex.org/W4322825329","https://openalex.org/W6617145748","https://openalex.org/W6640425456","https://openalex.org/W6685133223","https://openalex.org/W6719080892","https://openalex.org/W6731701471","https://openalex.org/W6734194636","https://openalex.org/W6736518430","https://openalex.org/W6737947904","https://openalex.org/W6739868092","https://openalex.org/W6742795373","https://openalex.org/W6743688258","https://openalex.org/W6748724315","https://openalex.org/W6749731802","https://openalex.org/W6751739117","https://openalex.org/W6756001544","https://openalex.org/W6756943956","https://openalex.org/W6758853676","https://openalex.org/W6762929394","https://openalex.org/W6764249507","https://openalex.org/W6767808572","https://openalex.org/W6773496015","https://openalex.org/W6773684732","https://openalex.org/W6779169211","https://openalex.org/W6779823587","https://openalex.org/W6780031681","https://openalex.org/W6797384066"],"related_works":["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/W2997056298","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W3127875750"],"abstract_inverted_index":{"We":[0,45],"consider":[1],"the":[2,5,32,42,63,71,89,92,98,101,108,111,133],"problem":[3],"of":[4,7,10,23,62,83,88,91,100,103,107,114,142],"stability":[6,99],"saliency-based":[8],"explanations":[9],"Neural":[11,25,53,143],"Network":[12,144],"predictions":[13],"under":[14,59,67],"adversarial":[15,60,130],"attacks":[16,33,37,69],"in":[17,86,110,123],"a":[18,80,115],"classification":[19,43],"task.":[20],"Saliency":[21],"interpretations":[22,49,102],"deterministic":[24],"Networks":[26,54],"are":[27,55],"remarkably":[28],"brittle":[29],"even":[30,66],"when":[31],"fail,":[34],"i.e.":[35],"for":[36],"that":[38,48,120],"do":[39],"not":[40],"change":[41],"label.":[44],"empirically":[46],"show":[47],"provided":[50],"by":[51],"Bayesian":[52,121],"considerably":[56],"more":[57,127,137],"stable":[58,138],"perturbations":[61],"inputs":[64,109],"and":[65,139],"direct":[68],"to":[70,125,129,135],"explanations.":[72],"By":[73],"leveraging":[74],"recent":[75],"results,":[76],"we":[77,96],"also":[78],"provide":[79,136],"theoretical":[81],"explanation":[82],"this":[84],"result":[85],"terms":[87],"geometry":[90],"data":[93],"manifold.":[94],"Additionally,":[95],"discuss":[97],"high":[104],"level":[105],"representations":[106],"internal":[112],"layers":[113],"Network.":[116],"Our":[117],"results":[118],"demonstrate":[119],"methods,":[122],"addition":[124],"being":[126],"robust":[128],"attacks,":[131],"have":[132],"potential":[134],"interpretable":[140],"assessments":[141],"predictions.":[145]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}