{"id":"https://openalex.org/W4372260346","doi":"https://doi.org/10.1109/icassp49357.2023.10097188","title":"Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations","display_name":"Interpretation of Neural Networks is Susceptible to Universal Adversarial Perturbations","publication_year":2023,"publication_date":"2023-05-05","ids":{"openalex":"https://openalex.org/W4372260346","doi":"https://doi.org/10.1109/icassp49357.2023.10097188"},"language":"en","primary_location":{"id":"doi:10.1109/icassp49357.2023.10097188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 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/A5080949321","display_name":"Haniyeh Ehsani Oskouie","orcid":null},"institutions":[{"id":"https://openalex.org/I133529467","display_name":"Sharif University of Technology","ror":"https://ror.org/024c2fq17","country_code":"IR","type":"education","lineage":["https://openalex.org/I133529467"]}],"countries":["IR"],"is_corresponding":true,"raw_author_name":"Haniyeh Ehsani Oskouie","raw_affiliation_strings":["Sharif University of Technology,Department of Computer Engineering","Department of Computer Engineering, Sharif University of Technology"],"affiliations":[{"raw_affiliation_string":"Sharif University of Technology,Department of Computer Engineering","institution_ids":["https://openalex.org/I133529467"]},{"raw_affiliation_string":"Department of Computer Engineering, Sharif University of Technology","institution_ids":["https://openalex.org/I133529467"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5017160178","display_name":"Farzan Farnia","orcid":"https://orcid.org/0000-0002-6049-9232"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"CN","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Farzan Farnia","raw_affiliation_strings":["The Chinese University of Hong Kong,Department of Computer Science &#x0026; Engineering"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong,Department of Computer Science &#x0026; Engineering","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5080949321"],"corresponding_institution_ids":["https://openalex.org/I133529467"],"apc_list":null,"apc_paid":null,"fwci":1.0474,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.80502912,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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":0.98089998960495,"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/T11307","display_name":"Domain Adaptation and Few-Shot Learning","score":0.9710000157356262,"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/computer-science","display_name":"Computer science","score":0.6954521536827087},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6645247936248779},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6213151812553406},{"id":"https://openalex.org/keywords/bounded-function","display_name":"Bounded function","score":0.589097797870636},{"id":"https://openalex.org/keywords/interpretation","display_name":"Interpretation (philosophy)","score":0.545914888381958},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5338906645774841},{"id":"https://openalex.org/keywords/principal-component-analysis","display_name":"Principal component analysis","score":0.48914435505867004},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4780452847480774},{"id":"https://openalex.org/keywords/norm","display_name":"Norm (philosophy)","score":0.4596722722053528},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.43852102756500244},{"id":"https://openalex.org/keywords/contextual-image-classification","display_name":"Contextual image classification","score":0.43534138798713684},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.41309237480163574},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3938448429107666},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18039214611053467}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6954521536827087},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6645247936248779},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6213151812553406},{"id":"https://openalex.org/C34388435","wikidata":"https://www.wikidata.org/wiki/Q2267362","display_name":"Bounded function","level":2,"score":0.589097797870636},{"id":"https://openalex.org/C527412718","wikidata":"https://www.wikidata.org/wiki/Q855395","display_name":"Interpretation (philosophy)","level":2,"score":0.545914888381958},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5338906645774841},{"id":"https://openalex.org/C27438332","wikidata":"https://www.wikidata.org/wiki/Q2873","display_name":"Principal component analysis","level":2,"score":0.48914435505867004},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4780452847480774},{"id":"https://openalex.org/C191795146","wikidata":"https://www.wikidata.org/wiki/Q3878446","display_name":"Norm (philosophy)","level":2,"score":0.4596722722053528},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.43852102756500244},{"id":"https://openalex.org/C75294576","wikidata":"https://www.wikidata.org/wiki/Q5165192","display_name":"Contextual image classification","level":3,"score":0.43534138798713684},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41309237480163574},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3938448429107666},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18039214611053467},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp49357.2023.10097188","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp49357.2023.10097188","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2023 - 2023 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1019830208","https://openalex.org/W1673923490","https://openalex.org/W1686810756","https://openalex.org/W1945616565","https://openalex.org/W2091432990","https://openalex.org/W2108598243","https://openalex.org/W2150165932","https://openalex.org/W2543927648","https://openalex.org/W2618530766","https://openalex.org/W2913039310","https://openalex.org/W2917779306","https://openalex.org/W2962843949","https://openalex.org/W2962851944","https://openalex.org/W2963165363","https://openalex.org/W2963809642","https://openalex.org/W2963855547","https://openalex.org/W2997502936","https://openalex.org/W3009106687","https://openalex.org/W3015958938","https://openalex.org/W3118608800","https://openalex.org/W3162258435","https://openalex.org/W4224918372","https://openalex.org/W4297775537","https://openalex.org/W4372260346","https://openalex.org/W6637162671","https://openalex.org/W6637373629","https://openalex.org/W6640425456","https://openalex.org/W6681608319","https://openalex.org/W6685133223","https://openalex.org/W6737664043","https://openalex.org/W6743771705","https://openalex.org/W6758853676","https://openalex.org/W6774108941","https://openalex.org/W6787972765","https://openalex.org/W6847315186"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W2482350142","https://openalex.org/W4246396837","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W4297672492","https://openalex.org/W4310988119","https://openalex.org/W4285226279","https://openalex.org/W4288019534"],"abstract_inverted_index":{"Interpreting":[0],"neural":[1,107,145],"network":[2],"classifiers":[3],"using":[4,60],"gradient-based":[5,40,103,124,147],"saliency":[6],"maps":[7],"has":[8],"been":[9],"extensively":[10],"studied":[11],"in":[12,26,71],"the":[13,18,36,61,86,154],"deep":[14],"learning":[15],"literature.":[16],"While":[17],"existing":[19],"algorithms":[20],"manage":[21],"to":[22,28,43,73,136,167],"achieve":[23],"satisfactory":[24],"performance":[25],"application":[27,72],"standard":[29,96,168],"image":[30,97,169],"recognition":[31],"datasets,":[32,98],"recent":[33],"works":[34],"demonstrate":[35],"vulnerability":[37],"of":[38,63,88,106,113,163],"widely-used":[39],"interpretation":[41,148],"schemes":[42],"norm-bounded":[44],"perturbations":[45,56],"adversarially":[46],"designed":[47,59],"for":[48,92,95],"every":[49],"individual":[50],"input":[51,65],"sample.":[52],"However,":[53],"such":[54,118],"adversarial":[55],"are":[57],"commonly":[58],"knowledge":[62],"an":[64,74],"sample,":[66],"and":[67],"hence":[68],"perform":[69],"sub-optimally":[70],"unknown":[75],"or":[76],"constantly":[77],"changing":[78],"data":[79],"point.":[80],"In":[81],"this":[82],"paper,":[83],"we":[84,121],"show":[85],"existence":[87],"a":[89,102,110,119,123,130,138,144],"Universal":[90],"Perturbation":[91],"Interpretation":[93],"(UPI)":[94],"which":[99,140],"can":[100,141],"alter":[101,143],"feature":[104],"map":[105],"networks":[108],"over":[109],"significant":[111],"fraction":[112],"test":[114],"samples.":[115,151],"To":[116],"design":[117],"UPI,":[120],"propose":[122],"optimization":[125],"method":[126],"as":[127,129],"well":[128],"principal":[131],"component":[132],"analysis":[133],"(PCA)-based":[134],"approach":[135],"compute":[137],"UPI":[139,156],"effectively":[142],"network\u2019s":[146],"on":[149],"different":[150],"We":[152],"support":[153],"proposed":[155],"approaches":[157],"by":[158],"presenting":[159],"several":[160],"numerical":[161],"results":[162],"their":[164],"successful":[165],"applications":[166],"datasets.":[170]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
