{"id":"https://openalex.org/W2936538270","doi":"https://doi.org/10.1109/icassp.2019.8683530","title":"Data Poisoning Attacks against MRMR","display_name":"Data Poisoning Attacks against MRMR","publication_year":2019,"publication_date":"2019-04-16","ids":{"openalex":"https://openalex.org/W2936538270","doi":"https://doi.org/10.1109/icassp.2019.8683530","mag":"2936538270"},"language":"en","primary_location":{"id":"doi:10.1109/icassp.2019.8683530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5100753324","display_name":"Heng Liu","orcid":"https://orcid.org/0000-0002-5170-1144"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Heng Liu","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, The University of Arizona, Tucson, AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, The University of Arizona, Tucson, AZ","institution_ids":["https://openalex.org/I138006243"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5079638101","display_name":"Gregory Ditzler","orcid":"https://orcid.org/0000-0001-6890-0935"},"institutions":[{"id":"https://openalex.org/I138006243","display_name":"University of Arizona","ror":"https://ror.org/03m2x1q45","country_code":"US","type":"education","lineage":["https://openalex.org/I138006243"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Gregory Ditzler","raw_affiliation_strings":["Dept. of Electrical & Computer Engineering, The University of Arizona, Tucson, AZ"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering, The University of Arizona, Tucson, AZ","institution_ids":["https://openalex.org/I138006243"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I138006243"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2517","last_page":"2521"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":1.0,"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":1.0,"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":0.9965999722480774,"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/T10400","display_name":"Network Security and Intrusion Detection","score":0.9882000088691711,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"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":0.7408725619316101},{"id":"https://openalex.org/keywords/feature-selection","display_name":"Feature selection","score":0.6908856630325317},{"id":"https://openalex.org/keywords/redundancy","display_name":"Redundancy (engineering)","score":0.6812018156051636},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.6327788829803467},{"id":"https://openalex.org/keywords/adversary","display_name":"Adversary","score":0.6311015486717224},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.6199960708618164},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5330231189727783},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4411446452140808},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43967968225479126},{"id":"https://openalex.org/keywords/data-redundancy","display_name":"Data redundancy","score":0.41612547636032104},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3843843936920166},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.3266264796257019}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7408725619316101},{"id":"https://openalex.org/C148483581","wikidata":"https://www.wikidata.org/wiki/Q446488","display_name":"Feature selection","level":2,"score":0.6908856630325317},{"id":"https://openalex.org/C152124472","wikidata":"https://www.wikidata.org/wiki/Q1204361","display_name":"Redundancy (engineering)","level":2,"score":0.6812018156051636},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.6327788829803467},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.6311015486717224},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.6199960708618164},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5330231189727783},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4411446452140808},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43967968225479126},{"id":"https://openalex.org/C7545210","wikidata":"https://www.wikidata.org/wiki/Q838123","display_name":"Data redundancy","level":2,"score":0.41612547636032104},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3843843936920166},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3266264796257019},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp.2019.8683530","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp.2019.8683530","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2019 - 2019 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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W3805906","https://openalex.org/W144440563","https://openalex.org/W1995875735","https://openalex.org/W2095195675","https://openalex.org/W2135046866","https://openalex.org/W2144906988","https://openalex.org/W2151298633","https://openalex.org/W2154053567","https://openalex.org/W2167421362","https://openalex.org/W2167731287","https://openalex.org/W2277490326","https://openalex.org/W2478708596","https://openalex.org/W2564186131","https://openalex.org/W2574797807","https://openalex.org/W2787710446","https://openalex.org/W2806591294","https://openalex.org/W2963744840","https://openalex.org/W2964186415","https://openalex.org/W3111818035","https://openalex.org/W4297726864","https://openalex.org/W6600171677","https://openalex.org/W6605866200","https://openalex.org/W6684559340","https://openalex.org/W6684626213","https://openalex.org/W6738693630","https://openalex.org/W6751646164"],"related_works":["https://openalex.org/W2156571267","https://openalex.org/W2747166117","https://openalex.org/W2002428578","https://openalex.org/W2897258045","https://openalex.org/W2018406690","https://openalex.org/W2072332896","https://openalex.org/W2951748633","https://openalex.org/W2542042335","https://openalex.org/W4292309272","https://openalex.org/W2057691131"],"abstract_inverted_index":{"Many":[0],"machine":[1,25],"learning":[2,26],"models":[3],"lack":[4],"the":[5,14,21,24,40],"consideration":[6],"that":[7,56,61,88,100,109],"an":[8,47],"adversary":[9],"can":[10,102],"alter":[11],"data":[12,58,68,83],"at":[13,64,72],"time":[15],"of":[16,42],"training":[17],"or":[18],"testing.":[19],"Over":[20],"past":[22],"decade,":[23],"models'":[27],"vulnerability":[28],"has":[29],"been":[30,114],"a":[31,53,81],"concern":[32],"and":[33],"more":[34],"secure":[35],"algorithms":[36,60],"are":[37,51,62],"needed.":[38],"Unfortunately,":[39],"security":[41],"feature":[43],"selection":[44],"(FS)":[45],"remains":[46],"under-explored":[48],"area.":[49],"There":[50],"only":[52],"few":[54],"works":[55],"address":[57],"poisoning":[59,69,84],"targeted":[63,71],"embedded":[65],"FS;":[66],"however,":[67],"techniques":[70],"information-theoretic":[73],"FS":[74],"do":[75],"not":[76,111],"exist.":[77],"In":[78],"this":[79],"contribution,":[80],"novel":[82],"algorithm":[85],"is":[86],"proposed":[87],"targets":[89],"failures":[90],"in":[91],"minimum":[92],"Redundancy":[93],"Maximum":[94],"Relevance":[95],"(mRMR)":[96],".":[97],"We":[98],"demonstrate":[99],"mRMR":[101],"be":[103],"easily":[104],"poisoned":[105],"to":[106],"select":[107],"features":[108],"would":[110],"normally":[112],"have":[113],"selected.":[115]},"counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}