{"id":"https://openalex.org/W3096366145","doi":"https://doi.org/10.23919/softcom50211.2020.9238337","title":"On Recent Security Issues in Machine Learning","display_name":"On Recent Security Issues in Machine Learning","publication_year":2020,"publication_date":"2020-09-17","ids":{"openalex":"https://openalex.org/W3096366145","doi":"https://doi.org/10.23919/softcom50211.2020.9238337","mag":"3096366145"},"language":"en","primary_location":{"id":"doi:10.23919/softcom50211.2020.9238337","is_oa":false,"landing_page_url":"https://doi.org/10.23919/softcom50211.2020.9238337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","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/A5034542641","display_name":"Mohammed M. Alani","orcid":"https://orcid.org/0000-0002-4324-1774"},"institutions":[{"id":"https://openalex.org/I4210140625","display_name":"American College of Dubai","ror":"https://ror.org/0352adn16","country_code":"AE","type":"education","lineage":["https://openalex.org/I4210140625"]}],"countries":["AE"],"is_corresponding":true,"raw_author_name":"Mohammed M. Alani","raw_affiliation_strings":["Senior Member of the ACM, Abu Dhabi, United Arab Emirates"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Senior Member of the ACM, Abu Dhabi, United Arab Emirates","institution_ids":["https://openalex.org/I4210140625"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":["https://openalex.org/A5034542641"],"corresponding_institution_ids":["https://openalex.org/I4210140625"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.14061199,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10400","display_name":"Network Security and Intrusion Detection","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9998000264167786,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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":0.9997000098228455,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/exploit","display_name":"Exploit","score":0.8191239833831787},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7763680219650269},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6508617401123047},{"id":"https://openalex.org/keywords/de-facto","display_name":"De facto","score":0.6026568412780762},{"id":"https://openalex.org/keywords/big-data","display_name":"Big data","score":0.5938933491706848},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5717836618423462},{"id":"https://openalex.org/keywords/analytics","display_name":"Analytics","score":0.4970264732837677},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.4617356061935425},{"id":"https://openalex.org/keywords/data-science","display_name":"Data science","score":0.40030354261398315},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.14067721366882324}],"concepts":[{"id":"https://openalex.org/C165696696","wikidata":"https://www.wikidata.org/wiki/Q11287","display_name":"Exploit","level":2,"score":0.8191239833831787},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7763680219650269},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6508617401123047},{"id":"https://openalex.org/C2992317946","wikidata":"https://www.wikidata.org/wiki/Q712144","display_name":"De facto","level":2,"score":0.6026568412780762},{"id":"https://openalex.org/C75684735","wikidata":"https://www.wikidata.org/wiki/Q858810","display_name":"Big data","level":2,"score":0.5938933491706848},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5717836618423462},{"id":"https://openalex.org/C79158427","wikidata":"https://www.wikidata.org/wiki/Q485396","display_name":"Analytics","level":2,"score":0.4970264732837677},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.4617356061935425},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.40030354261398315},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.14067721366882324},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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:10.23919/softcom50211.2020.9238337","is_oa":false,"landing_page_url":"https://doi.org/10.23919/softcom50211.2020.9238337","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Conference on Software, Telecommunications and Computer Networks (SoftCOM)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.6399999856948853,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":54,"referenced_works":["https://openalex.org/W9657784","https://openalex.org/W1673923490","https://openalex.org/W2040924693","https://openalex.org/W2125908420","https://openalex.org/W2132874238","https://openalex.org/W2151298633","https://openalex.org/W2535690855","https://openalex.org/W2610574037","https://openalex.org/W2884199749","https://openalex.org/W2889855695","https://openalex.org/W2910317047","https://openalex.org/W2912023992","https://openalex.org/W2924551358","https://openalex.org/W2947018541","https://openalex.org/W2950947818","https://openalex.org/W2956648406","https://openalex.org/W2962835266","https://openalex.org/W2963389226","https://openalex.org/W2963579187","https://openalex.org/W2963744840","https://openalex.org/W2963857521","https://openalex.org/W2964153729","https://openalex.org/W2964253222","https://openalex.org/W2969864365","https://openalex.org/W2971236179","https://openalex.org/W2981949379","https://openalex.org/W2989467979","https://openalex.org/W3002914557","https://openalex.org/W3004478028","https://openalex.org/W3006602764","https://openalex.org/W3010216907","https://openalex.org/W3023326764","https://openalex.org/W3103836116","https://openalex.org/W3103940881","https://openalex.org/W4288328346","https://openalex.org/W4288638181","https://openalex.org/W4291984345","https://openalex.org/W4293846201","https://openalex.org/W4294679663","https://openalex.org/W4394644156","https://openalex.org/W6637162671","https://openalex.org/W6675188600","https://openalex.org/W6729756640","https://openalex.org/W6737116071","https://openalex.org/W6738693630","https://openalex.org/W6739868092","https://openalex.org/W6753074640","https://openalex.org/W6758125152","https://openalex.org/W6763463012","https://openalex.org/W6763882619","https://openalex.org/W6767455244","https://openalex.org/W6770630675","https://openalex.org/W6774904085","https://openalex.org/W6864546407"],"related_works":["https://openalex.org/W17155033","https://openalex.org/W3207760230","https://openalex.org/W1496222301","https://openalex.org/W1590307681","https://openalex.org/W2536018345","https://openalex.org/W4312814274","https://openalex.org/W4285370786","https://openalex.org/W2296488620","https://openalex.org/W2358353312","https://openalex.org/W2353836703"],"abstract_inverted_index":{"In":[0],"recent":[1,21,109],"years,":[2],"applications":[3,37],"of":[4,17,52,65,87],"machine":[5,27,53,97],"learning":[6,28,54,98],"have":[7],"grown":[8],"rapidly":[9],"in":[10,23,35,42,75,96,112],"various":[11],"areas.":[12,44],"With":[13],"the":[14,40,47,88,116],"accelerating":[15],"rate":[16],"data":[18,25],"generation,":[19],"and":[20,50,73,85,114,123],"developments":[22],"big":[24],"analytics,":[26],"has":[29,57],"become":[30,58],"a":[31,59,82],"de":[32],"facto":[33],"standard":[34],"many":[36,43],"that":[38],"benefited":[39],"society":[41],"However,":[45],"with":[46],"increasing":[48,63],"number":[49,64],"types":[51],"applications,":[55],"it":[56],"target":[60],"for":[61],"an":[62],"malicious":[66,102],"actors.":[67],"Security":[68],"challenges":[69],"became":[70],"more":[71],"complex":[72],"diverse":[74],"machine-learning-based":[76],"systems.In":[77],"this":[78],"paper,":[79],"we":[80],"present":[81],"concise":[83],"survey":[84],"discussion":[86],"mechanisms":[89],"employed":[90],"by":[91],"attackers":[92],"to":[93,119],"exploit":[94],"vulnerabilities":[95],"algorithms":[99],"or":[100],"injecting":[101],"data.":[103],"The":[104],"paper":[105],"focuses":[106],"on":[107],"most":[108],"attacks":[110,122],"reported":[111],"literature":[113],"discusses":[115],"methods":[117],"proposed":[118],"counter":[120],"these":[121],"reduce":[124],"their":[125],"impact.":[126]},"counts_by_year":[],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
