{"id":"https://openalex.org/W3002914557","doi":"https://doi.org/10.1145/3336191.3371877","title":"Adversarial Machine Learning in Recommender Systems (AML-RecSys)","display_name":"Adversarial Machine Learning in Recommender Systems (AML-RecSys)","publication_year":2020,"publication_date":"2020-01-20","ids":{"openalex":"https://openalex.org/W3002914557","doi":"https://doi.org/10.1145/3336191.3371877","mag":"3002914557"},"language":"en","primary_location":{"id":"doi:10.1145/3336191.3371877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","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/A5009954943","display_name":"Yashar Deldjoo","orcid":"https://orcid.org/0000-0002-6767-358X"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Yashar Deldjoo","raw_affiliation_strings":["Polytechnic University of Bari, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Polytechnic University of Bari, Bari, Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034668928","display_name":"Tommaso Di Noia","orcid":"https://orcid.org/0000-0002-0939-5462"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Tommaso Di Noia","raw_affiliation_strings":["Polytechnic University of Bari, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Polytechnic University of Bari, Bari, Italy","institution_ids":["https://openalex.org/I68618741"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067588342","display_name":"Felice Antonio Merra","orcid":"https://orcid.org/0009-0003-8429-3487"},"institutions":[{"id":"https://openalex.org/I68618741","display_name":"Polytechnic University of Bari","ror":"https://ror.org/03c44v465","country_code":"IT","type":"education","lineage":["https://openalex.org/I68618741"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Felice Antonio Merra","raw_affiliation_strings":["Polytechnic University of Bari, Bari, Italy"],"affiliations":[{"raw_affiliation_string":"Polytechnic University of Bari, Bari, Italy","institution_ids":["https://openalex.org/I68618741"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5009954943"],"corresponding_institution_ids":["https://openalex.org/I68618741"],"apc_list":null,"apc_paid":null,"fwci":7.4733,"has_fulltext":false,"cited_by_count":39,"citation_normalized_percentile":{"value":0.97257395,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"869","last_page":"872"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10203","display_name":"Recommender Systems and Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T10203","display_name":"Recommender Systems and Techniques","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"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/T12101","display_name":"Advanced Bandit Algorithms Research","score":0.9984999895095825,"subfield":{"id":"https://openalex.org/subfields/1803","display_name":"Management Science and Operations Research"},"field":{"id":"https://openalex.org/fields/18","display_name":"Decision Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T13702","display_name":"Machine Learning in Healthcare","score":0.9980999827384949,"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/recommender-system","display_name":"Recommender system","score":0.8374482989311218},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7875916957855225},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7076669335365295},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6136178374290466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5886159539222717},{"id":"https://openalex.org/keywords/profitability-index","display_name":"Profitability index","score":0.5040258765220642},{"id":"https://openalex.org/keywords/quality","display_name":"Quality (philosophy)","score":0.4567306339740753},{"id":"https://openalex.org/keywords/matrix-decomposition","display_name":"Matrix decomposition","score":0.45473960041999817}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8374482989311218},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7875916957855225},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7076669335365295},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6136178374290466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5886159539222717},{"id":"https://openalex.org/C129361004","wikidata":"https://www.wikidata.org/wiki/Q2470236","display_name":"Profitability index","level":2,"score":0.5040258765220642},{"id":"https://openalex.org/C2779530757","wikidata":"https://www.wikidata.org/wiki/Q1207505","display_name":"Quality (philosophy)","level":2,"score":0.4567306339740753},{"id":"https://openalex.org/C42355184","wikidata":"https://www.wikidata.org/wiki/Q1361088","display_name":"Matrix decomposition","level":3,"score":0.45473960041999817},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0},{"id":"https://openalex.org/C111472728","wikidata":"https://www.wikidata.org/wiki/Q9471","display_name":"Epistemology","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"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/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C158693339","wikidata":"https://www.wikidata.org/wiki/Q190524","display_name":"Eigenvalues and eigenvectors","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3336191.3371877","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3336191.3371877","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 13th International Conference on Web Search and Data Mining","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":34,"referenced_works":["https://openalex.org/W1966553486","https://openalex.org/W1977290284","https://openalex.org/W2030484290","https://openalex.org/W2095577883","https://openalex.org/W2101409192","https://openalex.org/W2105953200","https://openalex.org/W2107569009","https://openalex.org/W2253995343","https://openalex.org/W2605350416","https://openalex.org/W2618530766","https://openalex.org/W2619206542","https://openalex.org/W2730273883","https://openalex.org/W2774458425","https://openalex.org/W2809291355","https://openalex.org/W2810427709","https://openalex.org/W2886209086","https://openalex.org/W2893785281","https://openalex.org/W2893790670","https://openalex.org/W2897167574","https://openalex.org/W2908054697","https://openalex.org/W2914294271","https://openalex.org/W2914500297","https://openalex.org/W2914761779","https://openalex.org/W2916790858","https://openalex.org/W2954667104","https://openalex.org/W2962907114","https://openalex.org/W2963569536","https://openalex.org/W2964153729","https://openalex.org/W2964938963","https://openalex.org/W2969355388","https://openalex.org/W3099942019","https://openalex.org/W3101023724","https://openalex.org/W3106251865","https://openalex.org/W3122507327"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W1561927205","https://openalex.org/W3191453585","https://openalex.org/W2963185427","https://openalex.org/W2065296176","https://openalex.org/W2342498029"],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"(RS)":[2],"are":[3,22,33],"an":[4,14],"integral":[5],"part":[6],"of":[7,132],"many":[8],"online":[9],"services":[10],"aiming":[11],"to":[12,30,36,106],"provide":[13],"enhanced":[15],"user-oriented":[16],"experience.":[17],"Machine":[18],"learning":[19],"(ML)":[20],"models":[21,94,125],"nowadays":[23],"broadly":[24],"adopted":[25],"in":[26,78],"modern":[27],"state-of-the-art":[28,86],"approaches":[29,88,134],"recommendation,":[31],"which":[32],"typically":[34],"trained":[35],"maximize":[37],"a":[38,45],"user-centred":[39],"utility":[40],"(e.g.,":[41,48],"user":[42],"satisfaction)":[43],"or":[44,50,95],"business-oriented":[46],"one":[47],"profitability":[49],"sales":[51],"increase).":[52],"They":[53],"work":[54],"under":[55],"the":[56,76,79,96,111,119,129],"main":[57],"assumption":[58],"that":[59,85],"users'":[60],"historical":[61],"feedback":[62],"can":[63,103,117,127],"serve":[64],"as":[65,90],"proper":[66],"ground-truth":[67],"for":[68,121],"model":[69],"training":[70,122],"and":[71,126],"evaluation.":[72],"However,":[73],"driven":[74,130],"by":[75],"success":[77,131],"ML":[80],"community,":[81],"recent":[82],"advances":[83],"show":[84],"recommendation":[87],"such":[89],"matrix":[91],"factorization":[92],"(MF)":[93],"ones":[97],"based":[98],"on":[99,110],"deep":[100],"neural":[101],"networks":[102],"be":[104],"vulnerable":[105],"adversarial":[107,115],"perturbations":[108],"applied":[109],"input":[112],"data.":[113],"These":[114],"samples":[116],"impede":[118],"ability":[120],"high-quality":[123],"MF":[124],"put":[128],"these":[133],"at":[135],"high":[136],"risk.":[137]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":9},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":7},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":6}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}