{"id":"https://openalex.org/W4416924842","doi":"https://doi.org/10.1109/wimob66857.2025.11257522","title":"Model-Agnostic Poisoning Attacks on Recommender Systems via PPO","display_name":"Model-Agnostic Poisoning Attacks on Recommender Systems via PPO","publication_year":2025,"publication_date":"2025-10-20","ids":{"openalex":"https://openalex.org/W4416924842","doi":"https://doi.org/10.1109/wimob66857.2025.11257522"},"language":"en","primary_location":{"id":"doi:10.1109/wimob66857.2025.11257522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wimob66857.2025.11257522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)","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/A5038511121","display_name":"Vincenzo Agate","orcid":"https://orcid.org/0000-0002-3326-8500"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Vincenzo Agate","raw_affiliation_strings":["University of Palermo,Department of Engineering,Palermo,Italy"],"affiliations":[{"raw_affiliation_string":"University of Palermo,Department of Engineering,Palermo,Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035697089","display_name":"Giuseppe Lo Re","orcid":"https://orcid.org/0000-0002-8217-2230"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Giuseppe Lo Re","raw_affiliation_strings":["University of Palermo,Department of Engineering,Palermo,Italy"],"affiliations":[{"raw_affiliation_string":"University of Palermo,Department of Engineering,Palermo,Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040698758","display_name":"Marco Morana","orcid":"https://orcid.org/0000-0002-5963-6236"},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Marco Morana","raw_affiliation_strings":["University of Palermo,Department of Engineering,Palermo,Italy"],"affiliations":[{"raw_affiliation_string":"University of Palermo,Department of Engineering,Palermo,Italy","institution_ids":["https://openalex.org/I900890020"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5092641300","display_name":"Antonio Virga","orcid":null},"institutions":[{"id":"https://openalex.org/I900890020","display_name":"University of Palermo","ror":"https://ror.org/044k9ta02","country_code":"IT","type":"education","lineage":["https://openalex.org/I900890020"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Antonio Virga","raw_affiliation_strings":["University of Palermo,Department of Engineering,Palermo,Italy"],"affiliations":[{"raw_affiliation_string":"University of Palermo,Department of Engineering,Palermo,Italy","institution_ids":["https://openalex.org/I900890020"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5038511121"],"corresponding_institution_ids":["https://openalex.org/I900890020"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.21200562,"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.2531999945640564,"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":0.2531999945640564,"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/T11273","display_name":"Advanced Graph Neural Networks","score":0.14339999854564667,"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/T10203","display_name":"Recommender Systems and Techniques","score":0.11169999837875366,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/recommender-system","display_name":"Recommender system","score":0.8151000142097473},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.699999988079071},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.618399977684021},{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.5195000171661377},{"id":"https://openalex.org/keywords/prime","display_name":"Prime (order theory)","score":0.3483000099658966}],"concepts":[{"id":"https://openalex.org/C557471498","wikidata":"https://www.wikidata.org/wiki/Q554950","display_name":"Recommender system","level":2,"score":0.8151000142097473},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7802000045776367},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.699999988079071},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.618399977684021},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.5195000171661377},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4984999895095825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4375999867916107},{"id":"https://openalex.org/C184992742","wikidata":"https://www.wikidata.org/wiki/Q7243229","display_name":"Prime (order theory)","level":2,"score":0.3483000099658966},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3239000141620636},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.29350000619888306},{"id":"https://openalex.org/C2984870255","wikidata":"https://www.wikidata.org/wiki/Q5196451","display_name":"User engagement","level":2,"score":0.272599995136261}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wimob66857.2025.11257522","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wimob66857.2025.11257522","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 21th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob)","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.unipa.it:10447/700483","is_oa":false,"landing_page_url":"https://hdl.handle.net/10447/700483","pdf_url":null,"source":{"id":"https://openalex.org/S4306401065","display_name":"Nova Science Publishers (Nova Science Publishers, Inc.)","issn_l":null,"issn":null,"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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/bookPart"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":22,"referenced_works":["https://openalex.org/W1892382968","https://openalex.org/W2219888463","https://openalex.org/W2922107804","https://openalex.org/W2951360122","https://openalex.org/W2997583194","https://openalex.org/W3012794253","https://openalex.org/W3025378468","https://openalex.org/W3087124270","https://openalex.org/W3133706083","https://openalex.org/W3170760477","https://openalex.org/W3190386329","https://openalex.org/W3200953672","https://openalex.org/W4225321042","https://openalex.org/W4285252390","https://openalex.org/W4288758078","https://openalex.org/W4311089153","https://openalex.org/W4311779025","https://openalex.org/W4361858935","https://openalex.org/W4368232818","https://openalex.org/W4376132596","https://openalex.org/W4393306008","https://openalex.org/W4400984349"],"related_works":[],"abstract_inverted_index":{"Recommender":[0],"systems":[1],"have":[2],"become":[3],"pivotal":[4],"in":[5],"modern":[6],"digital":[7],"platforms,":[8],"guiding":[9],"user":[10,83,103],"choices":[11],"and":[12,66,100],"driving":[13],"engagement.":[14],"However,":[15],"their":[16],"widespread":[17],"adoption":[18],"has":[19],"also":[20],"made":[21],"them":[22,45],"a":[23,57,89,94,110],"prime":[24],"target":[25,112,126],"for":[26],"adversarial":[27],"attacks,":[28],"especially":[29],"data":[30],"poisoning":[31,60],"attacks":[32],"that":[33,62,121],"subtly":[34],"manipulate":[35],"recommendations.":[36],"Existing":[37],"approaches":[38],"often":[39],"generate":[40],"unrealistic":[41],"fake":[42,78],"profiles,":[43],"making":[44],"vulnerable":[46],"to":[47,74,105],"detection":[48],"by":[49],"anomaly-based":[50],"defenses.":[51],"In":[52],"this":[53],"paper,":[54],"we":[55],"propose":[56],"novel,":[58],"model-agnostic":[59],"framework":[61,98],"combines":[63],"contrastive":[64],"learning":[65,68],"reinforcement":[67],"with":[69,88,132],"Proximal":[70],"Policy":[71],"Optimization":[72],"(PPO)":[73],"craft":[75],"highly":[76],"realistic":[77],"profiles":[79,104],"derived":[80],"from":[81],"cross-domain":[82],"data.":[84],"By":[85],"interacting":[86],"exclusively":[87],"surrogate":[90],"recommender":[91],"trained":[92],"on":[93,109,117],"compatible":[95],"domain,":[96],"our":[97,122],"identifies":[99],"fine-tunes":[101],"influential":[102],"maximize":[106],"the":[107],"impact":[108],"black-box":[111],"system.":[113],"Our":[114],"experimental":[115],"evaluation":[116],"real-world":[118],"datasets":[119],"shows":[120],"approach":[123],"successfully":[124],"promotes":[125],"items":[127],"across":[128],"diverse":[129],"recommendation":[130],"models":[131],"minimal":[133],"injection":[134],"effort,":[135],"outperforming":[136],"baseline":[137],"strategies.":[138]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-12-02T00:00:00"}
