{"id":"https://openalex.org/W2987678574","doi":"https://doi.org/10.1145/3357384.3358149","title":"Adversarial Training of Gradient-Boosted Decision Trees","display_name":"Adversarial Training of Gradient-Boosted Decision Trees","publication_year":2019,"publication_date":"2019-11-03","ids":{"openalex":"https://openalex.org/W2987678574","doi":"https://doi.org/10.1145/3357384.3358149","mag":"2987678574"},"language":"en","primary_location":{"id":"doi:10.1145/3357384.3358149","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357384.3358149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","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/A5084675121","display_name":"Stefano Calzavara","orcid":"https://orcid.org/0000-0001-9179-8270"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":true,"raw_author_name":"Stefano Calzavara","raw_affiliation_strings":["Universit\u00e0 Ca' Foscari Venezia, Venice, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Ca' Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030358452","display_name":"Claudio Lucchese","orcid":"https://orcid.org/0000-0002-2545-0425"},"institutions":[{"id":"https://openalex.org/I149461666","display_name":"Ca' Foscari University of Venice","ror":"https://ror.org/04yzxz566","country_code":"IT","type":"education","lineage":["https://openalex.org/I149461666"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Claudio Lucchese","raw_affiliation_strings":["Universit\u00e0 Ca' Foscari Venezia, Venice, Italy"],"affiliations":[{"raw_affiliation_string":"Universit\u00e0 Ca' Foscari Venezia, Venice, Italy","institution_ids":["https://openalex.org/I149461666"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5011299100","display_name":"Gabriele Tolomei","orcid":"https://orcid.org/0000-0001-7471-6659"},"institutions":[{"id":"https://openalex.org/I861853513","display_name":"Sapienza University of Rome","ror":"https://ror.org/02be6w209","country_code":"IT","type":"education","lineage":["https://openalex.org/I861853513"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Gabriele Tolomei","raw_affiliation_strings":["Sapienza Universit\u00e0 di Roma, Rome, Italy"],"affiliations":[{"raw_affiliation_string":"Sapienza Universit\u00e0 di Roma, Rome, Italy","institution_ids":["https://openalex.org/I861853513"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5084675121"],"corresponding_institution_ids":["https://openalex.org/I149461666"],"apc_list":null,"apc_paid":null,"fwci":3.2204,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.93795819,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"2429","last_page":"2432"},"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":0.9731000065803528,"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":0.9221000075340271,"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/adversarial-system","display_name":"Adversarial system","score":0.9233206510543823},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6573188900947571},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6545225977897644},{"id":"https://openalex.org/keywords/decision-tree","display_name":"Decision tree","score":0.6537426114082336},{"id":"https://openalex.org/keywords/training","display_name":"Training (meteorology)","score":0.6363047361373901},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6335745453834534},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.5297209620475769},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.4615817666053772},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.45671266317367554},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21756663918495178}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.9233206510543823},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6573188900947571},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6545225977897644},{"id":"https://openalex.org/C84525736","wikidata":"https://www.wikidata.org/wiki/Q831366","display_name":"Decision tree","level":2,"score":0.6537426114082336},{"id":"https://openalex.org/C2777211547","wikidata":"https://www.wikidata.org/wiki/Q17141490","display_name":"Training (meteorology)","level":2,"score":0.6363047361373901},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6335745453834534},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.5297209620475769},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.4615817666053772},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.45671266317367554},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21756663918495178},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","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}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3357384.3358149","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3357384.3358149","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 28th ACM International Conference on Information and Knowledge Management","raw_type":"proceedings-article"},{"id":"pmh:oai:iris.uniroma1.it:11573/1338755","is_oa":false,"landing_page_url":"http://hdl.handle.net/11573/1338755","pdf_url":null,"source":{"id":"https://openalex.org/S4377196107","display_name":"IRIS Research product catalog (Sapienza University of Rome)","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/conferenceObject"},{"id":"pmh:oai:iris.unive.it:10278/3722896","is_oa":false,"landing_page_url":"http://hdl.handle.net/10278/3722896","pdf_url":null,"source":{"id":"https://openalex.org/S4306402336","display_name":"ARCA (Universit\u00e0 Ca' Foscari Venezia)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I149461666","host_organization_name":"Ca' Foscari University of Venice","host_organization_lineage":["https://openalex.org/I149461666"],"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/conferenceObject"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.6200000047683716}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":14,"referenced_works":["https://openalex.org/W1673923490","https://openalex.org/W1678356000","https://openalex.org/W1945616565","https://openalex.org/W2004915807","https://openalex.org/W2095577883","https://openalex.org/W2243397390","https://openalex.org/W2552767274","https://openalex.org/W2640329709","https://openalex.org/W2773446523","https://openalex.org/W2962777143","https://openalex.org/W3085162807","https://openalex.org/W3207342693","https://openalex.org/W4300402905","https://openalex.org/W6843735874"],"related_works":["https://openalex.org/W3048732067","https://openalex.org/W4383468834","https://openalex.org/W4283221438","https://openalex.org/W2900159906","https://openalex.org/W4384648009","https://openalex.org/W4287828318","https://openalex.org/W2406556600","https://openalex.org/W4380352238","https://openalex.org/W3126470649","https://openalex.org/W2930249865"],"abstract_inverted_index":{"Adversarial":[0],"training":[1,47,80],"is":[2,72],"a":[3,82],"prominent":[4],"approach":[5,18],"to":[6,13,31,48,88],"make":[7],"machine":[8],"learning":[9,24,64],"(ML)":[10],"models":[11],"resilient":[12],"adversarial":[14,46,79],"examples.":[15],"Unfortunately,":[16],"such":[17,35],"assumes":[19],"the":[20,57,93],"use":[21],"of":[22,38,59,76],"differentiable":[23],"models,":[25],"hence":[26],"it":[27],"cannot":[28],"be":[29],"applied":[30],"relevant":[32],"ML":[33],"techniques,":[34],"as":[36],"ensembles":[37],"decision":[39,50],"trees.":[40],"In":[41],"this":[42],"paper,":[43],"we":[44],"generalize":[45],"gradient-boosted":[49],"trees":[51],"(GBDTs).":[52],"Our":[53],"experiments":[54],"show":[55],"that":[56],"performance":[58],"classifiers":[60],"based":[61],"on":[62],"existing":[63],"techniques":[65],"either":[66],"sharply":[67],"decreases":[68],"upon":[69],"attack":[70],"or":[71],"unsatisfactory":[73],"in":[74,92],"absence":[75],"attacks,":[77],"while":[78],"provides":[81],"very":[83],"good":[84],"trade-off":[85],"between":[86],"resiliency":[87],"attacks":[89],"and":[90],"accuracy":[91],"unattacked":[94],"setting.":[95]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":8},{"year":2020,"cited_by_count":9},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}