{"id":"https://openalex.org/W4412164087","doi":"https://doi.org/10.1109/tetc.2025.3583872","title":"GLAMP: Generative Learning for Adversarially-Robust Malware Prediction","display_name":"GLAMP: Generative Learning for Adversarially-Robust Malware Prediction","publication_year":2025,"publication_date":"2025-07-01","ids":{"openalex":"https://openalex.org/W4412164087","doi":"https://doi.org/10.1109/tetc.2025.3583872"},"language":"en","primary_location":{"id":"doi:10.1109/tetc.2025.3583872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2025.3583872","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","raw_type":"journal-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/A5017760171","display_name":"Saurabh Kumar","orcid":"https://orcid.org/0000-0001-5909-5567"},"institutions":[{"id":"https://openalex.org/I65181880","display_name":"Indian Institute of Technology Hyderabad","ror":"https://ror.org/01j4v3x97","country_code":"IN","type":"education","lineage":["https://openalex.org/I65181880"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Saurabh Kumar","raw_affiliation_strings":["Indian Institute of Technology Hyderabad, Hyderabad, Telangana, India"],"raw_orcid":"https://orcid.org/0000-0001-5909-5567","affiliations":[{"raw_affiliation_string":"Indian Institute of Technology Hyderabad, Hyderabad, Telangana, India","institution_ids":["https://openalex.org/I65181880"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039727555","display_name":"Cristian Molinaro","orcid":"https://orcid.org/0000-0003-4103-1084"},"institutions":[{"id":"https://openalex.org/I45204951","display_name":"University of Calabria","ror":"https://ror.org/02rc97e94","country_code":"IT","type":"education","lineage":["https://openalex.org/I45204951"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Cristian Molinaro","raw_affiliation_strings":["University of Calabria, Arcavacata, Rende (CS), Italy"],"raw_orcid":"https://orcid.org/0000-0003-4103-1084","affiliations":[{"raw_affiliation_string":"University of Calabria, Arcavacata, Rende (CS), Italy","institution_ids":["https://openalex.org/I45204951"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5118322909","display_name":"Lirika Sola","orcid":null},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Lirika Sola","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":"https://orcid.org/0009-0006-6837-3366","affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5038645035","display_name":"V. S. Subrahmanian","orcid":"https://orcid.org/0000-0001-7191-0296"},"institutions":[{"id":"https://openalex.org/I111979921","display_name":"Northwestern University","ror":"https://ror.org/000e0be47","country_code":"US","type":"education","lineage":["https://openalex.org/I111979921"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"V. S. Subrahmanian","raw_affiliation_strings":["Northwestern University, Evanston, IL, USA"],"raw_orcid":"https://orcid.org/0000-0001-7191-0296","affiliations":[{"raw_affiliation_string":"Northwestern University, Evanston, IL, USA","institution_ids":["https://openalex.org/I111979921"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17497409,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"13","issue":"3","first_page":"1299","last_page":"1315"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":1.0,"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"}},"topics":[{"id":"https://openalex.org/T11241","display_name":"Advanced Malware Detection Techniques","score":1.0,"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":0.9908999800682068,"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":0.9864000082015991,"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":0.808542013168335},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.7173128724098206},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6301202774047852},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5700109004974365},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5365151762962341},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.47666504979133606},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.4164081811904907},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1558668315410614}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.808542013168335},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.7173128724098206},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6301202774047852},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5700109004974365},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5365151762962341},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.47666504979133606},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.4164081811904907},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1558668315410614},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tetc.2025.3583872","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tetc.2025.3583872","pdf_url":null,"source":{"id":"https://openalex.org/S2496326734","display_name":"IEEE Transactions on Emerging Topics in Computing","issn_l":"2168-6750","issn":["2168-6750","2376-4562"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Emerging Topics in Computing","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":36,"referenced_works":["https://openalex.org/W1480909796","https://openalex.org/W1535984709","https://openalex.org/W2122672392","https://openalex.org/W2152149943","https://openalex.org/W2243397390","https://openalex.org/W2432142698","https://openalex.org/W2509162308","https://openalex.org/W2563758005","https://openalex.org/W2570526389","https://openalex.org/W2603160474","https://openalex.org/W2747287993","https://openalex.org/W2749928722","https://openalex.org/W2776884785","https://openalex.org/W2784452215","https://openalex.org/W2792310543","https://openalex.org/W2811149605","https://openalex.org/W2932977083","https://openalex.org/W2962719237","https://openalex.org/W2963204406","https://openalex.org/W2964301649","https://openalex.org/W2973628901","https://openalex.org/W2989930814","https://openalex.org/W2997690675","https://openalex.org/W2998277219","https://openalex.org/W2999469480","https://openalex.org/W3000918648","https://openalex.org/W3002912819","https://openalex.org/W3006800307","https://openalex.org/W3093077017","https://openalex.org/W3170962599","https://openalex.org/W3191453585","https://openalex.org/W4211260264","https://openalex.org/W4312234627","https://openalex.org/W4383551904","https://openalex.org/W4383753794","https://openalex.org/W4389313086"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W4391584540","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4395044357","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W2087346071","https://openalex.org/W2967848559"],"abstract_inverted_index":{"We":[0,36,58],"propose":[1],"a":[2,11,18,41,66,106],"novelGenerative":[3],"Malware":[4,77],"Defensestrategy.":[5],"When":[6],"an":[7,138],"antivirus":[8],"company":[9],"detects":[10],"malware":[12,27,53,62,85,91,151],"sample$m$,":[13],"they":[14],"should:":[15],"(i)":[16,96],"generate":[17],"set$Var(m)$of":[19],"several":[20],"variants":[21],"of$m$and":[22],"then":[23,136],"(ii)":[24],"train":[25],"their":[26,30],"classifiers":[28,48,125,158],"on":[29,186],"usual":[31],"training":[32,140,172],"set":[33,189],"augmented":[34],"with$Var(m)$.":[35],"believe":[37],"this":[38],"leads":[39],"to":[40,51,117,130],"more":[42,49],"proactive":[43],"defense":[44],"by":[45,55,113,177,183],"making":[46],"the":[47,56,61,81,84,99,175,180,187],"robust":[50],"future":[52],"developed":[54],"attacker.":[57],"formally":[59],"define":[60],"generation":[63,86,93],"problem":[64,87],"as":[65,142],"non-traditional":[67],"optimization":[68],"problem.":[69],"Our":[70,102,144,166],"novel":[71,90],"GLAMP":[72,114,135,148],"(Generative":[73],"Learning":[74],"for":[75,95],"Adversarially-robust":[76],"Prediction)":[78],"framework":[79],"analyzes":[80],"complexity":[82,100],"of":[83,110],"and":[88,122,132,159,179],"includes":[89],"variant":[92],"algorithms":[94],"that":[97,105,147,152],"leverage":[98],"results.":[101],"experiments":[103,145,167],"show":[104,146,168],"sufficiently":[107],"large":[108],"percentage":[109],"samples":[111],"generated":[112],"are":[115],"able":[116],"evade":[118,154],"both":[119],"commercial":[120,161],"anti-virus":[121],"machine":[123],"learning":[124],"with":[126],"evasion":[127],"rates":[128],"up":[129],"83.81%":[131],"50.54%,":[133],"respectively.":[134],"proposes":[137],"adversarial":[139,171],"model":[141],"well.":[143],"generates":[149],"running":[150],"can":[153],"11":[155],"white":[156],"box":[157],"4":[160],"(i.e.,":[162],"black":[163],"box)":[164],"detectors.":[165],"GLAMP's":[169],"best":[170],"engine":[173],"improves":[174],"recall":[176],"16.1%":[178],"F1":[181],"score":[182],"2.4%-5.4%":[184],"depending":[185],"test":[188],"used.":[190]},"counts_by_year":[],"updated_date":"2026-07-29T09:40:50.615796","created_date":"2025-10-10T00:00:00"}