{"id":"https://openalex.org/W4415708838","doi":"https://doi.org/10.1109/icme59968.2025.11209896","title":"MalDenoise: Enhancing Robustness of API-Based Malware Detection Against Adversarial Attacks","display_name":"MalDenoise: Enhancing Robustness of API-Based Malware Detection Against Adversarial Attacks","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4415708838","doi":"https://doi.org/10.1109/icme59968.2025.11209896"},"language":null,"primary_location":{"id":"doi:10.1109/icme59968.2025.11209896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","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/A5001425760","display_name":"Xiaohui Chen","orcid":"https://orcid.org/0009-0008-3521-0960"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaohui Chen","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100328019","display_name":"Xin Wang","orcid":"https://orcid.org/0000-0002-8284-8640"},"institutions":[{"id":"https://openalex.org/I4210099020","display_name":"Beijing Biocytogen (China)","ror":"https://ror.org/01spyyb53","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210099020"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Wang","raw_affiliation_strings":["Beijing Guancheng Technology Co., Ltd.,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Guancheng Technology Co., Ltd.,Beijing,China","institution_ids":["https://openalex.org/I4210099020"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065530407","display_name":"Zuhui Yue","orcid":null},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zuhui Yue","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100415036","display_name":"Zheng Li","orcid":"https://orcid.org/0000-0002-9704-7651"},"institutions":[{"id":"https://openalex.org/I180662265","display_name":"China Mobile (China)","ror":"https://ror.org/05gftfe97","country_code":"CN","type":"company","lineage":["https://openalex.org/I180662265"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zheng Li","raw_affiliation_strings":["China Mobile Research Institute,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"China Mobile Research Institute,Beijing,China","institution_ids":["https://openalex.org/I180662265"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090714679","display_name":"Peipei Liu","orcid":"https://orcid.org/0000-0003-4621-2298"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peipei Liu","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5002240461","display_name":"Hongsong Zhu","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210156404","display_name":"Institute of Information Engineering","ror":"https://ror.org/04r53se39","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210156404"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongsong Zhu","raw_affiliation_strings":["Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences,Institute of Information Engineering,Beijing,China","institution_ids":["https://openalex.org/I4210156404","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.5245000123977661,"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":0.5245000123977661,"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":0.44119998812675476,"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":0.009700000286102295,"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/adversarial-system","display_name":"Adversarial system","score":0.8741000294685364},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.7064999938011169},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.6660000085830688},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.5055000185966492},{"id":"https://openalex.org/keywords/threat-model","display_name":"Threat model","score":0.46939998865127563},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.42309999465942383}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8741000294685364},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7649999856948853},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7064999938011169},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.6660000085830688},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.5392000079154968},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5354999899864197},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.5055000185966492},{"id":"https://openalex.org/C140547941","wikidata":"https://www.wikidata.org/wiki/Q7797194","display_name":"Threat model","level":2,"score":0.46939998865127563},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4244999885559082},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.42309999465942383},{"id":"https://openalex.org/C2781170535","wikidata":"https://www.wikidata.org/wiki/Q30587856","display_name":"Noisy data","level":2,"score":0.3912000060081482},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.385699987411499},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.36250001192092896},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.3617999851703644},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.3425000011920929},{"id":"https://openalex.org/C65856478","wikidata":"https://www.wikidata.org/wiki/Q3991682","display_name":"Attack model","level":2,"score":0.3357999920845032},{"id":"https://openalex.org/C167063184","wikidata":"https://www.wikidata.org/wiki/Q1400839","display_name":"Vulnerability assessment","level":3,"score":0.2669999897480011}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icme59968.2025.11209896","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icme59968.2025.11209896","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo (ICME)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2025768430","https://openalex.org/W2250539671","https://openalex.org/W2744095836","https://openalex.org/W2774018344","https://openalex.org/W2890116189","https://openalex.org/W2962718684","https://openalex.org/W2962768052","https://openalex.org/W2964016283","https://openalex.org/W2964082701","https://openalex.org/W2964199361","https://openalex.org/W2973628901","https://openalex.org/W3036847733","https://openalex.org/W3082575476","https://openalex.org/W3103836116","https://openalex.org/W3113062381","https://openalex.org/W3168097936","https://openalex.org/W3201518827","https://openalex.org/W4212847133","https://openalex.org/W4221112654","https://openalex.org/W4226086258","https://openalex.org/W4319663821","https://openalex.org/W4384129390","https://openalex.org/W4385688977","https://openalex.org/W4386113300"],"related_works":[],"abstract_inverted_index":{"API":[0,56,77],"call":[1,57,78],"sequence-based":[2,79],"machine":[3],"learning":[4],"(ML)":[5],"models":[6,53],"have":[7,37,113],"shown":[8],"promise":[9],"in":[10,141],"detecting":[11],"malware":[12,52,80],"with":[13],"high":[14],"accuracy.":[15],"However,":[16],"the":[17,73,76,95,99,115,128],"vulnerability":[18],"of":[19,47,75,117,130],"ML":[20],"models,":[21],"particularly":[22],"deep":[23],"neural":[24],"networks,":[25],"to":[26,39,71,91,137],"adversarial":[27,48,84,122,144],"attacks":[28,49],"remains":[29],"a":[30,41,88],"pressing":[31],"concern.":[32],"Unfortunately,":[33],"existing":[34,133],"research":[35],"efforts":[36],"yet":[38],"provide":[40],"comprehensive":[42],"defense":[43,66,134],"against":[44,83,119,143],"various":[45,121],"types":[46],"targeted":[50],"at":[51],"relying":[54],"on":[55],"sequences.":[58],"In":[59],"this":[60],"paper,":[61],"we":[62,112],"propose":[63],"an":[64],"innovative":[65],"method,":[67],"named":[68],"MalDenoise,":[69],"aiming":[70],"fortify":[72],"robustness":[74],"detection":[81,100],"model":[82,90],"attacks.":[85,123],"It":[86],"employs":[87],"denoising":[89],"filter":[92],"and":[93],"denoise":[94],"input":[96],"data":[97],"for":[98],"model,":[101],"eliminating":[102],"extraneous":[103],"or":[104],"irrelevant":[105],"APIs":[106],"while":[107],"accentuating":[108],"critical":[109],"components.":[110],"Furthermore,":[111],"evaluated":[114],"performance":[116],"MalDenoise":[118,131],"four":[120],"The":[124],"results":[125],"conclusively":[126],"showcase":[127],"superiority":[129],"over":[132],"methods,":[135],"attesting":[136],"its":[138],"heightened":[139],"effectiveness":[140],"safeguarding":[142],"threats.":[145]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-30T00:00:00"}