{"id":"https://openalex.org/W3089068829","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207168","title":"Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability","display_name":"Generating End-to-End Adversarial Examples for Malware Classifiers Using Explainability","publication_year":2020,"publication_date":"2020-07-01","ids":{"openalex":"https://openalex.org/W3089068829","doi":"https://doi.org/10.1109/ijcnn48605.2020.9207168","mag":"3089068829"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn48605.2020.9207168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2009.13243","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5075755095","display_name":"Ishai Rosenberg","orcid":"https://orcid.org/0000-0003-3509-4329"},"institutions":[],"countries":[],"is_corresponding":true,"raw_author_name":"Ishai Rosenberg","raw_affiliation_strings":["Deep Instinct Ltd"],"affiliations":[{"raw_affiliation_string":"Deep Instinct Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005266748","display_name":"Shai Meir","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Shai Meir","raw_affiliation_strings":["Deep Instinct Ltd"],"affiliations":[{"raw_affiliation_string":"Deep Instinct Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045108497","display_name":"Jonathan Berrebi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Jonathan Berrebi","raw_affiliation_strings":["Deep Instinct Ltd"],"affiliations":[{"raw_affiliation_string":"Deep Instinct Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5068405959","display_name":"Ilay Gordon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ilay Gordon","raw_affiliation_strings":["Deep Instinct Ltd"],"affiliations":[{"raw_affiliation_string":"Deep Instinct Ltd","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040410017","display_name":"Guillaume Sicard","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Guillaume Sicard","raw_affiliation_strings":["Deep Instinct Ltd","Eli (Omid"],"affiliations":[{"raw_affiliation_string":"Deep Instinct Ltd","institution_ids":[]},{"raw_affiliation_string":"Eli (Omid","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103960861","display_name":"David","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Eli Omid David","raw_affiliation_strings":["Deep Instinct Ltd"],"affiliations":[{"raw_affiliation_string":"Deep Instinct Ltd","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5075755095"],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.1371,"has_fulltext":true,"cited_by_count":2,"citation_normalized_percentile":{"value":0.56244438,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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/T11241","display_name":"Advanced Malware Detection Techniques","score":0.9889000058174133,"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/T12026","display_name":"Explainable Artificial Intelligence (XAI)","score":0.9807999730110168,"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/computer-science","display_name":"Computer science","score":0.7727683782577515},{"id":"https://openalex.org/keywords/malware","display_name":"Malware","score":0.739960253238678},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.719833493232727},{"id":"https://openalex.org/keywords/debugging","display_name":"Debugging","score":0.7059091925621033},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6591427326202393},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6087871193885803},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5824949741363525},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.580824613571167},{"id":"https://openalex.org/keywords/executable","display_name":"Executable","score":0.5313554406166077},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.5129373073577881},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3310743272304535},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.1873294711112976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7727683782577515},{"id":"https://openalex.org/C541664917","wikidata":"https://www.wikidata.org/wiki/Q14001","display_name":"Malware","level":2,"score":0.739960253238678},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.719833493232727},{"id":"https://openalex.org/C168065819","wikidata":"https://www.wikidata.org/wiki/Q845566","display_name":"Debugging","level":2,"score":0.7059091925621033},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6591427326202393},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6087871193885803},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5824949741363525},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.580824613571167},{"id":"https://openalex.org/C160145156","wikidata":"https://www.wikidata.org/wiki/Q778586","display_name":"Executable","level":2,"score":0.5313554406166077},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.5129373073577881},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3310743272304535},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.1873294711112976},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/ijcnn48605.2020.9207168","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn48605.2020.9207168","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2009.13243","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.13243","pdf_url":"https://arxiv.org/pdf/2009.13243","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},{"id":"doi:10.48550/arxiv.2009.13243","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2009.13243","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article"},{"id":"mag:3089068829","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":null,"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":null}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2009.13243","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.13243","pdf_url":"https://arxiv.org/pdf/2009.13243","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"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":"text"},"sustainable_development_goals":[{"score":0.4300000071525574,"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3089068829.pdf","grobid_xml":"https://content.openalex.org/works/W3089068829.grobid-xml"},"referenced_works_count":56,"referenced_works":["https://openalex.org/W9657784","https://openalex.org/W1545056863","https://openalex.org/W1707848225","https://openalex.org/W1787224781","https://openalex.org/W1893133781","https://openalex.org/W1979354511","https://openalex.org/W2180612164","https://openalex.org/W2408141691","https://openalex.org/W2574797807","https://openalex.org/W2594633041","https://openalex.org/W2603766943","https://openalex.org/W2605409611","https://openalex.org/W2744095836","https://openalex.org/W2746600820","https://openalex.org/W2758551931","https://openalex.org/W2784452215","https://openalex.org/W2785760873","https://openalex.org/W2798159728","https://openalex.org/W2890991187","https://openalex.org/W2901939789","https://openalex.org/W2913866791","https://openalex.org/W2942630857","https://openalex.org/W2948889085","https://openalex.org/W2962862931","https://openalex.org/W2963062382","https://openalex.org/W2963070423","https://openalex.org/W2963106521","https://openalex.org/W2963207607","https://openalex.org/W2963767972","https://openalex.org/W2964153729","https://openalex.org/W2964285471","https://openalex.org/W3030612040","https://openalex.org/W3090855408","https://openalex.org/W3103836116","https://openalex.org/W3113062381","https://openalex.org/W4255898812","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6714069269","https://openalex.org/W6734194636","https://openalex.org/W6736518430","https://openalex.org/W6737947904","https://openalex.org/W6745899033","https://openalex.org/W6746608116","https://openalex.org/W6747489574","https://openalex.org/W6748218292","https://openalex.org/W6748325151","https://openalex.org/W6750318962","https://openalex.org/W6750404860","https://openalex.org/W6754778609","https://openalex.org/W6755542038","https://openalex.org/W6756868246","https://openalex.org/W6759329600","https://openalex.org/W6761839128","https://openalex.org/W6767127223","https://openalex.org/W6768175310"],"related_works":["https://openalex.org/W1964538485","https://openalex.org/W3125213333","https://openalex.org/W3167308918","https://openalex.org/W3023854111","https://openalex.org/W3041676721","https://openalex.org/W2598549816","https://openalex.org/W2803678876","https://openalex.org/W2948318201","https://openalex.org/W3205795361","https://openalex.org/W3120472682","https://openalex.org/W2787710446","https://openalex.org/W3086146226","https://openalex.org/W2788235277","https://openalex.org/W3195497129","https://openalex.org/W3037266788","https://openalex.org/W3046957164","https://openalex.org/W3022481035","https://openalex.org/W3037085720","https://openalex.org/W2962847335","https://openalex.org/W3165670269"],"abstract_inverted_index":{"In":[0,96,137],"recent":[1],"years,":[2],"the":[3,69,94,106,117,148,192,201],"topic":[4],"of":[5,119,150,152,177,194,203,206],"explainable":[6,43],"machine":[7],"learning":[8],"(ML)":[9],"has":[10],"been":[11],"extensively":[12],"researched.":[13],"Up":[14],"until":[15],"now,":[16],"this":[17,97],"research":[18],"focused":[19],"on":[20,168],"regular":[21],"ML":[22,29,44],"users":[23],"use-cases":[24],"such":[25,55],"as":[26],"debugging":[27],"a":[28,34,77,101,123,133,174],"model.":[30],"This":[31],"paper":[32],"takes":[33],"different":[35,102,160,163,169],"posture":[36],"and":[37,61,87,129,166,190],"show":[38],"that":[39,80,154,182],"adversaries":[40,189],"can":[41,185],"leverage":[42],"to":[45,66,85,139,159,209],"bypass":[46],"multi-feature":[47],"types":[48],"malware":[49,71],"classifiers.":[50],"Previous":[51],"adversarial":[52,107,210],"attacks":[53,75],"against":[54],"classifiers":[56,161,198,208],"only":[57],"add":[58],"new":[59],"features":[60,84,93,121,164],"not":[62],"modify":[63,86],"existing":[64],"ones":[65],"avoid":[67],"harming":[68],"modified":[70],"executable's":[72],"functionality.":[73],"Current":[74],"use":[76],"single":[78],"algorithm":[79],"both":[81],"selects":[82],"which":[83],"modifies":[88],"them":[89],"blindly,":[90],"treating":[91],"all":[92,120],"same.":[95],"paper,":[98],"we":[99,115,131,146],"present":[100],"approach.":[103],"We":[104,180],"split":[105],"example":[108],"generation":[109],"task":[110],"into":[111],"two":[112],"parts:":[113],"First":[114],"find":[116],"importance":[118],"for":[122],"specific":[124],"sample":[125],"using":[126,162],"explainability":[127,157,183],"algorithms,":[128],"then":[130],"conduct":[132],"feature-specific":[134],"modification,":[135],"feature-by-feature.":[136],"order":[138],"apply":[140],"our":[141],"attack":[142],"in":[143,173],"black-box":[144],"scenarios,":[145],"introduce":[147],"concept":[149],"transferability":[151],"explainability,":[153],"is,":[155],"applying":[156],"algorithms":[158,184],"subsets":[165],"trained":[167],"datasets":[170],"still":[171],"result":[172],"similar":[175],"subset":[176],"important":[178],"features.":[179],"conclude":[181],"be":[186],"leveraged":[187],"by":[188],"thus":[191],"advocates":[193],"training":[195],"more":[196],"interpretable":[197],"should":[199],"consider":[200],"trade-off":[202],"higher":[204],"vulnerability":[205],"those":[207],"attacks.":[211]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2026-03-21T08:13:44.787528","created_date":"2022-07-25T00:00:00"}