{"id":"https://openalex.org/W2754049786","doi":"https://doi.org/10.1145/3134600.3134606","title":"Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification","display_name":"Mitigating Evasion Attacks to Deep Neural Networks via Region-based Classification","publication_year":2017,"publication_date":"2017-12-04","ids":{"openalex":"https://openalex.org/W2754049786","doi":"https://doi.org/10.1145/3134600.3134606","mag":"2754049786"},"language":"en","primary_location":{"id":"doi:10.1145/3134600.3134606","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3134600.3134606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual Computer Security Applications Conference","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/A5032504910","display_name":"Xiaoyu Cao","orcid":"https://orcid.org/0000-0002-9403-2059"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Xiaoyu Cao","raw_affiliation_strings":["ECE Department, Iowa State University"],"affiliations":[{"raw_affiliation_string":"ECE Department, Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5009102659","display_name":"Neil Zhenqiang Gong","orcid":"https://orcid.org/0000-0002-9900-9309"},"institutions":[{"id":"https://openalex.org/I173911158","display_name":"Iowa State University","ror":"https://ror.org/04rswrd78","country_code":"US","type":"education","lineage":["https://openalex.org/I173911158"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neil Zhenqiang Gong","raw_affiliation_strings":["ECE Department, Iowa State University"],"affiliations":[{"raw_affiliation_string":"ECE Department, Iowa State University","institution_ids":["https://openalex.org/I173911158"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5032504910"],"corresponding_institution_ids":["https://openalex.org/I173911158"],"apc_list":null,"apc_paid":null,"fwci":16.4086,"has_fulltext":false,"cited_by_count":178,"citation_normalized_percentile":{"value":0.99246943,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":96,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"278","last_page":"287"},"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":0.9915000200271606,"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":0.9810000061988831,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.7892825603485107},{"id":"https://openalex.org/keywords/evasion","display_name":"Evasion (ethics)","score":0.7885176539421082},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.78729248046875},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.7652087211608887},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6941984295845032},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5872613191604614},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5571752786636353},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.46283555030822754},{"id":"https://openalex.org/keywords/natural-language","display_name":"Natural language","score":0.4325448274612427},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3223766088485718}],"concepts":[{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.7892825603485107},{"id":"https://openalex.org/C2781251061","wikidata":"https://www.wikidata.org/wiki/Q5416089","display_name":"Evasion (ethics)","level":3,"score":0.7885176539421082},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.78729248046875},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7652087211608887},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6941984295845032},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5872613191604614},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5571752786636353},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.46283555030822754},{"id":"https://openalex.org/C195324797","wikidata":"https://www.wikidata.org/wiki/Q33742","display_name":"Natural language","level":2,"score":0.4325448274612427},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3223766088485718},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C8891405","wikidata":"https://www.wikidata.org/wiki/Q1059","display_name":"Immune system","level":2,"score":0.0},{"id":"https://openalex.org/C203014093","wikidata":"https://www.wikidata.org/wiki/Q101929","display_name":"Immunology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3134600.3134606","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3134600.3134606","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 33rd Annual Computer Security Applications Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16","score":0.6800000071525574}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1673923490","https://openalex.org/W1945616565","https://openalex.org/W2095577883","https://openalex.org/W2160815625","https://openalex.org/W2162552722","https://openalex.org/W2180612164","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2257979135","https://openalex.org/W2559840118","https://openalex.org/W2590523583","https://openalex.org/W2593892853","https://openalex.org/W2603766943","https://openalex.org/W2613314732","https://openalex.org/W2618043096","https://openalex.org/W2618530766","https://openalex.org/W2949506549","https://openalex.org/W2950577311","https://openalex.org/W2950864148","https://openalex.org/W2963857521","https://openalex.org/W2964082701","https://openalex.org/W4292516927","https://openalex.org/W4301726735"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W3093978547","https://openalex.org/W2953536436","https://openalex.org/W3203790781","https://openalex.org/W4313346231","https://openalex.org/W2738001131","https://openalex.org/W4285785480","https://openalex.org/W2997056298","https://openalex.org/W4298079292"],"abstract_inverted_index":{"Deep":[0],"neural":[1],"networks":[2],"(DNNs)":[3],"have":[4,37],"transformed":[5],"several":[6],"artificial":[7],"intelligence":[8],"research":[9],"areas":[10],"including":[11],"computer":[12],"vision,":[13],"speech":[14],"recognition,":[15],"and":[16,101],"natural":[17],"language":[18],"processing.":[19],"However,":[20],"recent":[21],"studies":[22],"demonstrated":[23],"that":[24,65],"DNNs":[25,98],"are":[26,84,90],"vulnerable":[27],"to":[28,60],"adversarial":[29,80],"manipulations":[30],"at":[31],"testing":[32,39,62,76],"time.":[33],"Specifically,":[34],"suppose":[35],"we":[36],"a":[38,48,55],"example,":[40],"whose":[41],"label":[42],"can":[43,53],"be":[44],"correctly":[45],"predicted":[46],"by":[47],"DNN":[49,67],"classifier.":[50],"An":[51],"attacker":[52],"add":[54],"small":[56],"carefully":[57],"crafted":[58,75],"noise":[59],"the":[61,66,74,93],"example":[63,77],"such":[64,105],"classifier":[68],"predicts":[69],"an":[70],"incorrect":[71],"label,":[72],"where":[73],"is":[78],"called":[79,85],"example.":[81],"Such":[82],"attacks":[83,89],"evasion":[86],"attacks.":[87],"Evasion":[88],"one":[91],"of":[92],"biggest":[94],"challenges":[95],"for":[96],"deploying":[97],"in":[99],"safety":[100],"security":[102],"critical":[103],"applications":[104],"as":[106],"self-driving":[107],"cars.":[108]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":6},{"year":2024,"cited_by_count":17},{"year":2023,"cited_by_count":20},{"year":2022,"cited_by_count":15},{"year":2021,"cited_by_count":40},{"year":2020,"cited_by_count":38},{"year":2019,"cited_by_count":28},{"year":2018,"cited_by_count":13}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
