{"id":"https://openalex.org/W2900971432","doi":"https://doi.org/10.1109/globalsip.2018.8646651","title":"Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM","display_name":"Reinforced Adversarial Attacks on Deep Neural Networks Using ADMM","publication_year":2018,"publication_date":"2018-11-01","ids":{"openalex":"https://openalex.org/W2900971432","doi":"https://doi.org/10.1109/globalsip.2018.8646651","mag":"2900971432"},"language":"en","primary_location":{"id":"doi:10.1109/globalsip.2018.8646651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","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/A5073885088","display_name":"Pu Zhao","orcid":"https://orcid.org/0000-0001-5018-2859"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pu Zhao","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102775611","display_name":"Kaidi Xu","orcid":"https://orcid.org/0000-0003-4437-0671"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Kaidi Xu","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101507891","display_name":"Tianyun Zhang","orcid":"https://orcid.org/0000-0002-2475-6414"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tianyun Zhang","raw_affiliation_strings":["College of Engineering & Computer Science, Syracuse University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering & Computer Science, Syracuse University","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057639149","display_name":"Makan Fardad","orcid":"https://orcid.org/0000-0003-4643-0535"},"institutions":[{"id":"https://openalex.org/I70983195","display_name":"Syracuse University","ror":"https://ror.org/025r5qe02","country_code":"US","type":"education","lineage":["https://openalex.org/I70983195"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Makan Fardad","raw_affiliation_strings":["College of Engineering & Computer Science, Syracuse University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Engineering & Computer Science, Syracuse University","institution_ids":["https://openalex.org/I70983195"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100651384","display_name":"Yanzhi Wang","orcid":"https://orcid.org/0000-0002-3024-7990"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanzhi Wang","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University","institution_ids":["https://openalex.org/I12912129"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043582832","display_name":"Xue Lin","orcid":"https://orcid.org/0000-0001-6210-8883"},"institutions":[{"id":"https://openalex.org/I12912129","display_name":"Northeastern University","ror":"https://ror.org/04t5xt781","country_code":"US","type":"education","lineage":["https://openalex.org/I12912129"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Xue Lin","raw_affiliation_strings":["Department of Electrical and Computer Engineering, Northeastern University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Northeastern University","institution_ids":["https://openalex.org/I12912129"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.4527,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67887607,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1169","last_page":"1173"},"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":0.9869999885559082,"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":0.963699996471405,"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/adversarial-system","display_name":"Adversarial system","score":0.904649019241333},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7095811367034912},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.5916285514831543},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.561451256275177},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5413898825645447},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.33503997325897217}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.904649019241333},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7095811367034912},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.5916285514831543},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.561451256275177},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5413898825645447},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.33503997325897217}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/globalsip.2018.8646651","is_oa":false,"landing_page_url":"https://doi.org/10.1109/globalsip.2018.8646651","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[{"id":"https://openalex.org/F4320306076","display_name":"National Science Foundation","ror":"https://ror.org/021nxhr62"},{"id":"https://openalex.org/F4320337391","display_name":"Division of Civil, Mechanical and Manufacturing Innovation","ror":"https://ror.org/028yd4c30"},{"id":"https://openalex.org/F4320337392","display_name":"Division of Electrical, Communications and Cyber Systems","ror":"https://ror.org/01krpsy48"},{"id":"https://openalex.org/F4320337628","display_name":"U.S. Naval Research Laboratory","ror":"https://ror.org/04d23a975"},{"id":"https://openalex.org/F4320338294","display_name":"Air Force Research Laboratory","ror":"https://ror.org/02e2egq70"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":57,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1673923490","https://openalex.org/W1932198206","https://openalex.org/W1945616565","https://openalex.org/W2105693192","https://openalex.org/W2108598243","https://openalex.org/W2112796928","https://openalex.org/W2145287260","https://openalex.org/W2150695437","https://openalex.org/W2160815625","https://openalex.org/W2164278908","https://openalex.org/W2180612164","https://openalex.org/W2183341477","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2257979135","https://openalex.org/W2460937040","https://openalex.org/W2486441166","https://openalex.org/W2503523779","https://openalex.org/W2620038827","https://openalex.org/W2765384636","https://openalex.org/W2787708942","https://openalex.org/W2787733970","https://openalex.org/W2796620423","https://openalex.org/W2953057288","https://openalex.org/W2963001136","https://openalex.org/W2963143631","https://openalex.org/W2963207607","https://openalex.org/W2963612069","https://openalex.org/W2963685823","https://openalex.org/W2963744840","https://openalex.org/W2963857521","https://openalex.org/W2963920068","https://openalex.org/W2964082701","https://openalex.org/W2964153729","https://openalex.org/W3100646226","https://openalex.org/W3118608800","https://openalex.org/W4292363360","https://openalex.org/W4293584023","https://openalex.org/W4300511536","https://openalex.org/W4300677102","https://openalex.org/W4300725094","https://openalex.org/W6631190155","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6682270173","https://openalex.org/W6719080892","https://openalex.org/W6722479552","https://openalex.org/W6725195833","https://openalex.org/W6734483310","https://openalex.org/W6744511767","https://openalex.org/W6745272055","https://openalex.org/W6746402973","https://openalex.org/W6748475379","https://openalex.org/W6748711285","https://openalex.org/W6785372899","https://openalex.org/W6787972765"],"related_works":["https://openalex.org/W2950183588","https://openalex.org/W3080754722","https://openalex.org/W4383221314","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"],"abstract_inverted_index":{"As":[0],"deep":[1,16],"learning":[2],"penetrates":[3],"into":[4],"wide":[5],"application":[6],"domains,":[7],"it":[8],"is":[9,84],"essential":[10],"to":[11,59,87],"evaluate":[12],"the":[13,31],"robustness":[14],"of":[15,34,51],"neural":[17],"networks":[18],"(DNNs)":[19],"under":[20],"adversarial":[21,43,95],"attacks,":[22],"especially":[23],"for":[24,41,74],"some":[25],"security-critical":[26],"applications.":[27],"To":[28],"better":[29],"understand":[30],"security":[32],"properties":[33],"DNNs,":[35],"we":[36],"propose":[37],"a":[38],"general":[39,54],"framework":[40,55],"constructing":[42],"examples,":[44],"based":[45],"on":[46],"ADMM":[47,69,82],"(Alternating":[48],"Direction":[49],"Method":[50],"Multipliers).":[52],"This":[53],"can":[56],"be":[57],"adapted":[58],"implement":[60],"L2":[61],"and":[62,94,97],"L0":[63],"attacks":[64,70],"with":[65,78],"minor":[66],"changes.":[67],"Our":[68,81],"require":[71],"less":[72],"distortion":[73],"incorrect":[75],"classification":[76],"compared":[77],"C&W":[79],"attacks.":[80],"attack":[83,100],"also":[85],"able":[86],"break":[88],"defenses":[89],"such":[90],"as":[91],"defensive":[92],"distillation":[93],"training,":[96],"provide":[98],"strong":[99],"transferability.":[101]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
