{"id":"https://openalex.org/W3094304065","doi":"https://doi.org/10.1109/mlsp49062.2020.9231583","title":"Adversarial Attacks on Hierarchical Composite Classifiers VIA Convex Programming","display_name":"Adversarial Attacks on Hierarchical Composite Classifiers VIA Convex Programming","publication_year":2020,"publication_date":"2020-09-01","ids":{"openalex":"https://openalex.org/W3094304065","doi":"https://doi.org/10.1109/mlsp49062.2020.9231583","mag":"3094304065"},"language":"en","primary_location":{"id":"doi:10.1109/mlsp49062.2020.9231583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp49062.2020.9231583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)","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/A5003538946","display_name":"Ismail Alkhouri","orcid":"https://orcid.org/0000-0002-5754-5509"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Ismail Alkhouri","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003612688","display_name":"George Atia","orcid":"https://orcid.org/0000-0001-7958-9855"},"institutions":[{"id":"https://openalex.org/I106165777","display_name":"University of Central Florida","ror":"https://ror.org/036nfer12","country_code":"US","type":"education","lineage":["https://openalex.org/I106165777"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"George K. Atia","raw_affiliation_strings":["Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, University of Central Florida, Orlando, FL, USA","institution_ids":["https://openalex.org/I106165777"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5003538946"],"corresponding_institution_ids":["https://openalex.org/I106165777"],"apc_list":null,"apc_paid":null,"fwci":0.3977,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.69295809,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"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/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9997000098228455,"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":0.9997000098228455,"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9426000118255615,"subfield":{"id":"https://openalex.org/subfields/1708","display_name":"Hardware and Architecture"},"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/T11533","display_name":"Melanoma and MAPK Pathways","score":0.9144999980926514,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6267664432525635},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5525741577148438},{"id":"https://openalex.org/keywords/composite-number","display_name":"Composite number","score":0.4648666977882385},{"id":"https://openalex.org/keywords/regular-polygon","display_name":"Regular polygon","score":0.45432746410369873},{"id":"https://openalex.org/keywords/convex-combination","display_name":"Convex combination","score":0.4499165713787079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.44526758790016174},{"id":"https://openalex.org/keywords/convex-optimization","display_name":"Convex optimization","score":0.4369453191757202},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.24522531032562256},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.1961781084537506}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6267664432525635},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5525741577148438},{"id":"https://openalex.org/C104779481","wikidata":"https://www.wikidata.org/wiki/Q50707","display_name":"Composite number","level":2,"score":0.4648666977882385},{"id":"https://openalex.org/C112680207","wikidata":"https://www.wikidata.org/wiki/Q714886","display_name":"Regular polygon","level":2,"score":0.45432746410369873},{"id":"https://openalex.org/C111110010","wikidata":"https://www.wikidata.org/wiki/Q2627315","display_name":"Convex combination","level":4,"score":0.4499165713787079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.44526758790016174},{"id":"https://openalex.org/C157972887","wikidata":"https://www.wikidata.org/wiki/Q463359","display_name":"Convex optimization","level":3,"score":0.4369453191757202},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.24522531032562256},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.1961781084537506},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/mlsp49062.2020.9231583","is_oa":false,"landing_page_url":"https://doi.org/10.1109/mlsp49062.2020.9231583","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE 30th International Workshop on Machine Learning for Signal Processing (MLSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1525535255","https://openalex.org/W1971041865","https://openalex.org/W1986080131","https://openalex.org/W2039608000","https://openalex.org/W2049633694","https://openalex.org/W2074295543","https://openalex.org/W2113642685","https://openalex.org/W2142517930","https://openalex.org/W2150766729","https://openalex.org/W2158698691","https://openalex.org/W2159778339","https://openalex.org/W2164278908","https://openalex.org/W2180612164","https://openalex.org/W2243397390","https://openalex.org/W2332450893","https://openalex.org/W2335927902","https://openalex.org/W2411912264","https://openalex.org/W2532662581","https://openalex.org/W2774644650","https://openalex.org/W2897494072","https://openalex.org/W2962700793","https://openalex.org/W2963857521","https://openalex.org/W2964043206","https://openalex.org/W2979878901","https://openalex.org/W3090857213","https://openalex.org/W4292363360","https://openalex.org/W4300046645","https://openalex.org/W6728511736","https://openalex.org/W6755286921"],"related_works":["https://openalex.org/W3153752017","https://openalex.org/W1883388834","https://openalex.org/W2080858045","https://openalex.org/W4288324104","https://openalex.org/W2941078816","https://openalex.org/W940406003","https://openalex.org/W2391091101","https://openalex.org/W2166142773","https://openalex.org/W1621836093","https://openalex.org/W2040676043"],"abstract_inverted_index":{"Adversarial":[0],"perturbation":[1],"attacks":[2],"were":[3],"shown":[4],"to":[5,24,32,69],"inflict":[6],"severe":[7],"damage":[8],"on":[9,44],"simple":[10],"one-stage":[11],"classifiers.":[12],"In":[13],"this":[14],"paper,":[15],"we":[16,78],"examine":[17],"the":[18,49,53,56,63,85],"vulnerability":[19],"of":[20,48],"Hierarchical":[21],"Composite":[22,75],"Classifiers":[23],"such":[25],"attacks.":[26],"We":[27],"formulate":[28],"a":[29,45,82],"maximin":[30],"program":[31],"generate":[33],"perturbations":[34,70],"attacking":[35],"these":[36],"models,":[37],"and":[38],"obtain":[39],"an":[40],"approximate":[41],"solution":[42],"based":[43],"convex":[46],"relaxation":[47],"proposed":[50,54],"program.":[51],"With":[52],"approach,":[55],"relative":[57],"loss":[58],"in":[59,67],"classification":[60],"accuracy":[61],"for":[62,72],"super-labels":[64],"increases":[65],"drastically":[66],"comparison":[68],"generated":[71],"One":[73],"Stage":[74],"Classifiers.":[76],"Additionally,":[77],"show":[79],"that":[80],"fooling":[81],"classifier":[83],"about":[84],"`big":[86],"picture'":[87],"is":[88],"generally":[89],"more":[90],"perceptible.":[91]},"counts_by_year":[{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}