{"id":"https://openalex.org/W3080174580","doi":"https://doi.org/10.1109/isit44484.2020.9174480","title":"CodNN \u2013 Robust Neural Networks From Coded Classification","display_name":"CodNN \u2013 Robust Neural Networks From Coded Classification","publication_year":2020,"publication_date":"2020-06-01","ids":{"openalex":"https://openalex.org/W3080174580","doi":"https://doi.org/10.1109/isit44484.2020.9174480","mag":"3080174580"},"language":"en","primary_location":{"id":"doi:10.1109/isit44484.2020.9174480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit44484.2020.9174480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Information Theory (ISIT)","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/A5048888817","display_name":"Netanel Raviv","orcid":"https://orcid.org/0000-0002-1686-1994"},"institutions":[{"id":"https://openalex.org/I204465549","display_name":"Washington University in St. Louis","ror":"https://ror.org/01yc7t268","country_code":"US","type":"education","lineage":["https://openalex.org/I204465549"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Netanel Raviv","raw_affiliation_strings":["Washington University in St. Louis,Department of Computer Science and Engineering,St. Louis,MO,USA,63130","Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO, USA"],"affiliations":[{"raw_affiliation_string":"Washington University in St. Louis,Department of Computer Science and Engineering,St. Louis,MO,USA,63130","institution_ids":["https://openalex.org/I204465549"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Washington University in St. Louis, St. Louis, MO, USA","institution_ids":["https://openalex.org/I204465549"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100612200","display_name":"Siddharth Jain","orcid":"https://orcid.org/0000-0002-9164-6119"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Siddharth Jain","raw_affiliation_strings":["California Institute of Technology,Department of Electrical Engineering,Pasadena,CA,USA,91125","Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology,Department of Electrical Engineering,Pasadena,CA,USA,91125","institution_ids":["https://openalex.org/I122411786"]},{"raw_affiliation_string":"Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020306966","display_name":"Pulakesh Upadhyaya","orcid":"https://orcid.org/0000-0003-1054-1380"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Pulakesh Upadhyaya","raw_affiliation_strings":["Texas A&#x0026;M University,Department of Computer Science and Engineering,TX,USA","Department of Computer Science and Engineering, Texas A&M University, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&#x0026;M University,Department of Computer Science and Engineering,TX,USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5043861677","display_name":"Jehoshua Bruck","orcid":"https://orcid.org/0000-0001-8474-0812"},"institutions":[{"id":"https://openalex.org/I122411786","display_name":"California Institute of Technology","ror":"https://ror.org/05dxps055","country_code":"US","type":"education","lineage":["https://openalex.org/I122411786"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jehoshua Bruck","raw_affiliation_strings":["California Institute of Technology,Department of Electrical Engineering,Pasadena,CA,USA,91125","Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA"],"affiliations":[{"raw_affiliation_string":"California Institute of Technology,Department of Electrical Engineering,Pasadena,CA,USA,91125","institution_ids":["https://openalex.org/I122411786"]},{"raw_affiliation_string":"Department of Electrical Engineering, California Institute of Technology, Pasadena, CA, USA","institution_ids":["https://openalex.org/I122411786"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5103150810","display_name":"Anxiao Jiang","orcid":"https://orcid.org/0000-0002-0120-7930"},"institutions":[{"id":"https://openalex.org/I91045830","display_name":"Texas A&M University","ror":"https://ror.org/01f5ytq51","country_code":"US","type":"education","lineage":["https://openalex.org/I91045830"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Anxiao Andrew Jiang","raw_affiliation_strings":["Texas A&#x0026;M University,Department of Computer Science and Engineering,TX,USA","Department of Computer Science and Engineering, Texas A&M University, TX, USA"],"affiliations":[{"raw_affiliation_string":"Texas A&#x0026;M University,Department of Computer Science and Engineering,TX,USA","institution_ids":["https://openalex.org/I91045830"]},{"raw_affiliation_string":"Department of Computer Science and Engineering, Texas A&M University, TX, USA","institution_ids":["https://openalex.org/I91045830"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5048888817"],"corresponding_institution_ids":["https://openalex.org/I204465549"],"apc_list":null,"apc_paid":null,"fwci":0.5488,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.73680675,"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":"2688","last_page":"2693"},"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/T12122","display_name":"Physical Unclonable Functions (PUFs) and Hardware Security","score":0.9955000281333923,"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/T12072","display_name":"Machine Learning and Algorithms","score":0.9943000078201294,"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":0.7548927068710327},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5638201236724854},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.541232168674469},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.49190402030944824},{"id":"https://openalex.org/keywords/concatenation","display_name":"Concatenation (mathematics)","score":0.45810651779174805},{"id":"https://openalex.org/keywords/decoding-methods","display_name":"Decoding methods","score":0.4375118017196655},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.4324849247932434},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.43014734983444214},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.37185561656951904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.3244257867336273},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09486502408981323}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7548927068710327},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5638201236724854},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.541232168674469},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.49190402030944824},{"id":"https://openalex.org/C87619178","wikidata":"https://www.wikidata.org/wiki/Q126002","display_name":"Concatenation (mathematics)","level":2,"score":0.45810651779174805},{"id":"https://openalex.org/C57273362","wikidata":"https://www.wikidata.org/wiki/Q576722","display_name":"Decoding methods","level":2,"score":0.4375118017196655},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.4324849247932434},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.43014734983444214},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.37185561656951904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.3244257867336273},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09486502408981323},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C114614502","wikidata":"https://www.wikidata.org/wiki/Q76592","display_name":"Combinatorics","level":1,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/isit44484.2020.9174480","is_oa":false,"landing_page_url":"https://doi.org/10.1109/isit44484.2020.9174480","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Symposium on Information Theory (ISIT)","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":30,"referenced_works":["https://openalex.org/W175152042","https://openalex.org/W1673923490","https://openalex.org/W1891181203","https://openalex.org/W1945616565","https://openalex.org/W1985469991","https://openalex.org/W2144784023","https://openalex.org/W2160495183","https://openalex.org/W2267635276","https://openalex.org/W2497735908","https://openalex.org/W2613574453","https://openalex.org/W2724774209","https://openalex.org/W2748528844","https://openalex.org/W2798302089","https://openalex.org/W2918967742","https://openalex.org/W2963207607","https://openalex.org/W2964153729","https://openalex.org/W2964248614","https://openalex.org/W2964253222","https://openalex.org/W3030209423","https://openalex.org/W3102754027","https://openalex.org/W3182208082","https://openalex.org/W4293846201","https://openalex.org/W4295262505","https://openalex.org/W6607140140","https://openalex.org/W6631455872","https://openalex.org/W6637162671","https://openalex.org/W6640425456","https://openalex.org/W6693397755","https://openalex.org/W6739868092","https://openalex.org/W6760418104"],"related_works":["https://openalex.org/W2373577936","https://openalex.org/W4387678054","https://openalex.org/W3095575180","https://openalex.org/W2389596151","https://openalex.org/W3210882018","https://openalex.org/W2970990331","https://openalex.org/W4379116102","https://openalex.org/W3207178610","https://openalex.org/W3211782752","https://openalex.org/W4309864825"],"abstract_inverted_index":{"Deep":[0],"Neural":[1],"Networks":[2],"(DNNs)":[3],"are":[4,29,81],"a":[5,19,40,100,143,165],"revolutionary":[6],"force":[7],"in":[8,52,178],"the":[9,73,79,110,135,150,160,179,188,192],"ongoing":[10],"information":[11],"revolution,":[12],"and":[13,48,87,118,127,194],"yet":[14],"their":[15,50],"intrinsic":[16],"properties":[17],"remain":[18],"mystery.":[20],"In":[21],"particular,":[22],"it":[23],"is":[24,92,133],"widely":[25],"known":[26],"that":[27,134,159],"DNNs":[28,64,95],"highly":[30],"sensitive":[31],"to":[32,168,175],"noise,":[33],"whether":[34],"adversarial":[35],"or":[36,75],"random.":[37],"This":[38],"poses":[39],"fundamental":[41],"challenge":[42],"for":[43,49,142],"hardware":[44],"implementations":[45],"of":[46,78,103,113,146,171,191],"DNNs,":[47,147],"deployment":[51],"critical":[53],"applications":[54],"such":[55],"as":[56,99],"autonomous":[57],"driving.In":[58],"this":[59],"paper":[60],"we":[61,157],"construct":[62],"robust":[63,121],"via":[65],"error":[66,84],"correcting":[67,85],"codes.":[68,129],"By":[69],"our":[70,106,181],"approach,":[71],"either":[72],"data":[74,126],"internal":[76],"layers":[77],"DNN":[80],"coded":[82,116,161],"with":[83,109],"codes,":[86],"successful":[88],"computation":[89],"under":[90],"noise":[91],"guaranteed.":[93],"Since":[94],"can":[96,139],"be":[97],"seen":[98],"layered":[101],"concatenation":[102],"classification":[104,162],"tasks,":[105],"research":[107],"begins":[108],"core":[111],"task":[112],"classifying":[114],"noisy":[115],"inputs,":[117],"progresses":[119],"towards":[120],"DNNs.We":[122],"focus":[123],"on":[124,186],"binary":[125],"linear":[128],"Our":[130],"main":[131],"result":[132],"prevalent":[136],"parity":[137],"code":[138],"guarantee":[140],"robustness":[141],"large":[144],"family":[145],"which":[148],"includes":[149],"recently":[151],"popularized":[152],"binarized":[153],"neural":[154],"networks.":[155],"Further,":[156],"show":[158],"problem":[163],"has":[164],"deep":[166],"connection":[167],"Fourier":[169],"analysis":[170],"Boolean":[172],"functions.In":[173],"contrast":[174],"existing":[176],"solutions":[177],"literature,":[180],"results":[182],"do":[183],"not":[184],"rely":[185],"altering":[187],"training":[189],"process":[190],"DNN,":[193],"provide":[195],"mathematically":[196],"rigorous":[197],"guarantees":[198],"rather":[199],"than":[200],"experimental":[201],"evidence.":[202]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-14T06:41:57.775601","created_date":"2025-10-10T00:00:00"}
