{"id":"https://openalex.org/W4210781309","doi":"https://doi.org/10.1142/s0218001422540052","title":"Defense Against Adversarial Attacks Based on Stochastic Descent Sign Activation Networks on Medical Images","display_name":"Defense Against Adversarial Attacks Based on Stochastic Descent Sign Activation Networks on Medical Images","publication_year":2022,"publication_date":"2022-01-29","ids":{"openalex":"https://openalex.org/W4210781309","doi":"https://doi.org/10.1142/s0218001422540052"},"language":"en","primary_location":{"id":"doi:10.1142/s0218001422540052","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422540052","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-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/A5049827046","display_name":"Yanan Yang","orcid":"https://orcid.org/0000-0002-2222-393X"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yanan Yang","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083863746","display_name":"Frank Y. Shih","orcid":"https://orcid.org/0000-0002-1507-0285"},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]},{"id":"https://openalex.org/I143578492","display_name":"Asia University","ror":"https://ror.org/038a1tp19","country_code":"TW","type":"education","lineage":["https://openalex.org/I143578492"]}],"countries":["TW","US"],"is_corresponding":true,"raw_author_name":"Frank Y. Shih","raw_affiliation_strings":["Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan, R. O. China","Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science and Information Engineering, Asia University, Taichung, Taiwan, R. O. China","institution_ids":["https://openalex.org/I143578492"]},{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA","institution_ids":["https://openalex.org/I118118575"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5087990990","display_name":"Usman Roshan","orcid":null},"institutions":[{"id":"https://openalex.org/I118118575","display_name":"New Jersey Institute of Technology","ror":"https://ror.org/05e74xb87","country_code":"US","type":"education","lineage":["https://openalex.org/I118118575"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Usman Roshan","raw_affiliation_strings":["Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA"],"affiliations":[{"raw_affiliation_string":"Department of Computer Science, New Jersey Institute of Technology, Newark, NJ 07102, USA","institution_ids":["https://openalex.org/I118118575"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5083863746"],"corresponding_institution_ids":["https://openalex.org/I118118575","https://openalex.org/I143578492"],"apc_list":null,"apc_paid":null,"fwci":0.928,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.7784483,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":"36","issue":"03","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9994999766349792,"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":0.9994999766349792,"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/T11636","display_name":"Artificial Intelligence in Healthcare and Education","score":0.9747999906539917,"subfield":{"id":"https://openalex.org/subfields/2718","display_name":"Health Informatics"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}},{"id":"https://openalex.org/T12296","display_name":"Autopsy Techniques and Outcomes","score":0.9714999794960022,"subfield":{"id":"https://openalex.org/subfields/2741","display_name":"Radiology, Nuclear Medicine and Imaging"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.8092826008796692},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7235714197158813},{"id":"https://openalex.org/keywords/deception","display_name":"Deception","score":0.6479637622833252},{"id":"https://openalex.org/keywords/sign","display_name":"Sign (mathematics)","score":0.6255457997322083},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.625298023223877},{"id":"https://openalex.org/keywords/distortion","display_name":"Distortion (music)","score":0.5657802820205688},{"id":"https://openalex.org/keywords/gradient-descent","display_name":"Gradient descent","score":0.4940970242023468},{"id":"https://openalex.org/keywords/transferability","display_name":"Transferability","score":0.4817667007446289},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4608665406703949},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45347172021865845},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4405181407928467},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.416596382856369},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.3541387915611267},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.2974109649658203},{"id":"https://openalex.org/keywords/law","display_name":"Law","score":0.16537854075431824},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13174211978912354}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.8092826008796692},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7235714197158813},{"id":"https://openalex.org/C2779267917","wikidata":"https://www.wikidata.org/wiki/Q170028","display_name":"Deception","level":2,"score":0.6479637622833252},{"id":"https://openalex.org/C139676723","wikidata":"https://www.wikidata.org/wiki/Q1193832","display_name":"Sign (mathematics)","level":2,"score":0.6255457997322083},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.625298023223877},{"id":"https://openalex.org/C126780896","wikidata":"https://www.wikidata.org/wiki/Q899871","display_name":"Distortion (music)","level":4,"score":0.5657802820205688},{"id":"https://openalex.org/C153258448","wikidata":"https://www.wikidata.org/wiki/Q1199743","display_name":"Gradient descent","level":3,"score":0.4940970242023468},{"id":"https://openalex.org/C61272859","wikidata":"https://www.wikidata.org/wiki/Q7834031","display_name":"Transferability","level":3,"score":0.4817667007446289},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4608665406703949},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45347172021865845},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4405181407928467},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.416596382856369},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.3541387915611267},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.2974109649658203},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.16537854075431824},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13174211978912354},{"id":"https://openalex.org/C194257627","wikidata":"https://www.wikidata.org/wiki/Q211554","display_name":"Amplifier","level":3,"score":0.0},{"id":"https://openalex.org/C140331021","wikidata":"https://www.wikidata.org/wiki/Q1868104","display_name":"Logit","level":2,"score":0.0},{"id":"https://openalex.org/C2776257435","wikidata":"https://www.wikidata.org/wiki/Q1576430","display_name":"Bandwidth (computing)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1142/s0218001422540052","is_oa":false,"landing_page_url":"https://doi.org/10.1142/s0218001422540052","pdf_url":null,"source":{"id":"https://openalex.org/S41486457","display_name":"International Journal of Pattern Recognition and Artificial Intelligence","issn_l":"0218-0014","issn":["0218-0014","1793-6381"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319815","host_organization_name":"World Scientific","host_organization_lineage":["https://openalex.org/P4310319815"],"host_organization_lineage_names":["World Scientific"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"International Journal of Pattern Recognition and Artificial Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","display_name":"Peace, Justice and strong institutions","score":0.8399999737739563}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W9657784","https://openalex.org/W2112796928","https://openalex.org/W2180612164","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2269778407","https://openalex.org/W2342045095","https://openalex.org/W2435090885","https://openalex.org/W2594877703","https://openalex.org/W2890430415","https://openalex.org/W2911964244","https://openalex.org/W2924551358","https://openalex.org/W2951055820","https://openalex.org/W2963098487","https://openalex.org/W2963857521","https://openalex.org/W2964082701","https://openalex.org/W2969542116","https://openalex.org/W3008354844","https://openalex.org/W3015625436","https://openalex.org/W3083758393","https://openalex.org/W3103836116","https://openalex.org/W3107645027","https://openalex.org/W3127189741","https://openalex.org/W3131397572","https://openalex.org/W3132910243","https://openalex.org/W4212774754"],"related_works":["https://openalex.org/W4288055406","https://openalex.org/W3137894200","https://openalex.org/W3092178728","https://openalex.org/W4226402597","https://openalex.org/W4200630034","https://openalex.org/W3132910851","https://openalex.org/W4377864639","https://openalex.org/W2997056298","https://openalex.org/W2950864148","https://openalex.org/W2570685808"],"abstract_inverted_index":{"Machine":[0],"learning":[1],"techniques":[2],"in":[3,12,40,107],"medical":[4,57,161],"imaging":[5,58],"systems":[6,26],"are":[7,120],"accurate,":[8],"but":[9],"minor":[10],"perturbations":[11],"the":[13,25,44,77,94,109,132],"data":[14],"known":[15],"as":[16],"adversarial":[17,54,110,140],"attacks":[18,23,55,141],"can":[19],"fool":[20],"them.":[21],"These":[22],"make":[24],"vulnerable":[27],"to":[28,50,71,138,143],"fraud":[29],"and":[30,32,52,86,96,118,122,146,159],"deception,":[31],"thus":[33],"a":[34,65,136,154],"significant":[35,155],"challenge":[36],"has":[37],"been":[38],"posed":[39],"practice.":[41],"We":[42],"present":[43],"gradient-free":[45],"trained":[46],"sign":[47,133],"activation":[48],"networks":[49],"detect":[51],"deter":[53],"on":[56,82,149],"AI":[59,162],"systems.":[60,163],"Experimental":[61],"results":[62],"show":[63],"that":[64,123,131],"higher":[66],"distortion":[67,145],"value":[68],"is":[69,97,112,126,129,135,153],"required":[70],"attack":[72],"our":[73,91,105],"proposed":[74],"model":[75,92,106],"than":[76],"other":[78],"existing":[79],"state-of-the-art":[80],"models":[81],"MRI,":[83],"Chest":[84],"X-ray,":[85],"Histopathology":[87],"image":[88],"datasets,":[89],"where":[90],"outperforms":[93],"best":[95],"even":[98],"twice":[99],"superior.":[100],"The":[101],"average":[102],"accuracy":[103,148],"of":[104,124],"classifying":[108],"examples":[111],"88.89%,":[113],"whereas":[114],"those":[115],"for":[116],"MLP":[117],"LeNet":[119],"81.48%,":[121],"ResNet18":[125],"38.89%.":[127],"It":[128],"concluded":[130],"network":[134],"solution":[137],"defend":[139],"due":[142],"high":[144,147],"transferability.":[150],"Our":[151],"work":[152],"step":[156],"towards":[157],"safe":[158],"secure":[160]},"counts_by_year":[{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":4},{"year":2022,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}