{"id":"https://openalex.org/W4386088175","doi":"https://doi.org/10.1109/tsmc.2023.3302838","title":"Adversarial Attacks on Regression Systems via Gradient Optimization","display_name":"Adversarial Attacks on Regression Systems via Gradient Optimization","publication_year":2023,"publication_date":"2023-08-23","ids":{"openalex":"https://openalex.org/W4386088175","doi":"https://doi.org/10.1109/tsmc.2023.3302838"},"language":"en","primary_location":{"id":"doi:10.1109/tsmc.2023.3302838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2023.3302838","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","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/A5008083038","display_name":"Xiangyin Kong","orcid":"https://orcid.org/0000-0003-4217-6103"},"institutions":[{"id":"https://openalex.org/I4391767838","display_name":"State Key Laboratory of Industrial Control Technology","ror":"https://ror.org/03a33a786","country_code":null,"type":"facility","lineage":["https://openalex.org/I4391767838","https://openalex.org/I76130692"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiangyin Kong","raw_affiliation_strings":["State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"State Key Laboratory of Industrial Control Technology, College of Control Science and Engineering, Zhejiang University, Hangzhou, China","institution_ids":["https://openalex.org/I4391767838"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5067726465","display_name":"Zhiqiang Ge","orcid":"https://orcid.org/0000-0002-2071-4380"},"institutions":[{"id":"https://openalex.org/I4210136793","display_name":"Peng Cheng Laboratory","ror":"https://ror.org/03qdqbt06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210136793"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhiqiang Ge","raw_affiliation_strings":["Peng Cheng Laboratory, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"Peng Cheng Laboratory, Shenzhen, China","institution_ids":["https://openalex.org/I4210136793"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5008083038"],"corresponding_institution_ids":["https://openalex.org/I4391767838"],"apc_list":null,"apc_paid":null,"fwci":2.6185,"has_fulltext":false,"cited_by_count":15,"citation_normalized_percentile":{"value":0.91791518,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"53","issue":"12","first_page":"7827","last_page":"7839"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9872000217437744,"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":0.9761999845504761,"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":0.7360095977783203},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.6693713665008545},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6601503491401672},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5931448936462402},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5351231098175049},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.49736908078193665},{"id":"https://openalex.org/keywords/adversarial-machine-learning","display_name":"Adversarial machine learning","score":0.46098220348358154},{"id":"https://openalex.org/keywords/vulnerability","display_name":"Vulnerability (computing)","score":0.43651577830314636},{"id":"https://openalex.org/keywords/computer-security","display_name":"Computer security","score":0.14202898740768433},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1401207149028778},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13543561100959778}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.7360095977783203},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.6693713665008545},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6601503491401672},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5931448936462402},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5351231098175049},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.49736908078193665},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.46098220348358154},{"id":"https://openalex.org/C95713431","wikidata":"https://www.wikidata.org/wiki/Q631425","display_name":"Vulnerability (computing)","level":2,"score":0.43651577830314636},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.14202898740768433},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1401207149028778},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13543561100959778}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tsmc.2023.3302838","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tsmc.2023.3302838","pdf_url":null,"source":{"id":"https://openalex.org/S4210209078","display_name":"IEEE Transactions on Systems Man and Cybernetics Systems","issn_l":"2168-2216","issn":["2168-2216","2168-2232"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Systems, Man, and Cybernetics: Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Peace, Justice and strong institutions","score":0.6499999761581421,"id":"https://metadata.un.org/sdg/16"}],"awards":[{"id":"https://openalex.org/G1987348790","display_name":null,"funder_award_id":"61833014","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G5209165107","display_name":null,"funder_award_id":"62103362","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8062479867","display_name":null,"funder_award_id":"92167106","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W1901616594","https://openalex.org/W2120841219","https://openalex.org/W2180612164","https://openalex.org/W2194775991","https://openalex.org/W2243397390","https://openalex.org/W2604505099","https://openalex.org/W2744067593","https://openalex.org/W2765424254","https://openalex.org/W2890883923","https://openalex.org/W2904331652","https://openalex.org/W2947230027","https://openalex.org/W2975486888","https://openalex.org/W2996739861","https://openalex.org/W2997591727","https://openalex.org/W3007066689","https://openalex.org/W3103557498","https://openalex.org/W3105806188","https://openalex.org/W3115892855","https://openalex.org/W3119315021","https://openalex.org/W3157761116","https://openalex.org/W3161569236","https://openalex.org/W3175232532","https://openalex.org/W3178756396","https://openalex.org/W4205142581","https://openalex.org/W4206073508","https://openalex.org/W4206279568","https://openalex.org/W4210622448","https://openalex.org/W4213452017","https://openalex.org/W4220952101","https://openalex.org/W4225573176","https://openalex.org/W4282004787","https://openalex.org/W4285242215","https://openalex.org/W4293846201","https://openalex.org/W4300960307","https://openalex.org/W4308906783","https://openalex.org/W4309191552","https://openalex.org/W4312831725","https://openalex.org/W4378802478","https://openalex.org/W6640425456","https://openalex.org/W6719080892","https://openalex.org/W6752358724","https://openalex.org/W6754363872","https://openalex.org/W6754407747","https://openalex.org/W6754854422","https://openalex.org/W6756697934","https://openalex.org/W6766301176","https://openalex.org/W6766978945","https://openalex.org/W6773877805","https://openalex.org/W6774469542","https://openalex.org/W6801063282"],"related_works":["https://openalex.org/W3048732067","https://openalex.org/W4383468834","https://openalex.org/W4283221438","https://openalex.org/W2900159906","https://openalex.org/W4384648009","https://openalex.org/W4287828318","https://openalex.org/W2406556600","https://openalex.org/W4380352238","https://openalex.org/W3126470649","https://openalex.org/W2930249865"],"abstract_inverted_index":{"Adversarial":[0],"attack":[1,43,73,94,117,138,142],"can":[2,158],"fabricate":[3],"imperceptible":[4],"fake":[5],"samples":[6],"to":[7,135,186],"cheat":[8],"a":[9,164,173],"well-trained":[10],"artificial":[11],"intelligence":[12],"(AI)":[13],"model,":[14],"and":[15,87,113,151,184,190],"it":[16],"has":[17,62],"shown":[18],"strong":[19],"destructive":[20],"power":[21],"in":[22,47],"many":[23],"classification":[24,85,97],"tasks.":[25],"In":[26],"real-world":[27,148],"AI":[28],"applications,":[29],"there":[30],"is":[31,99],"another":[32],"popular":[33],"kind":[34],"of":[35,41,58,96,110,192],"machine":[36],"learning":[37],"paradigm\u2014regression.":[38],"The":[39,140],"threats":[40],"adversarial":[42,56,72],"may":[44],"also":[45],"exist":[46],"the":[48,52,55,59,71,80,83,92,108,137,152,161,177,188,193],"regression":[49,60,75,88,103,111,120,149],"scenario,":[50],"however,":[51],"research":[53],"on":[54,74,132,146,176],"vulnerability":[57],"model":[61],"been":[63],"basically":[64],"neglected.":[65],"This":[66],"article":[67],"first":[68],"systematically":[69],"explores":[70],"problems.":[76,121],"Starting":[77],"from":[78,166,196],"analyzing":[79],"difference":[81],"between":[82],"attacking":[84,102],"models":[86],"systems,":[89],"we":[90,106,124,180],"show":[91,154],"existing":[93],"framework":[95],"problems":[98],"unsuitable":[100],"for":[101,119],"systems.":[104],"Then,":[105],"discuss":[107,187],"essence":[109],"tasks":[112],"design":[114],"an":[115],"appropriate":[116],"objective":[118],"After":[122],"that,":[123],"propose":[125],"two":[126],"algorithms":[127],"with":[128],"different":[129],"properties":[130],"based":[131],"gradient":[133],"optimization":[134],"achieve":[136],"objective.":[139],"proposed":[141,194],"methods":[143,195],"are":[144],"evaluated":[145],"three":[147],"cases,":[150],"results":[153],"that":[155],"our":[156],"attacks":[157],"successfully":[159],"make":[160],"prediction":[162],"deviate":[163],"lot":[165],"its":[167],"original":[168],"value":[169],"by":[170],"only":[171],"exerting":[172],"tiny":[174],"perturbation":[175],"inputs.":[178],"Finally,":[179],"conduct":[181],"further":[182],"experiments":[183],"analyses":[185],"effectiveness":[189],"characteristics":[191],"various":[197],"perspectives.":[198]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}