{"id":"https://openalex.org/W7124898633","doi":"https://doi.org/10.1109/cvmi66673.2025.11337510","title":"Data Poisoning Attacks and Defenses in Machine Learning: A Survey with Focus on Computer Vision","display_name":"Data Poisoning Attacks and Defenses in Machine Learning: A Survey with Focus on Computer Vision","publication_year":2025,"publication_date":"2025-10-12","ids":{"openalex":"https://openalex.org/W7124898633","doi":"https://doi.org/10.1109/cvmi66673.2025.11337510"},"language":null,"primary_location":{"id":"doi:10.1109/cvmi66673.2025.11337510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi66673.2025.11337510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","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/A5123406444","display_name":"Bassam Nazer","orcid":null},"institutions":[{"id":"https://openalex.org/I156406944","display_name":"Defence Institute of Advanced Technology","ror":"https://ror.org/05qpbfx18","country_code":"IN","type":"education","lineage":["https://openalex.org/I156406944"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Bassam Nazer","raw_affiliation_strings":["Defence Institute of Advanced Technology,Department of Applied Mathematics,Pune,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defence Institute of Advanced Technology,Department of Applied Mathematics,Pune,India","institution_ids":["https://openalex.org/I156406944"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5123400627","display_name":"Poornima Savadattimath","orcid":null},"institutions":[{"id":"https://openalex.org/I156406944","display_name":"Defence Institute of Advanced Technology","ror":"https://ror.org/05qpbfx18","country_code":"IN","type":"education","lineage":["https://openalex.org/I156406944"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Poornima Savadattimath","raw_affiliation_strings":["Defence Institute of Advanced Technology,Department of Applied Mathematics,Pune,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defence Institute of Advanced Technology,Department of Applied Mathematics,Pune,India","institution_ids":["https://openalex.org/I156406944"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5123385448","display_name":"Sushma Kumari","orcid":null},"institutions":[{"id":"https://openalex.org/I156406944","display_name":"Defence Institute of Advanced Technology","ror":"https://ror.org/05qpbfx18","country_code":"IN","type":"education","lineage":["https://openalex.org/I156406944"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Sushma Kumari","raw_affiliation_strings":["Defence Institute of Advanced Technology,Department of Applied Mathematics,Pune,India"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Defence Institute of Advanced Technology,Department of Applied Mathematics,Pune,India","institution_ids":["https://openalex.org/I156406944"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.79797393,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9828000068664551,"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":0.9828000068664551,"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/T11424","display_name":"Security and Verification in Computing","score":0.006800000090152025,"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":0.002400000113993883,"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/backdoor","display_name":"Backdoor","score":0.8467000126838684},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.650600016117096},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5343999862670898},{"id":"https://openalex.org/keywords/cornerstone","display_name":"Cornerstone","score":0.43959999084472656},{"id":"https://openalex.org/keywords/trojan","display_name":"Trojan","score":0.4018000066280365},{"id":"https://openalex.org/keywords/compromise","display_name":"Compromise","score":0.3813000023365021},{"id":"https://openalex.org/keywords/training-set","display_name":"Training set","score":0.3734999895095825}],"concepts":[{"id":"https://openalex.org/C2781045450","wikidata":"https://www.wikidata.org/wiki/Q254569","display_name":"Backdoor","level":2,"score":0.8467000126838684},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.650600016117096},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.6176000237464905},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6128000020980835},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5343999862670898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.4672999978065491},{"id":"https://openalex.org/C2780616401","wikidata":"https://www.wikidata.org/wiki/Q1133673","display_name":"Cornerstone","level":2,"score":0.43959999084472656},{"id":"https://openalex.org/C174333608","wikidata":"https://www.wikidata.org/wiki/Q19635","display_name":"Trojan","level":2,"score":0.4018000066280365},{"id":"https://openalex.org/C46355384","wikidata":"https://www.wikidata.org/wiki/Q726686","display_name":"Compromise","level":2,"score":0.3813000023365021},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.3734999895095825},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.37070000171661377},{"id":"https://openalex.org/C2776196576","wikidata":"https://www.wikidata.org/wiki/Q196113","display_name":"Camouflage","level":2,"score":0.3375000059604645},{"id":"https://openalex.org/C3017944768","wikidata":"https://www.wikidata.org/wiki/Q1450463","display_name":"Poison control","level":2,"score":0.33629998564720154},{"id":"https://openalex.org/C2778403875","wikidata":"https://www.wikidata.org/wiki/Q20312394","display_name":"Adversarial machine learning","level":3,"score":0.31869998574256897},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.3052999973297119},{"id":"https://openalex.org/C41065033","wikidata":"https://www.wikidata.org/wiki/Q2825412","display_name":"Adversary","level":2,"score":0.298799991607666},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.28540000319480896},{"id":"https://openalex.org/C2986045029","wikidata":"https://www.wikidata.org/wiki/Q294240","display_name":"Public security","level":2,"score":0.2825999855995178},{"id":"https://openalex.org/C163985040","wikidata":"https://www.wikidata.org/wiki/Q1172399","display_name":"Data acquisition","level":2,"score":0.28049999475479126},{"id":"https://openalex.org/C10511746","wikidata":"https://www.wikidata.org/wiki/Q899388","display_name":"Data security","level":3,"score":0.26759999990463257},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.26339998841285706},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.259799987077713},{"id":"https://openalex.org/C112930515","wikidata":"https://www.wikidata.org/wiki/Q4389547","display_name":"Risk analysis (engineering)","level":1,"score":0.25679999589920044}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cvmi66673.2025.11337510","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvmi66673.2025.11337510","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Computer Vision and Machine Intelligence (CVMI)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5316665768623352,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W1551848773","https://openalex.org/W2934843808","https://openalex.org/W3010216907","https://openalex.org/W3034258347","https://openalex.org/W3048804154","https://openalex.org/W3119570222","https://openalex.org/W3128839796","https://openalex.org/W3135970545","https://openalex.org/W3157391214","https://openalex.org/W3163839567","https://openalex.org/W3163966458","https://openalex.org/W3177116530","https://openalex.org/W3215171287","https://openalex.org/W3217417806","https://openalex.org/W4206683875","https://openalex.org/W4214564822","https://openalex.org/W4214736395","https://openalex.org/W4293704294","https://openalex.org/W4307880022","https://openalex.org/W4318148078","https://openalex.org/W4322736917","https://openalex.org/W4323022560","https://openalex.org/W4386065388","https://openalex.org/W4388145338","https://openalex.org/W4390872938","https://openalex.org/W4413155647","https://openalex.org/W4413822500","https://openalex.org/W4413823518","https://openalex.org/W4413823580"],"related_works":[],"abstract_inverted_index":{"Machine":[0],"Learning":[1],"(ML)":[2],"has":[3,28],"become":[4],"a":[5,58],"cornerstone":[6],"of":[7,61],"modern":[8],"technology,":[9],"driving":[10],"advancements":[11],"in":[12,64],"applications":[13],"from":[14],"computer":[15,66],"vision":[16,67],"to":[17,49],"natural":[18],"language":[19],"processing.":[20],"However,":[21],"the":[22,65],"increasing":[23],"reliance":[24],"on":[25,84],"ML":[26],"models":[27],"made":[29],"them":[30],"attractive":[31],"targets":[32],"for":[33],"adversarial":[34],"manipulation,":[35],"particularly":[36],"through":[37],"data":[38,62,98],"poisoning":[39,63,79],"attacks,":[40],"where":[41],"malicious":[42],"samples":[43],"are":[44],"injected":[45],"into":[46],"training":[47,97],"datasets":[48],"compromise":[50],"model":[51,85,102],"integrity":[52,86],"and":[53,77,80,87,104,109],"reliability.":[54],"This":[55],"paper":[56],"presents":[57],"comprehensive":[59],"survey":[60],"domain,":[68],"examining":[69],"major":[70],"attack":[71],"strategies":[72],"such":[73,95],"as":[74,96],"indiscriminate,":[75],"targeted,":[76],"backdoor":[78],"further":[81],"their":[82,107],"impact":[83],"availability.":[88],"We":[89],"also":[90],"analyse":[91],"existing":[92],"defense":[93],"mechanisms":[94],"sanitization,":[99,105],"robust":[100],"training,":[101],"inspection":[103],"outlining":[106],"strengths":[108],"limitations.":[110]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2026-01-21T00:00:00"}
