{"id":"https://openalex.org/W4385484899","doi":"https://doi.org/10.1109/icasspw59220.2023.10193555","title":"Adversarial Attacks & Detection on a Deep Learning-Based Digital Pathology Model","display_name":"Adversarial Attacks & Detection on a Deep Learning-Based Digital Pathology Model","publication_year":2023,"publication_date":"2023-06-04","ids":{"openalex":"https://openalex.org/W4385484899","doi":"https://doi.org/10.1109/icasspw59220.2023.10193555"},"language":"en","primary_location":{"id":"doi:10.1109/icasspw59220.2023.10193555","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw59220.2023.10193555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","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/A5001847699","display_name":"Eleanna Vali","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":true,"raw_author_name":"Eleanna Vali","raw_affiliation_strings":["National Technical University of Athens,School of Electrical & Computer Enginering,Zografou,Greece,157 80"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,School of Electrical & Computer Enginering,Zografou,Greece,157 80","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036405671","display_name":"Georgios Alexandridis","orcid":"https://orcid.org/0000-0002-3611-8292"},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Georgios Alexandridis","raw_affiliation_strings":["National Technical University of Athens,School of Electrical & Computer Enginering,Zografou,Greece,157 80"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,School of Electrical & Computer Enginering,Zografou,Greece,157 80","institution_ids":["https://openalex.org/I174458059"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108612969","display_name":"Andreas Stafylopatis","orcid":null},"institutions":[{"id":"https://openalex.org/I174458059","display_name":"National Technical University of Athens","ror":"https://ror.org/03cx6bg69","country_code":"GR","type":"education","lineage":["https://openalex.org/I174458059"]}],"countries":["GR"],"is_corresponding":false,"raw_author_name":"Andreas Stafylopatis","raw_affiliation_strings":["National Technical University of Athens,School of Electrical & Computer Enginering,Zografou,Greece,157 80"],"affiliations":[{"raw_affiliation_string":"National Technical University of Athens,School of Electrical & Computer Enginering,Zografou,Greece,157 80","institution_ids":["https://openalex.org/I174458059"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5001847699"],"corresponding_institution_ids":["https://openalex.org/I174458059"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.08462569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11689","display_name":"Adversarial Robustness in Machine Learning","score":0.9909999966621399,"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":0.9909999966621399,"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/T12859","display_name":"Cell Image Analysis Techniques","score":0.982699990272522,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"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"}},{"id":"https://openalex.org/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.946399986743927,"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/adversarial-system","display_name":"Adversarial system","score":0.79623943567276},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6354106664657593},{"id":"https://openalex.org/keywords/digital-pathology","display_name":"Digital pathology","score":0.633147120475769},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6071016788482666},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.49214476346969604}],"concepts":[{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.79623943567276},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6354106664657593},{"id":"https://openalex.org/C2777522853","wikidata":"https://www.wikidata.org/wiki/Q5276128","display_name":"Digital pathology","level":2,"score":0.633147120475769},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6071016788482666},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.49214476346969604}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icasspw59220.2023.10193555","is_oa":false,"landing_page_url":"http://dx.doi.org/10.1109/icasspw59220.2023.10193555","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE International Conference on Acoustics, Speech, and Signal Processing Workshops (ICASSPW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.5899999737739563,"id":"https://metadata.un.org/sdg/3","display_name":"Good health and well-being"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1945616565","https://openalex.org/W2194775991","https://openalex.org/W2607219512","https://openalex.org/W2619479788","https://openalex.org/W2765424254","https://openalex.org/W2788633781","https://openalex.org/W2789037848","https://openalex.org/W2964082701","https://openalex.org/W2976398475","https://openalex.org/W3013520104","https://openalex.org/W3021182036","https://openalex.org/W3102720581","https://openalex.org/W3103557498","https://openalex.org/W3204073565","https://openalex.org/W3209495654","https://openalex.org/W3215490101","https://openalex.org/W4221114735","https://openalex.org/W4293584023","https://openalex.org/W4293846201","https://openalex.org/W4293865127","https://openalex.org/W4297573953","https://openalex.org/W6637373629","https://openalex.org/W6640425456","https://openalex.org/W6687483927","https://openalex.org/W6733645847","https://openalex.org/W6734483310","https://openalex.org/W6739868092","https://openalex.org/W6750223653","https://openalex.org/W6768492035"],"related_works":["https://openalex.org/W2731899572","https://openalex.org/W3215138031","https://openalex.org/W3009238340","https://openalex.org/W4321369474","https://openalex.org/W4360585206","https://openalex.org/W4285208911","https://openalex.org/W3082895349","https://openalex.org/W4213079790","https://openalex.org/W2248239756","https://openalex.org/W4323565446"],"abstract_inverted_index":{"Medical":[0],"imaging":[1,6],"modalities,":[2],"like":[3],"magnetic":[4],"resonance":[5],"(MRI),":[7],"have":[8,35],"enabled":[9],"efficient":[10],"diagnosis":[11],"of":[12,46,81,92,107,111],"various":[13],"conditions,":[14],"including":[15],"cancer,":[16],"lung":[17],"disease,":[18],"and":[19,32,44,104,116],"brain":[20],"tumors.":[21],"With":[22],"the":[23,42,66,70,75,79,83,87,90,94,101,105,112,123],"advancements":[24],"in":[25,60],"machine":[26],"learning,":[27],"AI-based":[28],"medical":[29],"image":[30],"segmentation":[31],"classification":[33],"systems":[34,48],"emerged,":[36],"potentially":[37],"replacing":[38],"human":[39],"diagnosis.":[40],"However,":[41],"security":[43],"robustness":[45],"these":[47],"are":[49,53],"crucial,":[50],"as":[51,58],"they":[52],"vulnerable":[54],"to":[55,99,120],"adversarial":[56],"attacks,":[57],"demonstrated":[59],"previous":[61],"studies.":[62],"In":[63],"this":[64],"respect,":[65],"current":[67],"work":[68],"explores":[69],"one-pixel":[71,84,102],"attack\u2019s":[72],"impact":[73],"on":[74],"reliable":[76],"VGG16":[77],"model,":[78],"effectiveness":[80],"combining":[82],"attack":[85],"with":[86],"FGSM":[88],"attack,":[89,103],"potential":[91],"using":[93,108],"squeezing":[95,113],"color":[96,114],"bits":[97,115],"detector":[98],"counter":[100],"possibility":[106],"a":[109],"combination":[110],"PCA":[117],"whitening":[118],"detectors":[119],"protect":[121],"against":[122],"aforementioned":[124],"attacks.":[125]},"counts_by_year":[],"updated_date":"2025-12-24T23:09:58.560324","created_date":"2025-10-10T00:00:00"}