Medical large language models are vulnerable to data-poisoning attacks

Alber, D. A., Yang, Z., Alyakin, A., Yang, E., Rai, S., Valliani, A. A., Zhang, J., Rosenbaum, G. R., Amend-Thomas, A. K., Kurland, D. B., Kremer, C. M., Eremiev, A., Negash, B., Wiggan, D. D., Nakatsuka, M. A., Sangwon, K. L., Neifert, S. N., Khan, H. A., Save, A. V., … Oermann, E. K. (2025). Medical large language models are vulnerable to data-poisoning attacks. Nature Medicine. https://doi.org/10.1038/s41591-024-03445-1
Authors:
Daniel Alexander Alber
Zihao Yang
Anton Alyakin
Eunice Yang
Sumedha Rai
Aly A Valliani
Jeff Zhang
Gabriel R Rosenbaum
Ashley K Amend-Thomas
David B Kurland
Caroline M Kremer
Alexander Eremiev
Bruck Negash
Daniel D Wiggan
Michelle A Nakatsuka
Karl L Sangwon
Sean N Neifert
Hammad A Khan
Akshay Vinod Save
Adhith Palla
Eric A Grin
Monika Hedman
Mustafa Nasir-Moin
Xujin Chris Liu
Lavender Yao Jiang
Michal A Mankowski
Dorry L Segev
Yindalon Aphinyanaphongs
Howard A Riina
John G Golfinos
Daniel A Orringer
Douglas Kondziolka
Eric Karl Oermann
Affiliated Authors:
Eunice Yang
Columbia Affiliation:
elink
Publication Type:
Article
Unique ID:
10.1038/s41591-024-03445-1
PMID:
39779928
DOI:
10.1038/s41591-024-03445-1
Journal:
Nature Medicine
Publication Date:
Data Source:
PubMed
Source Link:
View PubMed Record
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Record Created: