Advanced search
1 file | 312.86 KB

Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation

Author
Organization

Downloads

  • 2016-736.pdf
    • full text
    • |
    • open access
    • |
    • PDF
    • |
    • 312.86 KB

Citation

Please use this url to cite or link to this publication:

Chicago
De Cock, Martine, Rafael Dowsley, Caleb Horst, Rajendra Katti, Anderson Nascimento, Wing-Sea Poon, and Stacey Truex. 2019. “Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models Based on Pre-Computation.” IEEE Transactions on Dependable and Secure Computing 16 (2): 217–230.
APA
De Cock, M., Dowsley, R., Horst, C., Katti, R., Nascimento, A., Poon, W.-S., & Truex, S. (2019). Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation. IEEE Transactions on Dependable and Secure Computing, 16(2), 217–230.
Vancouver
1.
De Cock M, Dowsley R, Horst C, Katti R, Nascimento A, Poon W-S, et al. Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation. IEEE Transactions on Dependable and Secure Computing. 2019;16(2):217–30.
MLA
De Cock, Martine et al. “Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models Based on Pre-Computation.” IEEE Transactions on Dependable and Secure Computing 16.2 (2019): 217–230. Print.
@article{8607729,
  author       = {De Cock, Martine and Dowsley, Rafael and Horst, Caleb and Katti, Rajendra and Nascimento, Anderson and Poon, Wing-Sea and Truex, Stacey},
  journal      = {IEEE Transactions on Dependable and Secure Computing},
  language     = {eng},
  number       = {2},
  pages        = {217--230},
  title        = {Efficient and Private Scoring of Decision Trees, Support Vector Machines and Logistic Regression Models based on Pre-Computation},
  url          = {http://dx.doi.org/10.1109/TDSC.2017.2679189},
  volume       = {16},
  year         = {2019},
}

Altmetric
View in Altmetric