TY - GEN
T1 - Privacy enhanced decision tree inference
AU - Sarpatwar, Kanthi
AU - Ratha, Nalini
AU - Nandakumar, Karthik
AU - Shanmugam, Karthikeyan
AU - Rayfield, James T.
AU - Pankanti, Sharath
AU - Vaculin, Roman
N1 - Publisher Copyright:
© 2020 IEEE.
PY - 2020/6
Y1 - 2020/6
N2 - In many areas in machine learning, decision trees play a crucial role in classification and regression. When a decision tree based classifier is hosted as a service in a critical application with the need for privacy protection of the service as well as the user data, fully homomorphic encrypted can be employed. However, a decision node in a decision tree can't be directly implemented in FHE. In this paper, we describe an end-to-end approach to support privacyenhanced decision tree classification using IBM supported open-source library HELib. Using several options for building a decision node and employing oblivious computations coupled with an argmax function in FHE we show that a highly secure and trusted decision tree service can be enabled.
AB - In many areas in machine learning, decision trees play a crucial role in classification and regression. When a decision tree based classifier is hosted as a service in a critical application with the need for privacy protection of the service as well as the user data, fully homomorphic encrypted can be employed. However, a decision node in a decision tree can't be directly implemented in FHE. In this paper, we describe an end-to-end approach to support privacyenhanced decision tree classification using IBM supported open-source library HELib. Using several options for building a decision node and employing oblivious computations coupled with an argmax function in FHE we show that a highly secure and trusted decision tree service can be enabled.
UR - https://www.scopus.com/pages/publications/85090116686
U2 - 10.1109/CVPRW50498.2020.00025
DO - 10.1109/CVPRW50498.2020.00025
M3 - Conference contribution
AN - SCOPUS:85090116686
T3 - IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops
SP - 154
EP - 159
BT - Proceedings - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
PB - IEEE Computer Society
T2 - 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2020
Y2 - 14 June 2020 through 19 June 2020
ER -