Salted Inference: Enhancing Privacy while Maintaining Efficiency of Split Inference in Mobile Computing

Author:

Malekzadeh Mohammad1ORCID,Kawsar Fahim1ORCID

Affiliation:

1. Nokia Bell Labs, Cambridge, United Kingdom

Publisher

ACM

Reference26 articles.

1. Amin Banitalebi-Dehkordi, Naveen Vedula, Jian Pei, Fei Xia, Lanjun Wang, and Yong Zhang. 2021. Auto-split: A general framework of collaborative edge-cloud AI. In Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining. 2543--2553.

2. Florian Bourse, Michele Minelli, Matthias Minihold, and Pascal Paillier. 2018. Fast homomorphic evaluation of deep discretized neural networks. In Annual International Cryptology Conference. Springer, 483--512.

3. A systematic study of unsupervised domain adaptation for robust human-activity recognition;Chang Youngjae;Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies,2020

4. A Zero-One Law for Boolean Privacy;Chor Benny;SIAM Journal on Discrete Mathematics,1991

5. Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, Hsiang-Tsung Kung, and Ziyun Li. 2022. Splitnets: Designing neural architectures for efficient distributed computing on head-mounted systems. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 12559--12569.

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