User-Defined Privacy Preserving Data Sharing for Connected Autonomous Vehicles Utilizing Edge Computing

Author:

Bai Tianyu1ORCID,Yang Qing1ORCID,Fu Song1ORCID

Affiliation:

1. University of North Texas, Denton, Texas, USA

Funder

NSF (National Science Foundation)

Publisher

ACM

Reference43 articles.

1. Yoshinori Aono Takuya Hayashi Lihua Wang Shiho Moriai et al. 2017. Privacy-preserving deep learning via additively homomorphic encryption. IEEE transactions on information forensics and security 13 5 (2017) 1333--1345.

2. Karim Armanious, Youssef Mecky, Sergios Gatidis, and Bin Yang. 2019. Adversarial inpainting of medical image modalities. In ICASSP 2019-2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP). 3267--3271.

3. Vijay Badrinarayanan, Alex Kendall, and Roberto Cipolla. 2017. Segnet: A deep convolutional encoder-decoder architecture for image segmentation. IEEE transactions on pattern analysis and machine intelligence 39, 12 (2017), 2481--2495.

4. Privacy-Preserving Object Detection with Secure Convolutional Neural Networks for Vehicular Edge Computing

5. Tianyu Bai, Danyang Shao, Ying He, Song Fu, and Qing Yang. 2023. P3: A Privacy-Preserving Perception Framework for Building Vehicle-Edge Perception Networks Protecting Data Privacy. In 2023 32nd International Conference on Computer Communications and Networks (ICCCN). IEEE, 1--10.

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