Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future
Directions

Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions

8 September 2022

Chulin Xie

Ding Zhao

Papers citing "Privacy of Autonomous Vehicles: Risks, Protection Methods, and Future Directions"

7 / 7 papers shown

Title
Differentially Private Fine-tuning of Language Models Da Yu Saurabh Naik A. Backurs Sivakanth Gopi Huseyin A. Inan ... Y. Lee Andre Manoel Lukas Wutschitz Sergey Yekhanin Huishuai Zhang 134 346 0 13 Oct 2021
A privacy-preserving approach to streaming eye-tracking data Brendan David-John D. Hosfelt Kevin R. B. Butler Eakta Jain 29 70 0 02 Feb 2021
Dopamine: Differentially Private Federated Learning on Medical Data Mohammad Malekzadeh Burak Hasircioglu N. Mital K. Katarya M. E. Ozfatura Deniz Gündüz OOD FedML 26 51 0 27 Jan 2021
Cryptanalytic Extraction of Neural Network Models Nicholas Carlini Matthew Jagielski Ilya Mironov FedML MLAU MIACV AAML 70 134 0 10 Mar 2020
Survey of Deep Reinforcement Learning for Motion Planning of Autonomous Vehicles S. Aradi 210 435 0 30 Jan 2020
Image-to-Image Translation with Conditional Adversarial Networks Phillip Isola Jun-Yan Zhu Tinghui Zhou Alexei A. Efros SSeg 212 19,450 0 21 Nov 2016
Optimal Geo-Indistinguishable Mechanisms for Location Privacy N. E. Bordenabe K. Chatzikokolakis C. Palamidessi 42 275 0 20 Feb 2014