AutoMPC: Efficient Multi-Party Computation for Secure and Privacy-Preserving Cooperative Control of Connected Autonomous Vehicles.
Tao LiLei LinSiyuan GongPublished in: SafeAI@AAAI (2019)
Keyphrases
- multi party
- privacy preserving
- autonomous vehicles
- cooperative
- vertically partitioned data
- privacy preserving data mining
- secure multi party computation
- scalar product
- secure multiparty computation
- horizontally partitioned data
- path planning
- privacy preservation
- sensitive data
- partitioned data
- robot control
- privacy preserving distributed data mining
- privacy concerns
- private information
- data privacy
- homomorphic encryption
- privacy sensitive
- obstacle avoidance
- privacy protection
- fair exchange
- user privacy
- data mining
- description language
- sensitive information
- mobile robot
- multi agent systems
- multi agent