Secure YOLOv3-SPP: Edge-Cooperative Privacy-preserving Object Detection for Connected Autonomous Vehicles.
Yongjie ZhouJinbo XiongRenwan BiYouliang TianPublished in: NaNA (2022)
Keyphrases
- privacy preserving
- autonomous vehicles
- vertically partitioned data
- cooperative
- secure multiparty computation
- scalar product
- horizontally partitioned data
- sensitive data
- multi party
- homomorphic encryption
- obstacle avoidance
- path planning
- structured environments
- privacy preserving data mining
- user privacy
- horizontally partitioned
- privacy preservation
- sensitive information
- private information
- secure multi party computation
- personal data
- mobile robot
- data privacy
- privacy protection
- autonomous agents
- multiagent systems
- privacy sensitive
- privacy issues
- data perturbation
- complex environments
- privacy preserving association rule mining
- partitioned data
- semi honest
- privacy requirements
- multi agent systems
- multi agent
- computer vision
- preserving privacy
- privacy guarantees
- robot control
- dynamic environments
- identity management
- privacy concerns
- long range
- naive bayesian classification
- support vector machine
- real time
- privacy preserving data mining algorithms