Deceptive Reinforcement Learning for Privacy-Preserving Planning.
Zhengshang LiuYue YangTim MillerPeta MastersPublished in: AAMAS (2021)
Keyphrases
- privacy preserving
- reinforcement learning
- privacy preserving data mining
- privacy preservation
- vertically partitioned data
- multi party
- planning problems
- record linkage
- data privacy
- sensitive information
- preserving privacy
- data transformation
- privacy concerns
- horizontally partitioned data
- private information
- privacy protection
- privacy sensitive
- scalar product
- data sets
- user privacy
- privacy guarantees
- data publishing
- private data
- personal data
- privacy preserving association rule mining
- data perturbation
- support vector machine classification
- planning domains
- privacy issues
- naive bayesian classification
- database