MLGuard: Mitigating Poisoning Attacks in Privacy Preserving Distributed Collaborative Learning.
Youssef KhazbakTianxiang TanGuohong CaoPublished in: ICCCN (2020)
Keyphrases
- privacy preserving
- collaborative learning
- horizontally partitioned data
- multi party
- horizontally partitioned
- data publishing
- partitioned data
- distributed data mining
- privacy preserving data mining
- privacy sensitive
- privacy preservation
- privacy preserving classification
- vertically partitioned data
- secure multiparty computation
- data privacy
- sensitive information
- private information
- privacy protection
- preserving privacy
- scalar product
- personal data
- record linkage
- privacy concerns
- distributed environment
- mobile agents
- private data
- data perturbation
- privacy preserving association rule mining
- distributed systems
- privacy guarantees
- differential privacy
- sensitive data
- distributed data
- peer to peer
- learning process
- privacy preserving data mining algorithms