GuardNN: secure accelerator architecture for privacy-preserving deep learning.
Weizhe HuaMuhammad UmarZhiru ZhangG. Edward SuhPublished in: DAC (2022)
Keyphrases
- privacy preserving
- deep learning
- vertically partitioned data
- scalar product
- secure multiparty computation
- horizontally partitioned data
- multi party
- sensitive data
- privacy preserving data mining
- homomorphic encryption
- user privacy
- unsupervised learning
- horizontally partitioned
- privacy preserving association rule mining
- privacy protection
- data privacy
- privacy preservation
- sensitive information
- machine learning
- private information
- mental models
- privacy sensitive
- differential privacy
- preserving privacy
- weakly supervised
- privacy guarantees
- privacy concerns
- semi honest
- pairwise
- feature selection