Towards Private Deep Learning-Based Side-Channel Analysis Using Homomorphic Encryption - Opportunities and Limitations.
Fabian SchmidShibam MukherjeeStjepan PicekMarc StöttingerFabrizio De SantisChristian RechbergerPublished in: COSADE (2024)
Keyphrases
- deep learning
- homomorphic encryption
- privacy preserving
- data sharing
- unsupervised learning
- encryption scheme
- unsupervised feature learning
- public key
- machine learning
- weakly supervised
- sensitive information
- sensitive data
- privacy protection
- data access
- peer to peer
- third party
- information sharing
- encrypted data
- similarity measure
- database systems