A Privacy-Preserving Protocol Level Approach to Prevent Machine Learning Modelling Attacks on PUFs in the Presence of Semi-Honest Verifiers.
Owen MillwoodHongming FeiProsanta GopeOguz NarliMeltem Kurt PehlivanogluElif Bilge KavunBiplab SikdarPublished in: HOST (2023)
Keyphrases
- privacy preserving
- semi honest
- machine learning
- privacy preserving data mining
- vertically partitioned data
- multi party
- data publishing
- scalar product
- secure multi party
- secure multi party computation
- privacy preservation
- homomorphic encryption
- secure multiparty computation
- privacy concerns
- sensitive information
- sensitive data
- horizontally partitioned data
- data privacy
- private information
- decision trees
- privacy issues
- privacy guarantees
- data analysis
- feature selection