A Game Theoretic Adversarial Synthetic Data Generation Method to Address Privacy Concerns in the Use of Deep Learning Models for IoT Applications.
Abhijit SinghBiplab SikdarPublished in: WF-IoT (2023)
Keyphrases
- synthetic data
- game theoretic
- learning models
- generation method
- privacy concerns
- game theory
- personal information
- decision problems
- privacy preserving
- learning tasks
- trust model
- learning algorithm
- machine learning
- loss function
- nash equilibrium
- data sets
- semi supervised learning
- real image data
- classification models
- machine learning algorithms
- private information
- real world
- distributed data
- information security
- learning problems
- conditional random fields
- support vector
- cloud computing
- semi supervised
- multi agent
- decision trees