Using Adversarial Noises to Protect Privacy in Deep Learning Era.
Bo LiuMing DingTianqing ZhuYong XiangWanlei ZhouPublished in: GLOBECOM (2018)
Keyphrases
- deep learning
- privacy enhancing
- privacy protection
- protect sensitive
- user privacy
- privacy policies
- unsupervised learning
- personal information
- privacy preserving
- machine learning
- mental models
- private information
- unsupervised feature learning
- sensitive information
- restricted boltzmann machine
- deep architectures
- weakly supervised
- model selection
- multiscale