Can Differential Privacy Practically Protect Collaborative Deep Learning Inference for the Internet of Things?
Jihyeon RyuYifeng ZhengYansong GaoSharif AbuadbbaJunyaup KimDongho WonSurya NepalHyoungshick KimCong WangPublished in: CoRR (2021)
Keyphrases
- deep learning
- differential privacy
- differentially private
- unsupervised learning
- privacy preserving
- machine learning
- tabular data
- mental models
- data sharing
- privacy preservation
- bayesian networks
- privacy protection
- weakly supervised
- search logs
- personal information
- learning strategies
- data privacy
- supervised learning
- data points
- pattern recognition
- face recognition