Information-Theoretic Privacy through Chaos Synchronization and Optimal Additive Noise.
Carlos MurguiaIman ShamesFarhad FarokhiDragan NesicPublished in: CoRR (2019)
Keyphrases
- information theoretic
- additive noise
- information theory
- mutual information
- theoretic framework
- noisy images
- spatial domain
- maximum likelihood
- jensen shannon divergence
- random variables
- neural network
- chaotic systems
- entropy measure
- information bottleneck
- information theoretic measures
- relative entropy
- log likelihood
- similarity measure
- computer vision
- kullback leibler divergence
- kl divergence
- distributional clustering
- bregman divergences
- image reconstruction
- multiscale
- three dimensional
- information retrieval
- machine learning