Entropy-minimizing mechanism for differential privacy of discrete-time linear feedback systems
By Yu Wang, Zhenqi Huang, Sayan Mitra, Geir E. Dullerud. 2014
56 citations recorded by the source corpus.
Subfields: Artificial Intelligence, Electrical and Electronic Engineering
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Artificial Intelligence
- Peter Kairouz
- Pramod Viswanath
- Sewoong Oh
- Jorge Cortés
- Pavankumar Tallapragada
- Erfan Nozari
- Quan Geng
- Borja Balle
In Electrical and Electronic Engineering
- Sewoong Oh
- Pramod Viswanath
- Jorge Cortés
- Peter Kairouz
- Nicolas Loizou
- Syed Ali Jafar
- Rui Zhang
- Nihar Jindal
Citations in the corpus
- Extremal Mechanisms for Local Differential Privacy (2014, background): “Then in order to achieve optimal error rate, one would want to maximize the KL-divergence of the induced marginals, over all ε-locally differentially private mechanisms Q.”
- Differentially private average consensus: Obstructions, trade-offs, and optimal algorithm design (2015, methodology): “O C ] 2 8 Fe b 20 17 et al., 2012, 2014, Wang et al., 2014], estimation [Ny and Pappas, 2014], and optimization [Han et al., 2014, Huang et al., 2015, Nozari et al., 2017].”