Concentrated Differential Privacy
@article{Dwork2016ConcentratedDP, title={Concentrated Differential Privacy}, author={C. Dwork and G. N. Rothblum}, journal={ArXiv}, year={2016}, volume={abs/1603.01887} }
We introduce Concentrated Differential Privacy, a relaxation of Differential Privacy enjoying better accuracy than both pure differential privacy and its popular "(epsilon,delta)" relaxation without compromising on cumulative privacy loss over multiple computations.
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References
SHOWING 1-10 OF 13 REFERENCES
The Composition Theorem for Differential Privacy
- Mathematics, Computer Science
- IEEE Transactions on Information Theory
- 2017
- 231
- PDF
The Complexity of Computing the Optimal Composition of Differential Privacy
- Computer Science, Mathematics
- IACR Cryptol. ePrint Arch.
- 2015
- 44
- PDF
Boosting and Differential Privacy
- Computer Science
- 2010 IEEE 51st Annual Symposium on Foundations of Computer Science
- 2010
- 577
- PDF