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ORCIDJoseph Geumlek
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2020 – today
- 2020
[b1]Joseph Geumlek:
Sampling from Distributions under Differential Privacy Notions. University of California, San Diego, USA, 2020
2010 – 2019
- 2019
- [c4]Joseph Geumlek, Kamalika Chaudhuri:
Profile-based Privacy for Locally Private Computations. ISIT 2019: 537-541 - [c3]Borja Balle, Gilles Barthe, Marco Gaboardi
, Joseph Geumlek:
Privacy Amplification by Mixing and Diffusion Mechanisms. NeurIPS 2019: 13277-13287 - [i4]Joseph Geumlek, Kamalika Chaudhuri:
Profile-Based Privacy for Locally Private Computations. CoRR abs/1903.09084 (2019) - [i3]Borja Balle, Gilles Barthe, Marco Gaboardi, Joseph Geumlek:
Privacy Amplification by Mixing and Diffusion Mechanisms. CoRR abs/1905.12264 (2019) - 2017
- [c2]Joseph Geumlek, Shuang Song, Kamalika Chaudhuri:
Renyi Differential Privacy Mechanisms for Posterior Sampling. NIPS 2017: 5289-5298 - [i2]Joseph Geumlek, Shuang Song, Kamalika Chaudhuri:
Rényi Differential Privacy Mechanisms for Posterior Sampling. CoRR abs/1710.00892 (2017) - 2016
- [c1]James R. Foulds, Joseph Geumlek, Max Welling, Kamalika Chaudhuri:
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. UAI 2016 - [i1]James R. Foulds, Joseph Geumlek, Max Welling, Kamalika Chaudhuri:
On the Theory and Practice of Privacy-Preserving Bayesian Data Analysis. CoRR abs/1603.07294 (2016)
Coauthor Index
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