The Discrete Gaussian for Differential Privacy
- Clément L. Canonne
- Gautam Kamath
- et al.
- 2020
- NeurIPS 2020
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12 results for Thomas Steinke
New oracle-efficient algorithms for private synthetic data release
- Giuseppe Vietri
- Grace Tian
- et al.
- 2020
- ICML 2020
Private hypothesis selection
- Mark Bun
- Thomas Steinke
- et al.
- 2019
- NeurIPS 2019
Average-case averages: Private algorithms for smooth sensitivity and mean estimation
- Mark Bun
- Thomas Steinke
- 2019
- NeurIPS 2019
The limits of post-selection generalization
- Kobbi Nissim
- Adam Smith
- et al.
- 2018
- NeurIPS 2018
Towards instance-optimal private query release
- Jaroslaw Blasiok
- Mark Bun
- et al.
- 2019
- SODA 2019
Make up your mind: The price of online queries in differential privacy
- Mark Bun
- Thomas Steinke
- et al.
- 2017
- SODA 2017
A hybrid approach to privacy-preserving federated learning
- Stacey Truex
- Thomas Steinke
- et al.
- 2019
- AISec/CCS 2019
Composable and versatile privacy via truncated CDP
- Mark Bun
- Guy N. Rothblum
- et al.
- 2018
- STOC 2018
Tight lower bounds for differentially private selection
- Thomas Steinke
- Jonathan Ullman
- 2017
- FOCS 2017