Kallista A. Bonawitz
Artificial Intelligence · 2016–2020
A researcher in the Science corpus: 2 papers; trusts 13 researchers and is trusted by 19 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 37 citations into it; #8,734 of 35,345 by trust here, #12,387 by citations
- Privacy & Security — 28 citations into it; #219 of 709 by trust here, #270 by citations
- Computational Theory and Mathematics — 8 citations into it
- Statistics and Probability — 7 citations into it; #3,066 of 12,932 by trust here, #2,629 by citations
- Sociology and Political Science — 6 citations into it
Whom Kallista A. Bonawitz trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Yehuda Lindell
- Oded Goldreich
- Borja Balle
- Peter Kairouz
- Adam D. Smith
- Jeremiah Blocki
- Kobbi Nissim
- Michael T. Goodrich
- Badih Ghazi
Who trusts Kallista A. Bonawitz overall
- Jayadev Acharya
- Min Ye
- Peter Kairouz
- Wei-Ning Chen
- Alexander Barg
- Leighton Pate Barnes
- Jinyuan Jia
- Bolin Ding
- Ziteng Sun
- Takao Murakami
Papers from Kallista A. Bonawitz's perspective
Ordered by how strongly the researchers Kallista A. Bonawitz trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differential Privacy
- Randomized response: a survey technique for eliminating evasive answer bias.
- Differential Privacy: A Survey of Results
- Extremal Mechanisms for Local Differential Privacy
- Fully homomorphic encryption using ideal lattices
- Practical Secure Aggregation for Privacy-Preserving Machine Learning
- The Privacy Blanket of the Shuffle Model
- Differential privacy and robust statistics
- Gradient-based learning applied to document recognition
Their papers
- Discrete Distribution Estimation under Local Privacy (2016) — 377 citations
- Secure Single-Server Aggregation with (Poly)Logarithmic Overhead (2020) — 580 citations