Marianne S. Winslett
Artificial Intelligence · 1988–2020
A researcher in the Science corpus: 8 papers; trusts 36 researchers and is trusted by 27 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 139 citations into it; #8,462 of 35,345 by trust here, #5,834 by citations
- Privacy & Security — 55 citations into it; #442 of 709 by trust here, #328 by citations
- Computer Vision and Pattern Recognition — 33 citations into it
- Sociology and Political Science — 30 citations into it
- Statistics and Probability — 20 citations into it; #7,495 of 12,932 by trust here, #2,629 by citations
- Computational Mechanics — 14 citations into it
- Computational Theory and Mathematics — 14 citations into it
- Management Science and Operations Research — 13 citations into it
Whom Marianne S. Winslett trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank McSherry
- Cynthia Dwork
- Kobbi Nissim
- Vibhor Rastogi
- Kamalika Chaudhuri
- E.J. Candes
- Adam D. Smith
- Xiaokui Xiao
- Avrim Blum
- Arik Friedman
Who trusts Marianne S. Winslett overall
- Jan Chomicki
- Jerzy Marcinkowski
- Jaewoo Lee
- Chao Li
- Bo Wu
- Michael Hay
- Jun Zhang
- Jiji Zhang
- Nhathai Phan
- Moritz Hardt
Papers from Marianne S. Winslett's perspective
Ordered by how strongly the researchers Marianne S. Winslett trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differential Privacy
- Revealing information while preserving privacy
- Differentially private recommender systems: building privacy into the net
- Long Short-Term Memory
- Privacy, accuracy, and consistency too: a holistic solution to contingency table release
- A learning theory approach to non-interactive database privacy
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Smooth sensitivity and sampling in private data analysis
Their papers
- Compressing Large-Scale Transformer-Based Models: A Case Study on BERT (2020) — 234 citations
- Functional Mechanism: Regression Analysis under Differential Privacy (2012) — 457 citations
- Mercury: Metro density prediction with recurrent neural network on streaming CDR data (2016) — 36 citations
- Differentially private histogram publication (2012) — 344 citations
- Differentially private data cubes: optimizing noise sources and consistency (2011) — 163 citations
- Compressive mechanism: utilizing sparse representation in differential privacy (2011) — 85 citations
- Supporting structured credentials and sensitive policies through interoperable strategies for automated trust negotiation (2003) — 327 citations
- Reasoning about Action Using a Possible Models Approach (1988)