Hyejin Shin
Artificial Intelligence · with Shin · 2016–2019
A researcher in the Science corpus: 3 papers; trusts 15 researchers and is trusted by 3 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 66 citations into it; #25,002 of 35,345 by trust here, #16,771 by citations
- Privacy & Security — 45 citations into it
- Statistics and Probability — 20 citations into it
- Computer Science Applications — 18 citations into it; #1,579 of 1,855 by trust here, #941 by citations
- Algorithms & Complexity — 13 citations into it
- Management Science and Operations Research — 5 citations into it
- Safety, Robustness & Interpretability — 5 citations into it
Whom Hyejin Shin trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- John C. Duchi
- Cynthia Dwork
- Frank McSherry
- Ú. Erlingsson
- Michael I. Jordan
- Raef Bassily
- Kobbi Nissim
- Martin J. Wainwright
Who trusts Hyejin Shin overall
Papers from Hyejin Shin's perspective
Ordered by how strongly the researchers Hyejin Shin trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Revealing information while preserving privacy
- Randomized response: a survey technique for eliminating evasive answer bias.
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- Et al
- The Algorithmic Foundations of Differential Privacy
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
- ImageNet classification with deep convolutional neural networks
- Pseudorandom Bits for Polynomials
- Support-Vector Networks
Their papers
- Collecting and Analyzing Multidimensional Data with Local Differential Privacy (2019) — 394 citations
- PrivTrie: Effective Frequent Term Discovery under Local Differential Privacy (2018) — 86 citations
- Collecting and Analyzing Data from Smart Device Users with Local Differential Privacy (2016) — 215 citations