Reynold J. Bailey
Artificial Intelligence · 2019
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 7 citations into it
Whom Reynold J. Bailey trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Reynold J. Bailey's perspective
Ordered by how strongly the researchers Reynold J. Bailey trusts endorse each paper. Same corpus, a different order for every researcher.
- A firm foundation for private data analysis
- Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization
- Differential Privacy: A Survey of Results
- Clustering of Gaze During Dynamic Scene Viewing is Predicted by Motion (Cognitive Computation)
- Differential Privacy and Machine Learning: a Survey and Review
- Differentially Private Empirical Risk Minimization
- Towards Sharp Inapproximability For Any 2-CSP
- Differential Privacy
- Differentially private recommender systems: building privacy into the net
- Practical privacy: the SuLQ framework
Their papers
- Differential privacy for eye-tracking data (2019) — 83 citations