Jianliang Xu
Artificial Intelligence · 2015
A researcher in the Science corpus: 1 paper; trusts 7 researchers and is trusted by 2 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 17 citations into it; #30,590 of 35,345 by trust here, #23,077 by citations
- Privacy & Security — 6 citations into it
Whom Jianliang Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Jianliang Xu overall
Papers from Jianliang Xu's perspective
Ordered by how strongly the researchers Jianliang Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Privacy, accuracy, and consistency too: a holistic solution to contingency table release
- A Multiplicative Weights Mechanism for Privacy-Preserving Data Analysis
- Probabilistic Graphical Models: Principles and Techniques - Adaptive Computation and Machine Learning
- Optimizing linear counting queries under differential privacy
- A Simple and Practical Algorithm for Differentially Private Data Release
- Boosting the accuracy of differentially private histograms through consistency
- Learning in a Large Function Space: Privacy-Preserving Mechanisms for SVM Learning
- Probabilistic Inference and Differential Privacy
- The Concave-Convex Procedure
Their papers
- Differentially Private High-Dimensional Data Publication via Sampling-Based Inference (2015) — 206 citations