Shengshan Hu

Artificial Intelligence · 2018

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 — 13 citations into it

Whom Shengshan Hu trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Cynthia Dwork

Papers from Shengshan Hu's perspective

Ordered by how strongly the researchers Shengshan Hu trusts endorse each paper. Same corpus, a different order for every researcher.

1. Induction of decision trees
2. Calibrating Noise to Sensitivity in Private Data Analysis
3. Practical privacy: the SuLQ framework
4. Pseudorandom Bits for Polynomials
5. k-Anonymity: A Model for Protecting Privacy
6. Privacy-preserving deep learning
7. On Private Scalar Product Computation for Privacy-Preserving Data Mining
8. Data mining with differential privacy
9. Building decision tree classifier on private data
10. Faster Secure Two-Party Computation Using Garbled Circuits

Their papers

• InPrivate Digging: Enabling Tree-based Distributed Data Mining with Differential Privacy (2018) — 93 citations