Haicheng Sun
Artificial Intelligence · 2018–2019
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 1 researcher here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 44 citations into it; #34,593 of 35,345 by trust here, #11,192 by citations
- Privacy & Security — 29 citations into it
- Sociology and Political Science — 9 citations into it; #22,143 of 22,756 by trust here, #4,532 by citations
- Safety, Robustness & Interpretability — 6 citations into it
- Information Systems — 5 citations into it
Whom Haicheng Sun trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Haicheng Sun overall
Papers from Haicheng Sun's perspective
Ordered by how strongly the researchers Haicheng Sun trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Long Short-Term Memory
- Differential Privacy
- Randomized response: a survey technique for eliminating evasive answer bias.
- Deep Learning with Differential Privacy
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- The Algorithmic Foundations of Differential Privacy
- Local Privacy and Statistical Minimax Rates
- Differential Privacy: A Survey of Results
- What Can We Learn Privately?
Their papers
- APPLIED FEDERATED LEARNING: IMPROVING GOOGLE KEYBOARD QUERY SUGGESTIONS (2018) — 715 citations
- Federated Heavy Hitters Discovery with Differential Privacy (2019) — 116 citations