Shusen Yang
Artificial Intelligence · 2013–2016
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 25 citations into it
- Privacy & Security — 15 citations into it
Whom Shusen Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Who trusts Shusen Yang overall
Papers from Shusen Yang's perspective
Ordered by how strongly the researchers Shusen Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differential Privacy
- The Algorithmic Foundations of Differential Privacy
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- Privacy integrated queries: an extensible platform for privacy-preserving data analysis
- Building a RAPPOR with the Unknown: Privacy-Preserving Learning of Associations and Data Dictionaries
- Heavy Hitters
- Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy
- Collecting Telemetry Data Privately
- Local, Private, Efficient Protocols for Succinct Histograms
Their papers
- $\textsf{LoPub}$ : High-Dimensional Crowdsourced Data Publication With Local Differential Privacy (2016) — 112 citations
- Detection of false data injection attacks in smart-grid systems (2015) — 90 citations
- A survey on the ietf protocol suite for the internet of things: standards, challenges, and opportunities (2013) — 790 citations