Subbu Subramaniam
Artificial Intelligence · 2020
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 — 16 citations into it
- Privacy & Security — 11 citations into it
Whom Subbu Subramaniam trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Subbu Subramaniam's perspective
Ordered by how strongly the researchers Subbu Subramaniam trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- Privacy integrated queries: an extensible platform for privacy-preserving data analysis
- Deep Learning with Differential Privacy
- Pseudorandom Bits for Polynomials
- Collecting Telemetry Data Privately
- Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
- The Composition Theorem for Differential Privacy
- Privacy integrated queries
- PSI (Ψ): a Private data Sharing Interface
Their papers
- LinkedIn's Audience Engagements API: A Privacy Preserving Data Analytics System at Scale (2020) — 101 citations