Milan Lopuhaä-Zwakenberg

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Milan Lopuhaä-Zwakenberg trusts overall

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

  1. John C. Duchi
  2. Raef Bassily

Papers from Milan Lopuhaä-Zwakenberg's perspective

Ordered by how strongly the researchers Milan Lopuhaä-Zwakenberg trusts endorse each paper. Same corpus, a different order for every researcher.

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
  3. Randomized response: a survey technique for eliminating evasive answer bias.
  4. Local Privacy and Statistical Minimax Rates
  5. Heavy Hitters
  6. Collecting Telemetry Data Privately
  7. Heavy Hitter Estimation over Set-Valued Data with Local Differential Privacy
  8. Optimal Schemes for Discrete Distribution Estimation Under Locally Differential Privacy
  9. Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation
  10. Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity

Their papers