Monica Moniot

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Monica Moniot trusts overall

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

  1. Adam D. Smith
  2. W. Reed
  3. Frank McSherry

Papers from Monica Moniot's perspective

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

  1. Pseudorandom Bits for Polynomials
  2. No free lunch in data privacy
  3. Privacy-preserving statistical estimation with optimal convergence rates
  4. Concentrated Differential Privacy: Simplifications, Extensions, and Lower Bounds
  5. Differentially Private Nonparametric Hypothesis Testing
  6. Locally Private Mean Estimation: Z-test and Tight Confidence Intervals
  7. Coupled-Worlds Privacy: Exploiting Adversarial Uncertainty in Statistical Data Privacy
  8. A Note on Differential Privacy: Defining Resistance to Arbitrary Side Information
  9. Bootstrap Methods: Another Look at the Jackknife
  10. The Normal-Laplace Distribution and Its Relatives

Their papers