Filipp Valovich

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 18 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Filipp Valovich trusts overall

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

  1. Cynthia Dwork
  2. Oded Regev
  3. Frank McSherry
  4. Chris Peikert
  5. Vibhor Rastogi
  6. Marc Joye
  7. Arpita Ghosh
  8. Elaine Shi
  9. T-H. Hubert Chan
  10. Brent Waters

Who trusts Filipp Valovich overall

  1. Peter Kairouz

Papers from Filipp Valovich's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. A learning theory approach to non-interactive database privacy
  3. Differential Privacy
  4. Our Data, Ourselves: Privacy Via Distributed Noise Generation
  5. On lattices, learning with errors, random linear codes, and cryptography
  6. Pseudorandom Bits for Polynomials
  7. Revealing information while preserving privacy
  8. Differentially private aggregation of distributed time-series with transformation and encryption
  9. Universal Hash Proofs and a Paradigm for Adaptive Chosen Ciphertext Secure Public-Key Encryption (International Conference on the Theory and Application of Cryptographic Techniques)
  10. Differentially private recommender systems: building privacy into the net

Their papers