Ameya Velingker

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 5 papers; trusts 61 researchers and is trusted by 23 researchers here, as inferred from the citation graph.

Subfields

Whom Ameya Velingker trusts overall

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

  1. Cynthia Dwork
  2. Ú. Erlingsson
  3. Badih Ghazi
  4. Borja Balle
  5. Adam D. Smith
  6. Kobbi Nissim
  7. Frank McSherry
  8. Ilya Mironov
  9. Albert Cheu
  10. Graham Cormode

Who trusts Ameya Velingker overall

  1. Badih Ghazi
  2. Victor Balcer
  3. Borja Balle
  4. Albert Cheu
  5. Ravi Kumar
  6. Pasin Manurangsi
  7. Peter Kairouz
  8. James Bell
  9. Rasmus Pagh
  10. Alisa Chang

Papers from Ameya Velingker's perspective

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

  1. Differential Privacy
  2. Our Data, Ourselves: Privacy Via Distributed Noise Generation
  3. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
  4. Deep Learning with Differential Privacy
  5. Calibrating Noise to Sensitivity in Private Data Analysis
  6. What Can We Learn Privately?
  7. Heavy Hitters
  8. Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
  9. The Privacy Blanket of the Shuffle Model
  10. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)

Their papers