Iftach Haitner

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Iftach Haitner trusts overall

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

  1. Albert Cheu
  2. Badih Ghazi
  3. Victor Balcer
  4. Mark Bun
  5. Jonathan Ullman
  6. Cynthia Dwork
  7. Shiva Prasad Kasiviswanathan
  8. Kobbi Nissim
  9. Adam D. Smith
  10. Yuval Ishai

Papers from Iftach Haitner's perspective

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

  1. Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
  2. What Can We Learn Privately?
  3. The Privacy Blanket of the Shuffle Model
  4. Distributed Differential Privacy via Shuffling
  5. On the Power of Multiple Anonymous Messages
  6. Prochlo: Strong Privacy for Analytics in the Crowd
  7. Cryptography from Anonymity
  8. Separating Local & Shuffled Differential Privacy via Histograms
  9. Scalable and Differentially Private Distributed Aggregation in the Shuffled Model
  10. The limits of pan privacy and shuffle privacy for learning and estimation

Their papers