Kaushik Sinha

Artificial Intelligence · 2012–2015

A researcher in the Science corpus: 4 papers; trusts 45 researchers and is trusted by 19 researchers here, as inferred from the citation graph.

Subfields

Whom Kaushik Sinha trusts overall

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

  1. Cynthia Dwork
  2. Frank McSherry
  3. Adam D. Smith
  4. Kobbi Nissim
  5. Shiva Prasad Kasiviswanathan
  6. Moritz Hardt
  7. Avrim Blum
  8. Kamalika Chaudhuri
  9. Nir Ailon
  10. David R Karger

Who trusts Kaushik Sinha overall

  1. Peter Kairouz
  2. Sewoong Oh
  3. Rajarshi Das
  4. Cynthia Dwork
  5. Kamalika Chaudhuri
  6. Wen Sun
  7. Moritz Hardt
  8. Reza Shokri
  9. Aaron Roth
  10. Anand D. Sarwate

Papers from Kaushik Sinha's perspective

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

  1. Calibrating Noise to Sensitivity in Private Data Analysis
  2. Differentially private recommender systems: building privacy into the net
  3. Towards Sharp Inapproximability For Any 2-CSP
  4. Privacy, accuracy, and consistency too: a holistic solution to contingency table release
  5. Practical privacy: the SuLQ framework
  6. ImageNet classification with deep convolutional neural networks
  7. Differentially Private Empirical Risk Minimization
  8. Smooth sensitivity and sampling in private data analysis
  9. A learning theory approach to non-interactive database privacy
  10. k-Anonymity: A Model for Protecting Privacy

Their papers