Anindya De
Artificial Intelligence · 2011–2017
A researcher in the Science corpus: 2 papers; trusts 18 researchers and is trusted by 40 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 12 citations into it; #3,685 of 35,345 by trust here, #12,974 by citations
- Computational Theory and Mathematics — 6 citations into it
- Privacy & Security — 6 citations into it; #84 of 709 by trust here, #361 by citations
Whom Anindya De trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Moritz Hardt
- Irit Dinur
- Kunal Talwar
- Elchanan Mossel
- Frank McSherry
- Kobbi Nissim
- Shiva Prasad Kasiviswanathan
- Mark Rudelson
- Avrim Blum
Who trusts Anindya De overall
- Mark Bun
- John C. Duchi
- Paul W. Cuff
- Shiva Prasad Kasiviswanathan
- Michael I. Jordan
- Thomas Steinke
- Quan Geng
- Martin J. Wainwright
- Aleksandar Nikolov
- Ilya Mironov
Papers from Anindya De's perspective
Ordered by how strongly the researchers Anindya De trusts endorse each paper. Same corpus, a different order for every researcher.
- Revealing information while preserving privacy
- Calibrating Noise to Sensitivity in Private Data Analysis
- On the geometry of differential privacy
- Differential Privacy
- Towards Sharp Inapproximability For Any 2-CSP
- Our Data, Ourselves: Privacy Via Distributed Noise Generation
- Differentially private recommender systems: building privacy into the net
- ImageNet classification with deep convolutional neural networks
- The price of privately releasing contingency tables and the spectra of random matrices with correlated rows
- Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
Their papers
- Lower Bounds in Differential Privacy (2011) — 136 citations
- Non interactive simulation of correlated distributions is decidable (2017) — 29 citations