Raghav Bhaskar
Artificial Intelligence · 2010–2011
A researcher in the Science corpus: 2 papers; trusts 9 researchers and is trusted by 13 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it; #12,007 of 35,345 by trust here, #11,490 by citations
- Privacy & Security — 13 citations into it; #340 of 709 by trust here, #361 by citations
- Information Systems — 8 citations into it; #3,098 of 8,771 by trust here, #2,203 by citations
- Computational Theory and Mathematics — 7 citations into it
- Sociology and Political Science — 7 citations into it
- Statistics and Probability — 5 citations into it
Whom Raghav Bhaskar trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Frank McSherry
- Cynthia Dwork
- Per Austrin
- Avrim Blum
- Shipra Agrawal
- Kobbi Nissim
- Ashwin Machanavajjhala
- Latanya Sweeney
- M. Götz
- Johannes Gehrke
Who trusts Raghav Bhaskar overall
- Aleksandra Korolova
- Luca Bonomi
- Kamalika Chaudhuri
- Daniel Kifer
- Stephen E. Fienberg
- Caroline Uhler
- Aleksandra B. Slavkovic
- Jun Zhang
- Ilya Mironov
- Tianqing Zhu
Papers from Raghav Bhaskar's perspective
Ordered by how strongly the researchers Raghav Bhaskar trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Revealing information while preserving privacy
- Limiting privacy breaches in privacy preserving data mining
- Differential Privacy
- L-diversity: privacy beyond k-anonymity
- Towards Sharp Inapproximability For Any 2-CSP
- Smooth sensitivity and sampling in private data analysis
- A learning theory approach to non-interactive database privacy
- Mining association rules between sets of items in large databases
- ImageNet classification with deep convolutional neural networks
Their papers
- Discovering frequent patterns in sensitive data (2010) — 284 citations
- Noiseless Database Privacy (2011) — 102 citations