Nina Mishra
Artificial Intelligence · 2000–2012
A researcher in the Science corpus: 6 papers; trusts 19 researchers and is trusted by 77 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 49 citations into it; #2,869 of 35,345 by trust here, #4,860 by citations
- Privacy & Security — 24 citations into it; #160 of 709 by trust here, #420 by citations
- Computational Theory and Mathematics — 17 citations into it
- Computer Networks and Communications — 13 citations into it; #9,431 of 9,886 by trust here, #4,405 by citations
- Information Systems — 9 citations into it
- Management Science and Operations Research — 8 citations into it
- Signal Processing — 8 citations into it; #1,193 of 7,572 by trust here, #1,082 by citations
- Sociology and Political Science — 7 citations into it; #2,777 of 22,756 by trust here, #6,533 by citations
Whom Nina Mishra trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Cynthia Dwork
- Oded Goldreich
- Frank McSherry
- Kobbi Nissim
- Avrim Blum
- Irit Dinur
- Kamal Kumar Jain
- Alexandre V. Evfimievski
- Sudipto Guha
- Latanya Sweeney
Who trusts Nina Mishra overall
- Tianhao Wang
- Kamalika Chaudhuri
- Adam D. Smith
- Shiva Prasad Kasiviswanathan
- Raef Bassily
- Vitaly Feldman
- Ninghui Li
- Charu C. Aggarwal
- Moses Charikar
- Badih Ghazi
Papers from Nina Mishra's perspective
Ordered by how strongly the researchers Nina Mishra trusts endorse each paper. Same corpus, a different order for every researcher.
- Differentially private recommender systems: building privacy into the net
- Calibrating Noise to Sensitivity in Private Data Analysis
- Privacy-Preserving Datamining on Vertically Partitioned Databases
- A firm foundation for private data analysis
- Practical privacy: the SuLQ framework
- A learning theory approach to non-interactive database privacy
- Privacy-preserving logistic regression
- Randomized response: a survey technique for eliminating evasive answer bias.
- Privacy via pseudorandom sketches
- Primal-dual approximation algorithms for metric facility location and k-median problems
Their papers
- Privacy via pseudorandom sketches (2006) — 88 citations
- When Random Sampling Preserves Privacy (2006) — 116 citations
- Privacy via the Johnson-Lindenstrauss Transform (2012) — 154 citations
- Clustering Data Streams: Theory and Practice (2003) — 943 citations
- Streaming-data algorithms for high-quality clustering (2002) — 694 citations
- Clustering data streams (2000) — 903 citations