Madhav Jha

Artificial Intelligence · 2013

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Privacy & Security — 9 citations into it

Whom Madhav Jha trusts overall

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

1. Cynthia Dwork
2. Adam D. Smith
3. Kobbi Nissim
4. Frank McSherry
5. Oded Goldreich
6. Latanya Sweeney
7. Raghav Bhaskar

Papers from Madhav Jha's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differential Privacy
3. L-diversity: privacy beyond k-anonymity
4. k-Anonymity: A Model for Protecting Privacy
5. Smooth sensitivity and sampling in private data analysis
6. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
7. Differential Privacy: A Survey of Results
8. Composition attacks and auxiliary information in data privacy
9. Noiseless Database Privacy
10. Airavat: Security and Privacy for MapReduce

Their papers

• Testing the Lipschitz Property over Product Distributions with Applications to Data Privacy (2013) — 29 citations