Francesca Pampaloni

Artificial Intelligence · 2014

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 — 27 citations into it
• Privacy & Security — 16 citations into it
• Computational Theory and Mathematics — 7 citations into it

Whom Francesca Pampaloni trusts overall

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

1. Cynthia Dwork
2. Ilya Mironov
3. Per Austrin
4. Torben P. Pedersen
5. Fabrice Boudot

Papers from Francesca Pampaloni's perspective

Ordered by how strongly the researchers Francesca Pampaloni 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. Our Data, Ourselves: Privacy Via Distributed Noise Generation
4. Towards Sharp Inapproximability For Any 2-CSP
5. Computational Differential Privacy
6. Universally utility-maximizing privacy mechanisms
7. Security and Composition of Multiparty Cryptographic Protocols (Journal of Cryptology)
8. No free lunch in data privacy
9. Secure Computation with Fixed-Point Numbers
10. Privacy-Preserving Aggregation of Time-Series Data

Their papers

• Differentially private data aggregation with optimal utility (2014) — 74 citations