Francesco Aldà

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 28 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 30 citations into it
• Privacy & Security — 25 citations into it
• Computational Theory and Mathematics — 8 citations into it
• Statistics and Probability — 7 citations into it

Whom Francesco Aldà trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Oded Regev
4. Chris Peikert
5. Kobbi Nissim
6. Vibhor Rastogi
7. Adam D. Smith
8. Marc Joye
9. Arpita Ghosh
10. Elaine Shi

Papers from Francesco Aldà's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Differentially private recommender systems: building privacy into the net
3. Towards Sharp Inapproximability For Any 2-CSP
4. Differentially Private Empirical Risk Minimization
5. Pseudorandom Bits for Polynomials
6. Smooth sensitivity and sampling in private data analysis
7. A learning theory approach to non-interactive database privacy
8. Differential Privacy
9. Our Data, Ourselves: Privacy Via Distributed Noise Generation
10. Revealing information while preserving privacy

Their papers

• Pain-Free Random Differential Privacy with Sensitivity Sampling (2017) — 45 citations
• Computational Differential Privacy from Lattice-Based Cryptography (2017) — 22 citations