Julien Tinnés

Artificial Intelligence · 2017

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it; #30,296 of 35,345 by trust here, #12,974 by citations
• Privacy & Security — 48 citations into it; #366 of 709 by trust here, #243 by citations
• Information Systems — 32 citations into it
• Computer Science Applications — 8 citations into it
• Hardware and Architecture — 6 citations into it

Whom Julien Tinnés trusts overall

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

1. Cynthia Dwork
2. Frank McSherry
3. Frank Thomson Leighton

Who trusts Julien Tinnés overall

1. Badih Ghazi

Papers from Julien Tinnés's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. Deep Learning with Differential Privacy
3. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
4. The Algorithmic Foundations of Differential Privacy
5. Robust De-anonymization of Large Sparse Datasets
6. Airavat: Security and Privacy for MapReduce
7. Randomized response: a survey technique for eliminating evasive answer bias.
8. Privacy integrated queries: an extensible platform for privacy-preserving data analysis
9. Differential Privacy: A Survey of Results
10. Controlled-Channel Attacks: Deterministic Side Channels for Untrusted Operating Systems

Their papers

• Prochlo: Strong Privacy for Analytics in the Crowd (2017) — 293 citations
• PROCHLO: Strong Privacy for Analytics in the Crowd (2017)