Maxim Zhilyaev

Artificial Intelligence · 2018–2021

A researcher in the Science corpus: 3 papers; trusts 21 researchers and is trusted by 15 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 39 citations into it
• Privacy & Security — 34 citations into it; #250 of 709 by trust here, #270 by citations
• Electrical and Electronic Engineering — 5 citations into it

Whom Maxim Zhilyaev trusts overall

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

1. Albert Cheu
2. David Chaum
3. Cynthia Dwork
4. Mark Bun
5. Kobbi Nissim
6. Vitaly Feldman
7. Victor Balcer
8. Adam D. Smith
9. Badih Ghazi
10. Borja Balle

Who trusts Maxim Zhilyaev overall

1. Badih Ghazi
2. Borja Balle
3. James Bell
4. Albert Cheu
5. Ravi Kumar

Papers from Maxim Zhilyaev's perspective

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

1. Calibrating Noise to Sensitivity in Private Data Analysis
2. What Can We Learn Privately?
3. RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
4. Our Data, Ourselves: Privacy Via Distributed Noise Generation
5. The Privacy Blanket of the Shuffle Model
6. Local Privacy and Statistical Minimax Rates
7. The Algorithmic Foundations of Differential Privacy
8. Efficient noise-tolerant learning from statistical queries
9. Distributed Differential Privacy via Shuffling
10. The Price of Selection in Differential Privacy

Their papers

• Differentially Private Histograms in the Shuffle Model from Fake Users (2021) — 42 citations
• Distributed Differential Privacy via Shuffling (2018) — 433 citations
• Distributed Differential Privacy via Mixnets (2018) — 21 citations