Ivan Pryvalov
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 Ivan Pryvalov trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ivan Pryvalov's perspective
Ordered by how strongly the researchers Ivan Pryvalov trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Differential Privacy
- Our Data, Ourselves: Privacy Via Distributed Noise Generation
- Towards Sharp Inapproximability For Any 2-CSP
- Computational Differential Privacy
- Universally utility-maximizing privacy mechanisms
- Security and Composition of Multiparty Cryptographic Protocols (Journal of Cryptology)
- No free lunch in data privacy
- Privacy-Preserving Aggregation of Time-Series Data
- Towards Statistical Queries over Distributed Private User Data
Their papers
- Differentially private data aggregation with optimal utility (2014) — 74 citations