Min Xu
Artificial Intelligence · with Ding · 2019
A researcher in the Science corpus: 2 papers; trusts 7 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 58 citations into it
- Privacy & Security — 45 citations into it
Whom Min Xu trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Pascal Paillier
- Ú. Erlingsson
- Cynthia Dwork
- Tianhao Wang
- Henry Corrigan-Gibbs
- Raef Bassily
- Borja Balle
- Amrita Roy Chowdhury
- Kobbi Nissim
- Ilya Mironov
Who trusts Min Xu overall
Papers from Min Xu's perspective
Ordered by how strongly the researchers Min Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- Our Data, Ourselves: Privacy Via Distributed Noise Generation
- Differential Privacy
- RAPPOR: Randomized Aggregatable Privacy-Preserving Ordinal Response
- Randomized response: a survey technique for eliminating evasive answer bias.
- Amplification by Shuffling: From Local to Central Differential Privacy via Anonymity
- The Privacy Blanket of the Shuffle Model
- Heavy Hitters
- PROCHLO: Strong Privacy for Analytics in the Crowd
- Collecting Telemetry Data Privately
- Computational Differential Privacy
Their papers
- Practical and Robust Privacy Amplification with Multi-Party Differential Privacy (2019) — 11 citations
- Improving utility and security of the shuffler-based differential privacy (2019) — 40 citations