Xiangyun Tang

Artificial Intelligence · 2019–2020

A researcher in the Science corpus: 2 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it
• Privacy & Security — 9 citations into it
• Computer Networks and Communications — 8 citations into it

Whom Xiangyun Tang trusts overall

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

1. Ran Canetti
2. Thore Graepel
3. Raphael Bost
4. Martine De Cock

Papers from Xiangyun Tang's perspective

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

1. Security and Composition of Multiparty Cryptographic Protocols (Journal of Cryptology)
2. Deep Learning with Differential Privacy
3. ML Confidential: Machine Learning on Encrypted Data
4. Privacy-preserving deep learning
5. Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
6. How to share a secret
7. Support-Vector Networks
8. SecureML: A System for Scalable Privacy-Preserving Machine Learning
9. Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
10. Machine Learning Classification over Encrypted Data

Their papers

• Secure SVM Training Over Vertically-Partitioned Datasets Using Consortium Blockchain for Vehicular Social Networks (2020) — 71 citations
• Privacy-Preserving Support Vector Machine Training Over Blockchain-Based Encrypted IoT Data in Smart Cities (2019) — 359 citations