Ke Xu
Artificial Intelligence · with Shen · 2020–2021
A researcher in the Science corpus: 3 papers; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 26 citations into it
- Privacy & Security — 7 citations into it
Whom Ke Xu trusts
Their strongest outbound trust, strongest first, inferred from their citations.
- Payman Mohassel (in Artificial Intelligence)
Papers from Ke Xu's perspective
Ordered by how strongly the researchers Ke Xu trusts endorse each paper. Same corpus, a different order for every researcher.
- How to share a secret
- Privacy-preserving deep learning
- Privacy-Preserving Ridge Regression on Hundreds of Millions of Records
- Deep Learning with Differential Privacy
- Website Fingerprinting at Internet Scale (Network and Distributed System Security Symposium)
- Practical techniques for searches on encrypted data (Proceeding 2000 IEEE Symposium on Security and Privacy. S&P 2000)
- Identity-Based Encryption from the Weil Pairing
- SecureML: A System for Scalable Privacy-Preserving Machine Learning
- Sharing Decryption in the Context of Voting or Lotteries (Financial Cryptography)
- Introduction to Modern Cryptography
Their papers
- Accurate Decentralized Application Identification via Encrypted Traffic Analysis Using Graph Neural Networks (2021) — 325 citations
- Secure SVM Training Over Vertically-Partitioned Datasets Using Consortium Blockchain for Vehicular Social Networks (2020) — 71 citations
- Blockchain-Assisted Secure Device Authentication for Cross-Domain Industrial IoT (2020) — 327 citations