Xizhao Luo
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 18 citations into it
- Privacy & Security — 11 citations into it
Whom Xizhao Luo trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Xizhao Luo's perspective
Ordered by how strongly the researchers Xizhao Luo trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Deep Learning with Differential Privacy
- Privacy-preserving deep learning
- Membership Inference Attacks Against Machine Learning Models
- Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
- On lattices, learning with errors, random linear codes, and cryptography
- On Ideal Lattices and Learning with Errors over Rings
- (Leveled) Fully Homomorphic Encryption without Bootstrapping
- The Algorithmic Foundations of Differential Privacy
- Practical Secure Aggregation for Privacy-Preserving Machine Learning
Their papers
- Efficient and Privacy-Enhanced Federated Learning for Industrial Artificial Intelligence (2020) — 418 citations