Lihua Wang

Artificial Intelligence · with Aono · 2016–2018

A researcher in the Science corpus: 3 papers; trusts 7 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 22 citations into it; #17,658 of 35,345 by trust here, #8,706 by citations
• Computational Theory and Mathematics — 9 citations into it
• Optimization & Training — 5 citations into it

Whom Lihua Wang trusts overall

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

1. Richard Lindner

Who trusts Lihua Wang overall

1. Qiang Yang
2. Lingjuan Lyu

Papers from Lihua Wang's perspective

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

1. Adaptive Subgradient Methods for Online Learning and Stochastic Optimization
2. Deep Learning with Differential Privacy
3. Better Key Sizes (and Attacks) for LWE-Based Encryption
4. Can homomorphic encryption be practical?
5. Hogwild: A Lock-Free Approach to Parallelizing Stochastic Gradient Descent
6. CryptoNets: Applying Neural Networks to Encrypted Data with High Throughput and Accuracy
7. The Algorithmic Foundations of Differential Privacy
8. SecureML: A System for Scalable Privacy-Preserving Machine Learning
9. A fully homomorphic encryption scheme
10. ML Confidential: Machine Learning on Encrypted Data

Their papers

• Privacy-Preserving Deep Learning via Additively Homomorphic Encryption (2018) — 1,671 citations
• Privacy-Preserving Deep Learning: Revisited and Enhanced (2017) — 206 citations
• Scalable and Secure Logistic Regression via Homomorphic Encryption (2016) — 186 citations