Mengmeng Yang
Artificial Intelligence · 2020
A researcher in the Science corpus: 1 paper; trusts 1 researcher and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 29 citations into it
Whom Mengmeng Yang trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Mengmeng Yang's perspective
Ordered by how strongly the researchers Mengmeng Yang trusts endorse each paper. Same corpus, a different order for every researcher.
- Calibrating Noise to Sensitivity in Private Data Analysis
- Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
- The Algorithmic Foundations of Differential Privacy
- Learning Differentially Private Recurrent Language Models
- Revisiting Distributed Synchronous SGD
- Communication-Efficient Learning of Deep Networks from Decentralized Data
- Extremal Mechanisms for Local Differential Privacy
- Minimax Optimal Procedures for Locally Private Estimation
- Deep Models Under the GAN: Information Leakage from Collaborative Deep Learning (Conference on Computer and Communications Security)
- Local Privacy and Minimax Bounds: Sharp Rates for Probability Estimation
Their papers
- Local Differential Privacy-Based Federated Learning for Internet of Things (2020) — 414 citations