Tim Grube

Artificial Intelligence · 2020

A researcher in the Science corpus: 1 paper; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Safety, Robustness & Interpretability — 8 citations into it

Whom Tim Grube trusts overall

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

1. Reza Shokri
2. H. Brendan McMahan

Papers from Tim Grube's perspective

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

1. Gradient-based learning applied to document recognition
2. Membership Inference Attacks Against Machine Learning Models
3. ImageNet classification with deep convolutional neural networks
4. Privacy-preserving deep learning
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Communication-Efficient Learning of Deep Networks from Decentralized Data
7. Practical Secure Aggregation for Privacy-Preserving Machine Learning
8. Learning Multiple Layers of Features from Tiny Images
9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
10. Exploiting Unintended Feature Leakage in Collaborative Learning

Their papers

• Enhancing Privacy via Hierarchical Federated Learning (2020) — 57 citations