Gábor Danner

Privacy & Security · 2015

A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Privacy & Security — 6 citations into it

Whom Gábor Danner trusts overall

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

1. Pascal Paillier
2. L. Eon Bottou
3. Cynthia Dwork
4. Chris Clifton
5. Murat Kantarcioglu
6. Arun Rajkumar
7. Radford M. Neal
8. Yann LeCun
9. Jaideep Vaidya

Papers from Gábor Danner's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Gradient-based learning applied to document recognition
3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. ImageNet: A large-scale hierarchical image database
6. Long Short-Term Memory
7. Tools for privacy preserving distributed data mining
8. Large Scale Online Learning
9. Our Data, Ourselves: Privacy Via Distributed Noise Generation
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Fully Distributed Privacy Preserving Mini-batch Gradient Descent Learning (2015) — 41 citations