Vladimir Ivanov

Artificial Intelligence · 2016–2019

A researcher in the Science corpus: 3 papers; trusts 4 researchers and is trusted by 8 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 62 citations into it; #16,593 of 35,345 by trust here, #1,972 by citations
• Privacy & Security — 31 citations into it; #457 of 709 by trust here, #51 by citations

Whom Vladimir Ivanov trusts overall

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

1. Johannes Blömer
2. David Chaum
3. H. Brendan McMahan
4. Mihir Bellare
5. Henry Corrigan-Gibbs
6. Reza Shokri
7. Philippe Golle
8. Vibhor Rastogi
9. Cynthia Dwork
10. Gergely Ács

Who trusts Vladimir Ivanov overall

1. Lingjuan Lyu
2. Peter Kairouz
3. Luca Melis
4. Qinbin Li
5. H. Brendan McMahan
6. Jakub Konecný
7. Chaoyang He
8. Jinhyun So
9. Nguyen Binh Truong
10. Florian Tramèr

Papers from Vladimir Ivanov's perspective

Ordered by how strongly the researchers Vladimir Ivanov 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. Large Scale Distributed Deep Networks
4. Deep Learning
5. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
6. Differential Privacy
7. Learning Multiple Layers of Features from Tiny Images
8. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Deep Learning with Differential Privacy

Their papers

• Practical Secure Aggregation for Privacy-Preserving Machine Learning (2017) — 4,229 citations
• Towards Federated Learning at Scale: System Design (2019) — 3,255 citations
• Practical Secure Aggregation for Federated Learning on User-Held Data (2016) — 662 citations