Bogdan Kulynych

Artificial Intelligence · 2019

A researcher in the Science corpus: 1 paper; trusts 9 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it
• Safety, Robustness & Interpretability — 11 citations into it
• Privacy & Security — 8 citations into it

Whom Bogdan Kulynych trusts overall

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

1. Cynthia Dwork
2. Reza Shokri
3. Milad Nasr
4. Tianqi Chen
5. Payman Mohassel
6. Moritz Hardt
7. Alexandre Sablayrolles
8. Miran Kim
9. Xi Wu
10. Roger Iyengar

Papers from Bogdan Kulynych's perspective

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

1. ImageNet classification with deep convolutional neural networks
2. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
3. Gradient-based learning applied to document recognition
4. Learning Multiple Layers of Features from Tiny Images
5. ImageNet: A large-scale hierarchical image database
6. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
7. Calibrating Noise to Sensitivity in Private Data Analysis
8. Deep Learning with Differential Privacy
9. Membership Inference Attacks Against Machine Learning Models
10. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)

Their papers

• Disparate Vulnerability: on the Unfairness of Privacy Attacks Against Machine Learning (2019) — 41 citations