Felix Schuster

Artificial Intelligence · 2015–2016

A researcher in the Science corpus: 3 papers; trusts 5 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 82 citations into it; #34,587 of 35,345 by trust here, #10,942 by citations
• Information Systems — 27 citations into it; #8,536 of 8,771 by trust here, #1,778 by citations
• Computer Networks and Communications — 24 citations into it
• Privacy & Security — 16 citations into it; #669 of 709 by trust here, #292 by citations
• Hardware and Architecture — 12 citations into it
• Computational Theory and Mathematics — 9 citations into it

Whom Felix Schuster trusts overall

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

1. Craig Gentry
2. Lucas Davi
3. Mihir Bellare
4. Muthu Dayalan
5. O. Ohrimenko
6. Jonathan M. McCune
7. Andrew Baumann
8. David A. McGrew
9. Nicholas Carlini
10. Martín Abadi

Who trusts Felix Schuster overall

1. O. Ohrimenko
2. Congzheng Song
3. Rohit Sinha
4. Jamie Hayes
5. Florian Tramèr
6. Fan Mo
7. Tyler Hunt
8. Ben Fisch
9. Nishant Kumar
10. Wenting Zheng

Papers from Felix Schuster's perspective

Ordered by how strongly the researchers Felix Schuster 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. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Attention is All you Need (Neural Information Processing Systems)
8. ImageNet: A large-scale hierarchical image database
9. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
10. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)

Their papers

• VC3: Trustworthy Data Analytics in the Cloud Using SGX (2015) — 675 citations
• Counterfeit Object-oriented Programming: On the Difficulty of Preventing Code Reuse Attacks in C++ Applications (2015) — 429 citations
• Oblivious Multi-Party Machine Learning on Trusted Processors (2016) — 602 citations