Kevin Tsz Chun Kwok

Safety, Robustness & Interpretability · 2015–2017

A researcher in the Science corpus: 2 papers; trusts 10 researchers and is trusted by 25 researchers here, as inferred from the citation graph.

Subfields

• Safety, Robustness & Interpretability — 30 citations into it; #520 of 2,251 by trust here, #444 by citations
• Artificial Intelligence — 29 citations into it
• Computer Vision and Pattern Recognition — 9 citations into it
• Signal Processing — 7 citations into it

Whom Kevin Tsz Chun Kwok trusts overall

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

1. Nicholas Carlini
2. Nicolas Papernot
3. Christian Szegedy
4. Ian J. Goodfellow
5. David A. Wagner
6. Geoffrey E. Hinton
7. Alex Krizhevsky
8. Patrick Drew McDaniel

Who trusts Kevin Tsz Chun Kwok overall

1. Nicholas Carlini
2. Logan Engstrom
3. Florian Tramèr
4. Eric Wong
5. Andrew Ilyas
6. Yinpeng Dong

Papers from Kevin Tsz Chun Kwok's perspective

Ordered by how strongly the researchers Kevin Tsz Chun Kwok 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. Intriguing properties of neural networks
5. Long Short-Term Memory
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. ImageNet: A large-scale hierarchical image database
9. Attention is All you Need (Neural Information Processing Systems)
10. Explaining and Harnessing Adversarial Examples

Their papers

• Synthesizing Robust Adversarial Examples (2017) — 1,876 citations
• CEPC-SPPC Preliminary Conceptual Design Report. 1. Physics and Detector (2015) — 208 citations