Adversarial Examples

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 109 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 13 citations into it
• Safety, Robustness & Interpretability — 8 citations into it
• Computer Vision and Pattern Recognition — 7 citations into it

Whom Adversarial Examples trusts overall

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

1. Ian J. Goodfellow
2. Kaiming He
3. Christian Szegedy
4. Geoffrey E. Hinton
5. Sergey Zagoruyko
6. Ilya Sutskever
7. Alex Krizhevsky
8. Yoshua Bengio
9. Alexey Kurakin
10. Diederik P. Kingma

Who trusts Adversarial Examples overall

1. Eric Wong
2. Yandong Li
3. Yi Zhang
4. Tejas D. Kulkarni
5. Leslie Rice
6. Lijun Li
7. Orestis Plevrakis
8. Ankush Gupta
9. J. Kolter
10. Liqiang Wang

Papers from Adversarial Examples's perspective

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

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Long Short-Term Memory
4. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
5. Gradient-based learning applied to document recognition
6. Attention is All you Need (Neural Information Processing Systems)
7. ImageNet: A large-scale hierarchical image database
8. Very Deep Convolutional Networks for Large-Scale Image Recognition (International Conference on Learning Representations)
9. Learning Multiple Layers of Features from Tiny Images
10. Going deeper with convolutions

Their papers

• THERMOMETER ENCODING: ONE HOT WAY TO RESIST (2017)