Jing Wu

Artificial Intelligence · with Benz · 2021

A researcher in the Science corpus: 1 paper; trusts 5 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 25 citations into it
• Safety, Robustness & Interpretability — 20 citations into it
• Computer Vision and Pattern Recognition — 12 citations into it

Whom Jing Wu trusts overall

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

1. Ian J. Goodfellow
2. Seyed-Mohsen Moosavi-Dezfooli

Papers from Jing Wu's perspective

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

1. Intriguing properties of neural networks
2. Explaining and Harnessing Adversarial Examples
3. Et al
4. Towards Deep Learning Models Resistant to Adversarial Attacks
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. ImageNet classification with deep convolutional neural networks
7. DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
8. Towards Evaluating the Robustness of Neural Networks
9. Universal Adversarial Perturbations
10. Generative Adversarial Networks

Their papers

• A Survey On Universal Adversarial Attack (2021) — 115 citations