J. Meyer

Artificial Intelligence · with Coull · 2020

A researcher in the Science corpus: 1 paper; trusts 8 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 23 citations into it; #31,112 of 35,345 by trust here, #33,294 by citations
• Safety, Robustness & Interpretability — 22 citations into it
• Signal Processing — 22 citations into it; #6,688 of 7,572 by trust here, #7,112 by citations
• Computer Networks and Communications — 12 citations into it

Whom J. Meyer trusts overall

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

1. H. S. Anderson
2. Battista Biggio
3. Scott M. Lundberg
4. Tianyu Gu
5. Brendan Dolan-Gavitt
6. Weilin Xu
7. Kang Liu
8. Brandon Tran
9. Hung Dang
10. Fei Tony Liu

Who trusts J. Meyer overall

1. Goutham Ramakrishnan

Papers from J. Meyer's perspective

Ordered by how strongly the researchers J. Meyer 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. ImageNet classification with deep convolutional neural networks
4. Gradient-based learning applied to document recognition
5. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
6. Learning Multiple Layers of Features from Tiny Images
7. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
8. Poisoning Attacks against Support Vector Machines
9. ImageNet: A large-scale hierarchical image database
10. Long Short-Term Memory

Their papers

• Exploring Backdoor Poisoning Attacks Against Malware Classifiers (2020) — 18 citations