Glenn Dawson

Artificial Intelligence · 2018

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 — 23 citations into it
• Safety, Robustness & Interpretability — 21 citations into it
• Signal Processing — 8 citations into it
• Computer Networks and Communications — 5 citations into it

Whom Glenn Dawson trusts overall

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

1. Battista Biggio
2. Blaine Nelson

Papers from Glenn Dawson's perspective

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

1. Explaining and Harnessing Adversarial Examples
2. ImageNet classification with deep convolutional neural networks
3. Scikit-learn: Machine Learning in Python
4. Evasion Attacks against Machine Learning at Test Time
5. Adversarial classification
6. Gradient-based learning applied to document recognition
7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
8. Exploiting Machine Learning to Subvert Your Spam Filter
9. Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks (IEEE Symposium on Security and Privacy)
10. Adversarial machine learning

Their papers

• Attack Strength vs. Detectability Dilemma in Adversarial Machine Learning (2018) — 36 citations