Orr Dunkelman

Artificial Intelligence · 2001–2019

A researcher in the Science corpus: 3 papers; trusts 6 researchers and is trusted by 6 researchers here, as inferred from the citation graph.

Subfields

Whom Orr Dunkelman trusts overall

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

  1. David A. Wagner
  2. Nicholas Carlini
  3. Shixiang Shane Gu
  4. Luca Rigazio
  5. Patrick Drew McDaniel
  6. Nicolas Papernot

Who trusts Orr Dunkelman overall

  1. Jian Guo
  2. Vishal A. Thakor
  3. Kyoji Shibutani
  4. Amir Moradi
  5. Axel York Poschmann

Papers from Orr Dunkelman's perspective

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

  1. Intriguing properties of neural networks
  2. ImageNet classification with deep convolutional neural networks
  3. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  4. Towards Deep Learning Models Resistant to Adversarial Attacks
  5. Gradient-based learning applied to document recognition
  6. Learning Multiple Layers of Features from Tiny Images
  7. Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks (IEEE Symposium on Security and Privacy)
  8. Towards Evaluating the Robustness of Neural Networks
  9. Long Short-Term Memory
  10. Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples

Their papers