Deyue Zhang

2017

A researcher in the Science corpus: 1 paper; trusts 2 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Whom Deyue Zhang trusts overall

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

  1. Yann LeCun

Papers from Deyue Zhang's perspective

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

  1. Explaining and Harnessing Adversarial Examples
  2. Caffe: Convolutional Architecture for Fast Feature Embedding
  3. The mnist database of handwritten digits
  4. Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks (IEEE Symposium on Security and Privacy)
  5. Deep neural networks are easily fooled: High confidence predictions for unrecognizable images
  6. Practical Black-Box Attacks against Machine Learning
  7. The security of machine learning
  8. The Limitations of Deep Learning in Adversarial Settings
  9. Accessorize to a Crime: Real and Stealthy Attacks on State-of-the-Art Face Recognition
  10. Towards the Science of Security and Privacy in Machine Learning

Their papers