Michael E. Kounavis

Artificial Intelligence · 2017

A researcher in the Science corpus: 1 paper; trusts 6 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Michael E. Kounavis trusts overall

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

  1. Alex Krizhevsky
  2. Nicolas Papernot

Who trusts Michael E. Kounavis overall

  1. Ajmal Saeed Mian
  2. Naveed Akhtar

Papers from Michael E. Kounavis's perspective

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

  1. ImageNet classification with deep convolutional neural networks
  2. Learning Multiple Layers of Features from Tiny Images
  3. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
  4. Intriguing properties of neural networks
  5. Explaining and Harnessing Adversarial Examples
  6. Adversarial examples in the physical world
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. DeepFool: A Simple and Accurate Method to Fool Deep Neural Networks
  9. Distillation as a Defense to Adversarial Perturbations Against Deep Neural Networks (IEEE Symposium on Security and Privacy)
  10. Towards Deep Neural Network Architectures Robust to Adversarial Examples

Their papers