Kevin Fu

Artificial Intelligence · TSEC · 2000–2019

A researcher in the Science corpus: 10 papers; trusts 8 researchers and is trusted by 10 researchers here, as inferred from the citation graph.

Subfields

Whom Kevin Fu trusts overall

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

  1. Dan Boneh
  2. Miguel Oom Temudo de Castro
  3. Chris Lattner

Who trusts Kevin Fu overall

  1. Frank Dabek
  2. Susan Hohenberger
  3. Benjamin Braun
  4. Craig Costello
  5. Matthew D. Green
  6. Jan Camenisch
  7. Assad Abbas
  8. Ran Canetti
  9. Wenxiu Ding
  10. Srinath T. V. Setty

Papers from Kevin Fu's perspective

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

  1. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  2. Explaining and Harnessing Adversarial Examples
  3. Towards Deep Learning Models Resistant to Adversarial Attacks
  4. Towards Evaluating the Robustness of Neural Networks
  5. ImageNet classification with deep convolutional neural networks
  6. Spatial Transformer Networks
  7. Ensemble Adversarial Training: Attacks and Defenses
  8. Practical Black-Box Attacks against Machine Learning
  9. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  10. Gradient-based learning applied to document recognition

Their papers