Rickmer F. Braren

Artificial Intelligence · 2017–2024

A researcher in the Science corpus: 5 papers; trusts 3 researchers and is trusted by 2 researchers here, as inferred from the citation graph.

Subfields

Whom Rickmer F. Braren trusts

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

  1. Arun Rajkumar (in Privacy & Security)
  2. Shivani Agarwal (in Privacy & Security)
  3. H. Brendan McMahan (in Artificial Intelligence)

Who trusts Rickmer F. Braren

  1. Bingsheng He (in Artificial Intelligence)
  2. Qinbin Li (in Artificial Intelligence)

Papers from Rickmer F. Braren's perspective

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

  1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  2. ImageNet classification with deep convolutional neural networks
  3. ImageNet: A large-scale hierarchical image database
  4. Explaining and Harnessing Adversarial Examples
  5. Deep Learning with Differential Privacy
  6. Fully convolutional networks for semantic segmentation
  7. Membership Inference Attacks Against Machine Learning Models
  8. U-Net: Convolutional Networks for Biomedical Image Segmentation (International Conference on Medical Image Computing and Computer-Assisted Intervention)
  9. Caffe: Convolutional Architecture for Fast Feature Embedding
  10. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

Their papers