Morten Dahl

Artificial Intelligence · 2018

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

Subfields

Whom Morten Dahl trusts overall

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

  1. Payman Mohassel
  2. Ivan Bjerre Damgård
  3. Chiraag Shashikant Juvekar
  4. Martín Abadi
  5. Valerio Pastro
  6. Yupeng Zhang
  7. Peter Rindal

Who trusts Morten Dahl overall

  1. Yi Liu

Papers from Morten Dahl's perspective

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

  1. SecureML: A System for Scalable Privacy-Preserving Machine Learning
  2. Deep Learning with Differential Privacy
  3. ABY3: A Mixed Protocol Framework for Machine Learning
  4. Multiparty Computation from Somewhat Homomorphic Encryption
  5. TensorFlow: A system for large-scale machine learning
  6. TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
  7. Practical Covertly Secure MPC for Dishonest Majority - Or: Breaking the SPDZ Limits
  8. Gazelle: A Low Latency Framework for Secure Neural Network Inference
  9. SafetyNets: Verifiable Execution of Deep Neural Networks on an Untrusted Cloud
  10. Learning Multiple Layers of Features from Tiny Images

Their papers