Chris Waites

Artificial Intelligence · 2021–2022

A researcher in the Science corpus: 2 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Chris Waites trusts overall

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

  1. Cynthia Dwork

Papers from Chris Waites's perspective

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

  1. Learning Multiple Layers of Features from Tiny Images
  2. Gradient-based learning applied to document recognition
  3. Membership Inference Attacks Against Machine Learning Models
  4. Preserving Statistical Validity in Adaptive Data Analysis
  5. The Algorithmic Foundations of Differential Privacy
  6. Scalable Private Learning with PATE
  7. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
  8. Towards Making Systems Forget with Machine Unlearning
  9. Our Data, Ourselves: Privacy Via Distributed Noise Generation
  10. Generalization in Adaptive Data Analysis and Holdout Reuse

Their papers