Andrew J. Paverd

Privacy & Security · 2016–2019

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

Subfields

Whom Andrew J. Paverd trusts

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

  1. Ken Lang (in Natural Language Processing)
  2. Karim Eldefrawy (in Privacy & Security)

Papers from Andrew J. Paverd's perspective

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

  1. Long Short-Term Memory
  2. Attention is All you Need (Neural Information Processing Systems)
  3. BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding (North American Chapter of the Association for Computational Linguistics)
  4. Language Models are Unsupervised Multitask Learners
  5. Deep Learning with Differential Privacy
  6. Membership Inference Attacks Against Machine Learning Models
  7. The Algorithmic Foundations of Differential Privacy
  8. Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures
  9. The Secret Sharer: Evaluating and Testing Unintended Memorization in Neural Networks
  10. Stochastic gradient descent with differentially private updates

Their papers