Mazleena Salleh

Artificial Intelligence · 2011–2015

A researcher in the Science corpus: 2 papers; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

Whom Mazleena Salleh trusts overall

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

  1. Jaideep Vaidya
  2. Latanya Sweeney
  3. Charu C. Aggarwal
  4. Philip S. Yu
  5. Ke Wang
  6. Dinusha Vatsalan
  7. Chris Clifton
  8. Valentina Ciriani

Papers from Mazleena Salleh's perspective

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

  1. Privacy Preserving Data Mining
  2. L-diversity: privacy beyond k-anonymity
  3. ImageNet classification with deep convolutional neural networks
  4. A General Survey of Privacy-Preserving Data Mining Models and Algorithms
  5. Bottom-up generalization: a data mining solution to privacy protection (Industrial Conference on Data Mining)
  6. A taxonomy of privacy-preserving record linkage techniques
  7. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
  8. Privacy-preserving decision trees over vertically partitioned data
  9. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
  10. Achieving k-Anonymity Privacy Protection Using Generalization and Suppression

Their papers