Publicaties

• 2024

  Towards Purpose-aware Privacy-Preserving Techniques for Predictive Applications

  M. Slokom

• 2022

  Machine Learning Meets Data Modification

  The Potential of Pre-processing for Privacy Enchancement
  Giuseppe Garofalo / Manel Slokom / Davy Preuveneers / Wouter Joosen / Martha Larson

• 2022

  When Machine Learning Models Leak

  An Exploration of Synthetic Training Data
  Manel Slokom / Peter Paul de Wolf / Martha Larson

• 2021

  SimuRec

  Workshop on synthetic data and simulation methods for recommender systems research
  Michael D. Ekstrand / Allison Chaney / Pablo Castells / Robin Burke / David Rohde / Manel Slokom

• 2021

  Towards user-oriented privacy for recommender system data

  A personalization-based approach to gender obfuscation for user profiles
  Manel Slokom / Alan Hanjalic / Martha Larson

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