IFC - Editorial Board
Recent advances in preserving privacy when mining data
The applicability of the perturbation based privacy preserving data mining for real-world data
Towards optimal k-anonymization
Privacy-preserving imputation of missing data
Transforming semi-honest protocols to ensure accountability
A MaxMin approach for hiding frequent itemsets
Discovering frequent itemsets by support approximation and itemset clustering
Augmenting the power of LSI in text retrieval: Singular value rescaling
A conceptual view on trajectories
Optimizing lock protocols for native XML processing