Hash the Universe: Differentially Private Text Extraction with Feature Hashing.
Trans. Data Priv., January, 2025
Towards Protecting Sensitive Text with Differential Privacy.
Proceedings of the 20th IEEE International Conference on Trust, 2021
A non-specialized ensemble classifier using multi-objective optimization.
Neurocomputing, 2020
Pruning High-Similarity Clusters to Optimize Data Diversity when Building Ensemble Classifiers.
Int. J. Comput. Intell. Appl., 2019
Decision Tree Classification with Differential Privacy: A Survey.
ACM Comput. Surv., 2019
Comparing sets of patterns with the Jaccard index.
Australas. J. Inf. Syst., 2018
The Optimized Selection of Base-Classifiers for Ensemble Classification using a Multi-Objective Genetic Algorithm.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018
Optimizing clustering to promote data diversity when generating an ensemble classifier.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018
Measuring Rule Retention in Anonymized Data - When One Measure Is Not Enough.
Trans. Data Priv., 2017
Differentially private random decision forests using smooth sensitivity.
Expert Syst. Appl., 2017
Removing Bias from Diverse Data Clusters for Ensemble Classification.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
An anonymization technique using intersected decision trees.
J. King Saud Univ. Comput. Inf. Sci., 2015
Measuring pattern retention in anonymized data - where one measure is not enough.
CoRR, 2015
A Differentially Private Decision Forest.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015
A Differentially Private Random Decision Forest Using Reliable Signal-to-Noise Ratios.
Proceedings of the AI 2015: Advances in Artificial Intelligence, 2015
Quality Evaluation of an Anonymized Dataset.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014