81 citations · 82 across the 6 of their papers we have counts for
3 papers · 1 filter
Trustworthy AI: Securing Sensitive Data in Large Language Models
Georgios Feretzakis, Vassilios S. Verykios
Large Language Models (LLMs) have transformed natural language processing (NLP) by enabling robust text generation and understanding. However, their deployment in sensitive domains…
On Using Linear Diophantine Equations to Tune the extent of Look Ahead while Hiding Decision Tree Rules
Georgios Feretzakis, Dimitris Kalles, Vassilios S. Verykios
This paper focuses on preserving the privacy of sensitive pat-terns when inducing decision trees. We adopt a record aug-mentation approach for hiding sensitive classification rules…
Data set operations to hide decision tree rules
Dimitris Kalles, Vassilios S. Verykios, Georgios Feretzakis +1
This paper focuses on preserving the privacy of sensitive patterns when inducing decision trees. We adopt a record augmentation approach for hiding sensitive classification rules i…