PRIVAFRAME: A frame-based knowledge graph for sensitive personal data

G Gambarelli, A Gangemi - Big Data and Cognitive Computing, 2022 - mdpi.com
The pervasiveness of dialogue systems and virtual conversation applications raises an
important theme: the potential of sharing sensitive information, and the consequent need for …

KGDetector: Detecting Chinese Sensitive Information via Knowledge Graph‐Enhanced BERT

K Cong, T Li, B Li, Z Gao, Y Xu… - Security and …, 2022 - Wiley Online Library
The Bidirectional Encoder Representations from Transformers (BERT) technique has been
widely used in detecting Chinese sensitive information. However, existing BERT‐based …

Is your model sensitive? SPeDaC: A new benchmark for detecting and classifying sensitive personal data

G Gambarelli, A Gangemi, R Tripodi - arXiv preprint arXiv:2208.06216, 2022 - arxiv.org
In recent years, there has been an exponential growth of applications, including dialogue
systems, that handle sensitive personal information. This has brought to light the extremely …

KGAT: An Enhanced Graph-Based Model for Text Classification

X Wang, C Wang, H Yang, X Zhang, Q Shen… - … Conference on Natural …, 2022 - Springer
As a fundamental task in natural language processing, text classification, which is to predict
the class label of a given text, has been intensively studied. Consequently, a host of …

A Comparison of Sensitive Information Detection Framework using LSTM and RNN Techniques

NIM Roslan, CFM Foozy - Journal of Soft Computing and …, 2022 - publisher.uthm.edu.my
Sensitive information is meant to be stored securely to avoid any data breach. Hence this
research emphasized on whether or not Long Short Term Memory and Recurrent Neural …