Is Your Model Sensitive? SPeDaC: A New Benchmark for Detecting and Classifying Sensitive Personal Data. (arXiv:2208.06216v1 [cs.CL])

In recent years we have seen the exponential growth of applications,
including dialogue systems, that handle sensitive personal information. This
has brought to light the extremely important issue regarding personal data
protection in virtual environments. Firstly, a performing model should be able
to distinguish sentences with sensitive content from neutral sentences.
Secondly, it should be able to identify the type of personal data category
contained in them. In this way, a different privacy treatment could be
considered for each category. …

arxiv benchmark data personal data