http://g7ee5otfyict57k24vjujuqzi6pd7iwvnsry2mt3svsgwzn6o6iynsad.onion/popets/2019/popets-2019-0059.php
In particular, studies show that users sometimes reveal too much information or unintentionally release regretful messages, especially when they are careless, emotional, or unaware of privacy risks. As such, there exist great needs to be able to identify potentially-sensitive online contents, so that users could be alerted with such findings. In this paper, we propose a context-aware, text-based quantitative model for private information assessment, namely PrivScore, which...