User Behavior Analysis in Privacy Protection with Large Language Models: a Study on Privacy Preferences with Limited Data

With the widespread application of large language models LLMs, user privacy protection has become a significant research topic. Existing privacy preference modeling methods often rely on large-scale user data, making effective privacy preference analysis challenging in data-limited environments...

Rapid7 Releases Q2 2020 Quarterly Threat Report

It’s hard to believe it’s already the end of September, and with it comes Rapid7’s Q2 2020 Quarterly Threat Report. As in previous quarters, our Rapid7 research team produced this report by analyzing the data from our internet telemetry-gathering systems Project Sonar and Project Heisenberg, as...

Suppressing the Adversary via Threat Hunt Teams

What a brave new world. Global cyber insurgencies continue unabated. Decreasing dwell time is imperative in 2018. In order to achieve this goal, we must embrace the hunt. Every organization should stand up a threat hunt team. The team must be multidisciplinary with experience in e-forensics and...