Xianghang Mi

The paper proposes using In-Context Learning (ICL) as a unified, proactive framework for detecting evolving illicit online promotions, achieving high accuracy with significantly fewer labeled examples and discovering novel threats.

The paper introduces PHTV-Scout, a novel framework that analyzes Douyin and Kwai data, revealing a high prevalence of potentially harmful teen videos, particularly CSE imagery, and demonstrating that platform safeguards are insufficient due to low adoption rates.

Pepper is a novel, high-bandwidth anonymous broadcast protocol that achieves cryptographic sender anonymity and significantly improves messaging throughput compared to existing state-of-the-art systems.