2 papers
cs.CL2025
Beyond One-Size-Fits-All: Personalized Harmful Content Detection with In-Context Learning
Rufan Zhang, Lin Zhang, Xianghang Mi
The proliferation of harmful online content--e.g., toxicity, spam, and negative sentiment--demands robust and adaptable moderation systems. However, prevailing moderation systems a…
cs.CR2024
SpamDam: Towards Privacy-Preserving and Adversary-Resistant SMS Spam Detection
Yekai Li, Rufan Zhang, Wenxin Rong +1
In this study, we introduce SpamDam, a SMS spam detection framework designed to overcome key challenges in detecting and understanding SMS spam, such as the lack of public SMS spam…