3 citations · 3 across the 6 of their papers we have counts for
6 papers · 1 filter
When Youth Enter the Algorithmic Wild: Discovering and Understanding Potentially Harmful Teen Videos on Douyin and Kwai
Shaoxuan Zhou, Yafei Sun, Jing Zhang +1
Short-video platforms like Douyin and Kwai have become central to adolescent digital life, but they also risk exposing teens to algorithmically amplified harmful content. Despite i…
Seeing the Unseen: Rethinking Illicit Promotion Detection with In-Context Learning
Sangyi Wu, Junpu Guo, Xianghang Mi
Illicit online promotion is a persistent threat that evolves to evade detection. Existing moderation systems remain tethered to platform-specific supervision and static taxonomies,…
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…
Reflected Search Poisoning for Illicit Promotion
Sangyi Wu, Jialong Xue, Shaoxuan Zhou +1
As an emerging black hat search engine optimization (SEO) technique, reflected search poisoning (RSP) allows a miscreant to free-ride the reputation of high-ranking websites, poiso…
Port Forwarding Services Are Forwarding Security Risks
Haoyuan Wang, Yue Xue, Xuan Feng +2
We conduct the first comprehensive security study on representative port forwarding services (PFS), which emerge in recent years and make the web services deployed in internal netw…
Enabling Privacy-Preserving Cyber Threat Detection with Federated Learning
Yu Bi, Yekai Li, Xuan Feng +1
Despite achieving good performance and wide adoption, machine learning based security detection models (e.g., malware classifiers) are subject to concept drift and evasive evolutio…