4 papers
Separating Clicks from Baits: Using Large Language Models to Detect Misleading YouTube Thumbnails
Wajiha Naveed, Muhammad Muneeb Pervez, Zaeem Mohtashim Khan +2
Misleading video thumbnails on platforms like YouTube are a pervasive problem, undermining user trust and platform integrity. This paper proposes a novel multi-modal detection pipe…
ThumbnailTruth: A Multi-Modal LLM Approach for Detecting Misleading YouTube Thumbnails Across Diverse Cultural Settings
Wajiha Naveed, Zartash Afzal Uzmi, Zafar Ayyub Qazi
Misleading video thumbnails on platforms like YouTube are a pervasive problem, undermining user trust and platform integrity. This paper proposes a novel multi-modal detection pipe…
Semantic Caching for Improving Web Affordability
Hafsa Akbar, Danish Athar, Muhammad Ayain Fida Rana +4
The rapid growth of web content has led to increasingly large webpages, posing significant challenges for Internet affordability, especially in developing countries where data cost…
VaulTor: Putting the TEE in Tor
Humza Ikram, Rumaisa Habib, Muaz Ali +1
Online services that desire to operate anonymously routinely host themselves as 'Hidden Services' in the Tor network. However, these services are frequently threatened by deanonymi…