2 citations · 4 across the 6 of their papers we have counts for
6 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…
Social Groups Based Content Caching in Wireless Networks
Nimrah Mustafa, Imdadullah Khan, Muhammad Asad Khan +1
The unprecedented growth of wireless mobile traffic, mainly due to multimedia traffic over online social platforms has strained the resources in the mobile backhaul network. A prom…
MAC Rate Adaptation and Cross Layer Behavior for Vehicular WiFi Access: An Experimental Study
Zafar Ayyub Qazi, Saad Nadeem, Zartash Afzal Uzmi
Vehicular WiFi is different from conventional WiFi access. Firstly, as the connections arise opportunistically, they are short lived and intermittent. Secondly, at vehicular speeds…