3 citations · 11 across the 9 of their papers we have counts for
9 papers
ConvoCache: Smart Re-Use of Chatbot Responses
Conor Atkins, Ian Wood, Mohamed Ali Kaafar +3
We present ConvoCache, a conversational caching system that solves the problem of slow and expensive generative AI models in spoken chatbots. ConvoCache finds a semantically simila…
SenTopX: Benchmark for User Sentiment on Various Topics
Hina Qayyum, Muhammad Ikram, Benjamin Zhao +3
Toxic sentiment analysis on Twitter (X) often focuses on specific topics and events such as politics and elections. Datasets of toxic users in such research are typically gathered…
On mission Twitter Profiles: A Study of Selective Toxic Behavior
Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao +3
The argument for persistent social media influence campaigns, often funded by malicious entities, is gaining traction. These entities utilize instrumented profiles to disseminate d…
Exploring the Distinctive Tweeting Patterns of Toxic Twitter Users
Hina Qayyum, Muhammad Ikram, Benjamin Zi Hao Zhao +3
In the pursuit of bolstering user safety, social media platforms deploy active moderation strategies, including content removal and user suspension. These measures target users eng…
Challenges with Passwordless FIDO2 in an Enterprise Setting: A Usability Study
Michal Kepkowski, Maciej Machulak, Ian Wood +1
Fast Identity Online 2 (FIDO2), a modern authentication protocol, is gaining popularity as a default strong authentication mechanism. It has been recognized as a leading candidate…
Unintended Memorization and Timing Attacks in Named Entity Recognition Models
Rana Salal Ali, Benjamin Zi Hao Zhao, Hassan Jameel Asghar +3
Named entity recognition models (NER), are widely used for identifying named entities (e.g., individuals, locations, and other information) in text documents. Machine learning base…