1 citations · 2 across the 7 of their papers we have counts for
11 papers
Optimizing the Phi-2 Small Language Model for Real-time Chatbot Applications Using Parameter-Efficient Fine-Tuning (PEFT) with QLoRA Quantization
PhanTan Khanh Nguyen, Ashfaq Ali Shafin, Khandaker Mamun Ahmed
This study explores the optimization of the Phi-2 Small Language Models (SLMs) for real-time chatbot applications through Parameter-Efficient Fine-Tuning (PEFT) and Quantized Low-R…
PatchRisk: Forecasting Future Vulnerability Exposure in Open-Source Dependency Networks
Ashfaq Ali Shafin, Khandaker Mamun Ahmed
Open-source software ecosystems are web-scale dependency networks. A downstream package can become exposed to security risk not because its own source code changes, but because one…
Leakage-Safe and Scheduler-Aware Machine Learning for Grid Job Runtime Prediction
Ashfaq Ali Shafin, Khandaker Mamun Ahmed
Accurate job runtime prediction can improve scheduling-aware resource management in grid and distributed computing environments, but prediction models must be evaluated under reali…
Not All Duplicates Are Coordination: Generic vs. Non-Generic Duplicate Campaigns in Information Operations
Ashfaq Ali Shafin, Khandaker Mamun Ahmed
Duplicate content is widely used to study coordinated behavior in social media information operations (IOs), but not all repetition provides equally meaningful evidence of coordina…
Synthetic Data in Education: Empirical Insights from Traditional Resampling and Deep Generative Models
Tapiwa Amion Chinodakufa, Ashfaq Ali Shafin, Khandaker Mamun Ahmed
Synthetic data generation offers promise for addressing data scarcity and privacy concerns in educational technology, yet practitioners lack empirical guidance for selecting betwee…
Duplicating Deceit: Inauthentic Behavior Among Indian Misinformation Duplicators on X/Twitter
Ashfaq Ali Shafin, Bogdan Carbunar
This paper investigates inauthentic duplication on social media, where multiple accounts share identical misinformation tweets. Leveraging a dataset of misinformation verified by A…
Toxicity in State Sponsored Information Operations
Ashfaq Ali Shafin, Khandaker Mamun Ahmed
State-sponsored information operations (IOs) increasingly influence global discourse on social media platforms, yet their emotional and rhetorical strategies remain inadequately ch…
The Language of Influence: Sentiment, Emotion, and Hate Speech in State Sponsored Influence Operations
Ashfaq Ali Shafin, Khandaker Mamun Ahmed
State-sponsored influence operations (SIOs) have become a pervasive and complex challenge in the digital age, particularly on social media platforms where information spreads rapid…
Victim-Centred Abuse Investigations and Defenses for Social Media Platforms
Zaid Hakami, Ashfaq Ali Shafin, Peter J. Clarke +2
Online abuse, a persistent aspect of social platform interactions, impacts user well-being and exposes flaws in platform designs that include insufficient detection efforts and ina…
THOS: A Benchmark Dataset for Targeted Hate and Offensive Speech
Saad Almohaimeed, Saleh Almohaimeed, Ashfaq Ali Shafin +2
Detecting harmful content on social media, such as Twitter, is made difficult by the fact that the seemingly simple yes/no classification conceals a significant amount of complexit…
Strategies and Vulnerabilities of Participants in Venezuelan Influence Operations
Ruben Recabarren, Bogdan Carbunar, Nestor Hernandez +1
Studies of online influence operations, coordinated efforts to disseminate and amplify disinformation, focus on forensic analysis of social networks or of publicly available datase…