Fiqri Ramadhan Tambunan

Evaluating the Robustness of Transformer-based Models Against Data Poisoning Attacks in Social Media Sentiment Analysis

Transformer-based Pre-trained Language Models (PLMs) has become standard tools for sentiment analysis on social platforms, yet their vulnerability to data poisoning during training remains a critical concern. In this paper, we conduct a baseline resilience study of BERT, RoBERTa, and BERTweet against three increasingly...