Tajul Islam Rafi

Adversarial Robustness Evaluation of Traditional and Transformer-Based NLP Models for Toxic Comment Detection

Investigation of the effectiveness and adversarial robustness of two NLP classification approaches: a traditional TF-IDF Logistic Regression model and a transformer-based Bidirectional Encoder Representations from Transformers model demonstrate the advantages of transformer-based architectures for cybersecurity-oriented content moderation systems operating in adversarial online environments.