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Fiqri Ramadhan Tambunan

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Conference Open access Aug 2026

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

A baseline resilience study of BERT, RoBERTa, and BERTweet against three increasingly complex adversarial attacks: label flipping, trigger injection, and clean-label poisoning shows the domain-aligned BERTweet model demonstrated the highest baseline resilience to these specific manipulations.

Clarencia Augustine, Devon Nicholas, Vania Alicia Yocelin et al. · 0 citations

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