Papers by Shao-Yu Weng

1 papers
Adversary-Aware Rumor Detection (2021.findings-acl)

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Challenge: Existing rumor detection models do not detect malicious attacks, e.g., framing.
Approach: They propose a weighted-edge transformer-graph network and position-aware Adversarial Response Generator to improve the vulnerability of detection models.
Outcome: The proposed framework achieves state-of-the-art on various rumor detection tasks and maintains performance under adversarial learning.

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