Papers by Yijie Lu

2 papers
EVA: Evolving Semantic Adversaries for Red-Teaming GUI Agents Against Environmental Injection Attacks (2026.findings-acl)

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Challenge: Existing methods for red-teaming face a trade-off between requiring target-specific knowledge and incurring prohibitive computational costs.
Approach: They propose a framework that evolves payloads exclusively on the semantic dimension via a discovery-deployment pipeline.
Outcome: Experiments show that EVA outperforms baselines in terms of attack success rate while evolving benign seeds into successful attacks within 1.18 to 1.71 iterations.
LLM-based Rumor Detection via Influence Guided Sample Selection and Game-based Perspective Analysis (2025.acl-long)

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Challenge: Existing methods for rumor detection on social media are limited by limited modeling capacity and insufficient training corpora.
Approach: They propose an SFT-based rumor detection model with Influence guided Sample selection and Game-based multi-perspective analysis to address these issues.
Outcome: The proposed model outperforms existing SOTA on three datasets.

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