Author

Yunlong Mao

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#natural language process... Preprint Oct 2026

When Charts Deceive Web Agents: A Paired Benchmark for Misleading Visualization-Grounded Tasks

Web agents increasingly browse, interpret, and act on web content on behalf of users. In many realistic workflows, however, the visual evidence they consume is not neutral: charts and dashboards can be misleading, shaping judgments without issuing any explicit malicious instruction. Unlike chart question answering, Web...

Yi-Sheng Li, Dong-Ming Han, Hong-Kun Pan et al. · 0 citations

#artificial intelligence Apr 2026

Secret Stealing Attacks on Local LLM Fine-Tuning through Supply-Chain Model Code Backdoors

This work introduces a deterministic full-chain memorization mechanism that locks onto token-level secrets in dynamic computation flows via online tensor-rule matching, and leverages value-gradient decoupling to stealthily inject attack gradients, overcoming gradient drowning to force model memorization.

Zi Li, Tianyang Zhou, Wenze Li et al. · arXiv.org · 0 citations

2026

Spa: Stealthy and Persistent Backdoor Attacks in Federated Learning via Feature-Space Alignment

Federated Learning (FL) has emerged as a leading paradigm for privacy-preserving machine learning, yet the distributed nature of FL introduces unique security challenges, notably the threat of backdoor attacks. However, existing attack strategies face a critical limitation: reliance on end-to-end supervision creates a...

Chengcheng Zhu, Ye Li, Bosen Rao et al. · IEEE Transactions on Informa... · 0 citations