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Yuekai Huang

ACL 2026×2AAAI 2026安全效率与系统多模态推理强化学习与后训练
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合作网络3
0 一作 · 3 篇 · ACL 2026 / AAAI 2026

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2026 顶会论文

3
作者位次 #4/8ACL 2026Poster· Natural Language Processing

All Changes May Have Invariant Principles: Improving Ever-Shifting Harmful Meme Detection via Design Concept Reproduction

Ziyou Jiang · Mingyang Li · Junjie Wang · Yuekai Huang · Jie Huang · Zhiyuan Chang · Zhaoyang Li · Qing Wang

摘要

Harmful memes are ever-shifting in the Internet communities, which are difficult to analyze due to their type-shifting and temporal-evolving nature. Although these memes are shifting, we find that different memes may share invariant principles, i.e., the underlying design concept of malicious use...

安全效率与系统多模态OpenReview 项目页
作者位次 #3/9ACL 2026Findings· Findings of ACL

Know Thy Enemy: Securing LLM s Against Prompt Injection via Diverse Data Synthesis and Instruction-Level Chain-of-Thought Learning

Zhiyuan Chang · Mingyang Li · Yuekai Huang · Ziyou Jiang · Xiaojun Jia · Qian Xiong · Junjie Wang · Zhaoyang Li · Qing Wang

摘要

Large language model (LLM)-integrated applications have become increasingly prevalent, yet face critical security vulnerabilities from prompt injection (PI) attacks. Defending against PI attacks faces two major issues: malicious instructions can be injected through diverse vectors, and injected i...

安全推理强化学习与后训练OpenReview 项目页

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