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Zhiyuan Chang

ACL 2026×2安全效率与系统多模态推理强化学习与后训练
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58
一作贡献30
核心/参与5
方向广度10
合作网络3
1 一作 · 2 篇 · ACL 2026

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2026 顶会论文

2
作者位次 #6/8ACL 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
一作ACL 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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