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Shouling Ji

ACL 2026×5ICLR 2026×5KDD 2026×4CCS 2026×3AAAI 2026×2NDSS 2026安全检索与知识社会与人本多模态评测与基准
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0 一作 · 20 篇 · ACL 2026 / ICLR 2026 / KDD 2026 / CCS 2026 / AAAI 2026 / NDSS 2026

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2026 顶会论文

20
作者位次 #4/6ACL 2026Poster· Natural Language Processing

S tealth G raph: Exposing Domain-Specific Risks in LLM s through Knowledge-Graph-Guided Harmful Prompt Generation

Huawei Zheng · Xinqi Jiang · Sen Yang · Shouling Ji · Yingcai Wu · Dazhen Deng

摘要

Large language models (LLMs) are increasingly applied in specialized domains such as finance and healthcare, where they introduce unique safety risks. Domain-specific datasets of harmful prompts remain scarce and still largely rely on manual construction; public datasets mainly focus on explicit...

安全检索与知识数据与预训练OpenReview 项目页
作者位次 #10/10ACL 2026Poster· Natural Language Processing

“ I See What You Did There”: Can Large Vision-Language Models Understand Multimodal Puns?

Naen Xu · Jiayi Sheng · Changjiang Li · Chunyi Zhou · Yuyuan Li · Tianyu Du · Jun Wang · Zhihui Fu · Jinbao Li · Shouling Ji

摘要

Puns are a common form of rhetorical wordplay that exploits polysemy and phonetic similarity to create humor. In multimodal puns, visual and textual elements synergize to ground the literal sense and evoke the figurative meaning simultaneously. Although Vision-Language Models (VLMs) are widely us...

多模态评测与基准推理OpenReview 项目页
作者位次 #9/9ACL 2026Poster· Natural Language Processing

ACIA rena: Toward Unified Evaluation for Agent Cascading Injection

Hengyu An · Minxi Li · Jinghuai Zhang · Naen Xu · Chunyi Zhou · Changjiang Li · Xiaogang Xu · Tianyu Du · Shouling Ji

摘要

Collaboration and information sharing empower Multi-Agent Systems (MAS) but also introduce a critical security risk known as Agent Cascading Injection (ACI). In such attacks, a compromised agent exploits inter-agent trust to propagate malicious instructions, causing cascading failures across the...

智能体与工具安全评测与基准OpenReview 项目页
作者位次 #11/11ACL 2026Poster· Natural Language Processing

Compiling Activation Steering into Weights via Null-Space Constraints for Stealthy Backdoors

Rui Yin · Tianxu Han · Naen Xu · Changjiang Li · Ping He · Chunyi Zhou · Jun Wang · Zhihui Fu · Tianyu Du · Jinbao Li · Shouling Ji

摘要

Safety-aligned large language models (LLMs) are increasingly deployed in real-world pipelines, yet this deployment also enlarges the supply-chain attack surface: adversaries can distribute backdoored checkpoints that behave normally under standard evaluation but jailbreak when a hidden trigger is...

安全可解释性评测与基准OpenReview 项目页
作者位次 #8/8ACL 2026Findings· Findings of ACL

P er M em S afe: Benchmarking Implicit Personalized Safety of Long Horizon Self-Evolving Agents

Hengyu An · Minxi Li · Naen Xu · Chunyi Zhou · Xiaogang Xu · Tianyu Du · Jinbao Li · Shouling Ji

摘要

Self-evolving agents achieve personalization by accumulating user-specific memories over long horizons. This capability, however, introduces novel safety risks, as responses that are generally safe may become harmful in user-specific contexts. Such safety-relevant contexts often emerge implicitly...

安全评测与基准推理OpenReview 项目页

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