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Xiaogang Xu

ACL 2026×3ECCV 2026评测与基准智能体与工具安全社会与人本多模态
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0 一作 · 4 篇 · ACL 2026 / ECCV 2026

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2026 顶会论文

4
作者位次 #7/9ACL 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 #5/8ACL 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
作者位次 #7/12ACL 2026Findings· Findings of ACL

LPO : Towards Accurate GUI Agent Interaction via Location Preference Optimization

Jiaqi Tang · Yu Xia · Yi-Feng Wu · Yuwei Hu · Chen Yuhui · Qing-Guo Chen · Xiaogang Xu · Xiangyu Wu · Hao LU · Yanqing Ma · Shiyin Lu · Qifeng Chen

摘要

The advent of autonomous agents is transforming interactions with Graphical User Interfaces (GUIs) by employing natural language as a powerful intermediary. Despite the predominance of supervised fine-tuning (SFT) methods in current GUI agents for achieving spatial localization, these methods fac...

强化学习与后训练智能体与工具评测与基准OpenReview 项目页

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