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Sponsored AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI AI AM CLAUDE, A Beginner's Guide: Learn the basics of working with AI

Author

Xi-Xun Lin

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2 papers indexed here

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Conference Open access Sep 2026

Unsupervised Graph-Level Anomaly Detection via Multi-granular Graph Structure Learning

Graph-level anomaly detection (GLAD) aims to identify graphs that deviate from the majority in a dataset of graphs. Existing methods typically adopt either a global aggregation perspective that summarizes nodes within a graph into a representation vector, or a subgraph-oriented perspective which regards certain local s...

Ge Zhang, Hui-Mei Li, Guo-Hao Sun et al. · 0 citations
Preprint Aug 2026

SkillSentry: Adaptive Honey Worlds for Dynamic Safety Testing of Agent Skills

This work presents SkillSentry, a dynamic safety-testing framework based on adaptive honey worlds, which infers the intended capability boundary of a skill, constructs an LLM-simulated environment with controlled decoy resources, and adaptively generates tasks to explore its behavioral states.

Nizhang Li, Zong-Hao Ying, Xiang-Fan Wu et al. · 0 citations

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