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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

Sanghyun Hong

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3 papers indexed here

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Preprint Oct 2026

How Do Hardware Faults Manifest Differently in LLM Agents?

We present the first systematic study of the resilience of large language model (LLM) agents to random hardware-induced faults. Prior work on hardware fault resilience in LLMs focuses on model-level outcomes, such as incorrect outputs or generation failures. Yet LLM agents repeatedly interact with tools and environment...

Aiden Rubey, Zachary Coalson, Cong Chen et al. · 0 citations
Open access Oct 2026

AgentBreaker: Evaluating Context-Aware Indirect Prompt Injection Risks in Modern Web Agents

Recent advances in large language models (LLMs) have enabled autonomous web agents to perform complex user tasks by leveraging their adaptive decision-making capabilities. Despite their growing use in crawling the Web, their security implications under indirect prompt injection (IPI) attacks remain largely understudied...

Yong-Bi Son, Changoo Lee, Dongwon Shin et al. · 0 citations
#machine learning Preprint Aug 2026

On the Resilience of Text-to-Video Diffusion Models to Hardware Faults

An extensive fault-injection study covering both computational and memory faults across three T2V models and a representative benchmark reveals reliability risks in deployed T2V systems and motivates further research on improving fault resilience.

Zachary Coalson, A. M. Aahad, S. Doehring et al. · 0 citations

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