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Sep 2026
Large language models (LLMs) increasingly power autonomous coding agents such as Codex and Claude Code, yet their training corpora may contain confidential credentials exposed in public repositories or collected from private development artifacts, creating risks of memorization and subsequent leakage. Existing extracti...
Shi-Qian Zhao, Si-Wei Jiang, Xin-Feng Li et al.
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Preprint
Aug 2026
Recently, large language model (LLM) agents, such as Codex, Claude Code, and OpenClaw, have become capable of planning and executing long-horizon tasks through repeated tool calls. This capability also creates new opportunities for prompt injection. Existing attacks either place the malicious objective in one explicit...
Shiqian Zhao, Yang-Fan Zhou, Xin-Feng Li et al.
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Jul 2026
Results suggest that persistent memory can turn ordinary external processing into a practical pathway for long-term agent compromise.
Ye-Chao Zhang, Shiqian Zhao, Jiawen Zhang et al.
· arXiv.org · 1 citation
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