Author

Peng-Fei He

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Preprint Oct 2026

ASPIRE: Agentic Safety&Prompt Injection Red-teaming Engine

LLM agents retrieve untrusted content and act through tools, creating indirect prompt-injection risks that can cause unauthorized actions or persistent state changes. Existing automated red-teaming largely optimizes payloads for pre-specified scenarios, leaving latent vulnerabilities across the agent's behavior space u...

Peng-Fei He, Deepanjan Mitra, Vishesh Sharma et al. · 0 citations

#artificial intelligence Preprint Sep 2026

The Like Trap: Multi-Stage Poisoning against Agents in Similarity-based Recommendation Systems

With recent advancements in large language models (LLMs) and LLM-based agents, these agents are becoming increasingly autonomous and gaining broader access to act on users'behalf on the internet. However, the vulnerability of automated agents deployed on social media platforms (e.g., for managing a user's personal acco...

Yue Xing, Peng-Fei He, Zi-Tao Li · 0 citations