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20242026
most citedNavigating the Risks: A Survey of Security, Privacy, and Ethics Threats in LLM-Based Agents

8 citations · 8 across the 8 of their papers we have counts for

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6 papers · 1 filter

cs.CR2026

When HTTP 402 Meets the Blockchain: Risks on Emerging x402 Payments

Qinying Wang, Yong Yang, Yuan Chen +2

x402 is an emerging payment protocol for Web APIs and autonomous AI agents. x402 extends HTTP 402 with a payment negotiation flow and delegates payment proof verification and on-ch…

cs.CR2026

Securing the AI Agent: A Unified Framework for Multi-Layer Agent Red Teaming

Yong Yang, Xing Zheng, Huiyu Wu +7

The fast growth of open-source AI infrastructure, from model serving engines and agent platforms to the Model Context Protocol (MCP) ecosystem and the language models themselves, h…

cs.CR2026

Understanding and Mitigating Prompt Leaking Attacks in Real-World LLM-Based Applications

Yong Yang, Chong Fu, Tong Zhang +6

Large language model (LLM)-based applications rely on system prompts to encode core logic and developer-defined constraints, making these prompts important intellectual property. H…

cs.CR2026

Customization under Fire: Plugin Poisoning in Text-to-Image Ecosystem

Jiahao Chen, Xing He, Yong Yang +6

The prosperity of text-to-image (T2I) models has fostered a vibrant share-and-play ecosystem centered on Low-Rank Adaptation (LoRA) plugins, which allow users to customize and shar…

cs.CR2026

IntraGuard: Committee-Side Defenses Against Review Outsourcing to Commercial Chatbots

Oubo Ma, Ruixiao Lin, Jiahao Chen +3

LLMs become increasingly capable, editorial boards and program committees are growing concerned about reviewers who fully outsource peer review to commercial chatbots. This concern…

cs.CR2024

PRSA: Prompt Stealing Attacks against Real-World Prompt Services

Yong Yang, Changjiang Li, Qingming Li +6

Recently, large language models (LLMs) have garnered widespread attention for their exceptional capabilities. Prompts are central to the functionality and performance of LLMs, maki…