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

8 citations · 8 across the 2 of their papers we have counts for

collaborators

6 papers

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.LG2025

Reformulation is All You Need: Addressing Malicious Text Features in DNNs

Yi Jiang, Oubo Ma, Yong Yang +2

Human language encompasses a wide range of intricate and diverse implicit features, which attackers can exploit to launch adversarial or backdoor attacks, compromising DNN models f…

cs.AI20248 cited

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

Yuyou Gan, Yong Yang, Zhe Ma +10

With the continuous development of large language models (LLMs), transformer-based models have made groundbreaking advances in numerous natural language processing (NLP) tasks, lea…