most citedAI Agents Alone Are Not (Yet) Sufficient for Social Simulation

1 citations · 1 across the 3 of their papers we have counts for

collaborators

5 papers

cs.CR2026

Who Pays the Price? Stakeholder-Centric Prompt Injection Benchmarking for Real-world Web Agents

Zihao Wang, Yiming Li, Yutong Wu +8

LLM-based web agents are increasingly deployed in real-world settings such as e-commerce, where they interact extensively with untrusted web content while executing actions that ca…

cs.CR2026

Cert-LAS: Toward Certified Model Ownership Verification for Text-to-Image Diffusion Models via Layer-Adaptive Smoothing

Leyi Qi, Yiming Li, Siyuan Liang +2

Large-scale text-to-image (T2I) diffusion models have enabled unprecedented creative applications, but their unauthorized use has raised serious intellectual property concerns, mak…

cs.MA20261 cited

AI Agents Alone Are Not (Yet) Sufficient for Social Simulation

Yiming Li, Dacheng Tao

Recent advances in large language models (LLMs) have spurred growing interest in using LLM-integrated agents for social simulation, often under the implicit assumption that realist…

cs.CR2025

Odysseus: Jailbreaking Commercial Multimodal LLM-integrated Systems via Dual Steganography

Songze Li, Jiameng Cheng, Yiming Li +2

By integrating language understanding with perceptual modalities such as images, multimodal large language models (MLLMs) constitute a critical substrate for modern AI systems, par…

cs.CR2025

Responsible Diffusion: A Comprehensive Survey on Safety, Ethics, and Trust in Diffusion Models

Kang Wei, Xin Yuan, Fushuo Huo +5

Diffusion models (DMs) have been investigated in various domains due to their ability to generate high-quality data, thereby attracting significant attention. However, similar to t…