activity
20242026
collaborators

11 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

FIT-Print: Towards False-claim-resistant Model Ownership Verification via Targeted Fingerprint

Shuo Shao, Haozhe Zhu, Yiming Li +3

Model fingerprinting has emerged as a crucial mechanism for safeguarding the intellectual property of open-source models, offering a non-intrusive approach that requires no modific…

cs.CV2026

TRACE: Structure-Aware Character Encoding for Robust and Generalizable Document Watermarking

Jiale Meng, Jie Zhang, Runyi Hu +3

We propose TRACE, a structure-aware framework leveraging diffusion models for localized character encoding to embed data. Unlike existing methods that rely on edge features or pre-…

cs.CV2026

When Memory Becomes a Vulnerability: Towards Multi-turn Jailbreak Attacks against Text-to-Image Generation Systems

Shiqian Zhao, Jiayang Liu, Yiming Li +9

Modern text-to-image (T2I) generation systems (e.g., DALLE 3) exploit the memory mechanism, which captures key information in multi-turn interactions for faithful generation…

cs.CR2026

BitHydra: Towards Bit-flip Inference Cost Attack against Large Language Models

Xiaobei Yan, Yiming Li, Hao Wang +2

Large language models (LLMs) are widely deployed, but their substantial compute demands make them vulnerable to inference cost attacks that aim to deliberately maximize the output…

cs.LG2025

Towards Resilient Safety-driven Unlearning for Diffusion Models against Downstream Fine-tuning

Boheng Li, Renjie Gu, Junjie Wang +5

Text-to-image (T2I) diffusion models have achieved impressive image generation quality and are increasingly fine-tuned for personalized applications. However, these models often in…