activity
20242026
most citedLarge Language Model Watermark Stealing With Mixed Integer Programming

1 citations · 1 across the 5 of their papers we have counts for

collaborators

5 papers

cs.AI2026

Are You Still the Agent I Authorized? Earned Authority under a Fixed Ceiling for Evolving Agents

Zhaoxi Zhang, Xiaomei Zhang

Long-lived AI agents increasingly evolve after deployment by retaining experience, acquiring skills and tools, revising workflows, delegating work, and moving across task phases. T…

cs.CR2026

Less Is More -- Until It Breaks: Security Pitfalls of Vision Token Compression in Large Vision-Language Models

Xiaomei Zhang, Zhaoxi Zhang, Leo Yu Zhang +3

Visual token compression is widely adopted to improve the inference efficiency of Large Vision-Language Models (LVLMs), enabling their deployment in latency-sensitive and resource-…

cs.CR2025

Character-Level Perturbations Disrupt LLM Watermarks

Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang +5

Large Language Model (LLM) watermarking embeds detectable signals into generated text for copyright protection, misuse prevention, and content detection. While prior studies evalua…

cs.CL2025

Exploring Gradient-Guided Masked Language Model to Detect Textual Adversarial Attacks

Xiaomei Zhang, Zhaoxi Zhang, Yanjun Zhang +4

Textual adversarial examples pose serious threats to the reliability of natural language processing systems. Recent studies suggest that adversarial examples tend to deviate from t…

cs.CR2024★ 1 cited

Large Language Model Watermark Stealing With Mixed Integer Programming

Zhaoxi Zhang, Xiaomei Zhang, Yanjun Zhang +5

The Large Language Model (LLM) watermark is a newly emerging technique that shows promise in addressing concerns surrounding LLM copyright, monitoring AI-generated text, and preven…