activity
20242026
collaborators

11 papers

cs.CV2026

Rel-Zero: Harnessing Patch-Pair Invariance for Robust Zero-Watermarking Against AI Editing

Pengzhen Chen, Yanwei Liu, Xiaoyan Gu +3

Recent advancements in diffusion-based image editing pose a significant threat to the authenticity of digital visual content. Traditional embedding-based watermarking methods often…

cs.CR2026

Exposing Functional Fusion: A New Class of Strategic Backdoor in Dynamic Prompt Architectures

Zeyao Liu, Zhendong Zhao, Xiaojun Chen +3

Existing ViT backdoor attacks based on backbone-overwriting full-tuning are computationally expensive and inflict performance degradation. This has forced adversaries towards the V…

cs.CR2026

ComMark: Covert and Robust Black-Box Model Watermarking with Compressed Samples

Yunfei Yang, Xiaojun Chen, Zhendong Zhao +3

The rapid advancement of deep learning has turned models into highly valuable assets due to their reliance on massive data and costly training processes. However, these models are…

cs.AI2025

Value-Aligned Prompt Moderation via Zero-Shot Agentic Rewriting for Safe Image Generation

Xin Zhao, Xiaojun Chen, Bingshan Liu +3

Generative vision-language models like Stable Diffusion demonstrate remarkable capabilities in creative media synthesis, but they also pose substantial risks of producing unsafe, o…

cs.CR2025

DeepTracer: Tracing Stolen Model via Deep Coupled Watermarks

Yunfei Yang, Xiaojun Chen, Yuexin Xuan +3

Model watermarking techniques can embed watermark information into the protected model for ownership declaration by constructing specific input-output pairs. However, existing wate…

cs.CR2025

Who Speaks for the Trigger? Dynamic Expert Routing in Backdoored Mixture-of-Experts Transformers

Xin Zhao, Xiaojun Chen, Bingshan Liu +3

Large language models (LLMs) with Mixture-of-Experts (MoE) architectures achieve impressive performance and efficiency by dynamically routing inputs to specialized subnetworks, kno…