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20242026
most citedSecure and Efficient Watermarking for Latent Diffusion Models in Model Distribution Scenarios

1 citations · 1 across the 7 of their papers we have counts for

collaborators

11 papers

eess.IV2026

ALIEN: Analytic Latent Watermarking for Controllable Generation

Liangqi Lei, Keke Gai, Jing Yu +1

Watermarking is a technical alternative to safeguarding intellectual property and reducing misuse. Existing methods focus on optimizing watermarked latent variables to balance wate…

cs.LG2025

A Vision-Language Pre-training Model-Guided Approach for Mitigating Backdoor Attacks in Federated Learning

Keke Gai, Dongjue Wang, Jing Yu +2

Defending backdoor attacks in Federated Learning (FL) under heterogeneous client data distributions encounters limitations balancing effectiveness and privacy-preserving, while mos…

cs.CR2025

AGATE: Stealthy Black-box Watermarking for Multimodal Model Copyright Protection

Jianbo Gao, Keke Gai, Jing Yu +2

Recent advancement in large-scale Artificial Intelligence (AI) models offering multimodal services have become foundational in AI systems, making them prime targets for model theft…

cs.CR2025

PCDiff: Proactive Control for Ownership Protection in Diffusion Models with Watermark Compatibility

Keke Gai, Ziyue Shen, Jing Yu +2

With the growing demand for protecting the intellectual property (IP) of text-to-image diffusion models, we propose PCDiff -- a proactive access control framework that redefines mo…

cs.CV2025

Missing Target-Relevant Information Prediction with World Model for Accurate Zero-Shot Composed Image Retrieval

Yuanmin Tang, Jing Yu, Keke Gai +4

Zero-Shot Composed Image Retrieval (ZS-CIR) involves diverse tasks with a broad range of visual content manipulation intent across domain, scene, object, and attribute. The key cha…

cs.CV2025

MADS: Multi-Attribute Document Supervision for Zero-Shot Image Classification

Xiangyan Qu, Jing Yu, Jiamin Zhuang +3

Zero-shot learning (ZSL) aims to train a model on seen classes and recognize unseen classes by knowledge transfer through shared auxiliary information. Recent studies reveal that d…