1 citations · 3 across the 8 of their papers we have counts for
7 papers · 1 filter
Echoes of ownership: Adversarial-guided dual injection for copyright protection in MLLMs
Chengwei Xia, Fan Ma, Ruijie Quan +3
With the rapid deployment of multimodal large language models (MLLMs), disputes regarding model ownership have become increasingly frequent, raising significant concerns about inte…
ContextGen: Contextual Layout Anchoring for Identity-Consistent Multi-Instance Generation
Ruihang Xu, Dewei Zhou, Fan Ma +1
Multi-instance image generation (MIG) remains a significant challenge for modern diffusion models due to key limitations in achieving precise control over object layout and preserv…
Adversarial-Guided Diffusion for Multimodal LLM Attacks
Chengwei Xia, Fan Ma, Ruijie Quan +2
This paper addresses the challenge of generating adversarial image using a diffusion model to deceive multimodal large language models (MLLMs) into generating the targeted response…
BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
Zhibo Tian, Ruijie Quan, Fan Ma +2
Reconstructing perceived images from human brain activity forms a crucial link between human and machine learning through Brain-Computer Interfaces. Early methods primarily focused…
Imagine and Seek: Improving Composed Image Retrieval with an Imagined Proxy
You Li, Fan Ma, Yi Yang
The Zero-shot Composed Image Retrieval (ZSCIR) requires retrieving images that match the query image and the relative captions. Current methods focus on projecting the query image…
AnySynth: Harnessing the Power of Image Synthetic Data Generation for Generalized Vision-Language Tasks
You Li, Fan Ma, Yi Yang
Diffusion models have recently been employed to generate high-quality images, reducing the need for manual data collection and improving model generalization in tasks such as objec…