6 papers
Enhancing Membership Inference Attacks on Diffusion Models from a Frequency-Domain Perspective
Puwei Lian, Yujun Cai, Songze Li +1
Diffusion models have achieved tremendous success in image generation, but they also raise significant concerns regarding privacy and copyright issues. Membership Inference Attacks…
Hidden Ads: Behavior Triggered Semantic Backdoors for Advertisement Injection in Vision Language Models
Duanyi Yao, Changyue Li, Zhicong Huang +2
Vision-Language Models (VLMs) are increasingly deployed in consumer applications where users seek recommendations about products, dining, and services. We introduce Hidden Ads, a n…
Noise as a Probe: Membership Inference Attacks on Diffusion Models Leveraging Initial Noise
Puwei Lian, Yujun Cai, Songze Li +1
Diffusion models have achieved remarkable progress in image generation, but their increasing deployment raises serious concerns about privacy and copyright. In particular, fine-tun…
Bi-Erasing: A Bidirectional Framework for Concept Removal in Diffusion Models
Hao Chen, Yiwei Wang, Songze Li
Concept erasure, which fine-tunes diffusion models to remove undesired or harmful visual concepts, has become a mainstream approach to mitigating unsafe or illegal image generation…
Visual CoT Makes VLMs Smarter but More Fragile
Chunxue Xu, Yiwei Wang, Yujun Cai +2
Chain-of-Thought (CoT) techniques have significantly enhanced reasoning in Vision-Language Models (VLMs). Extending this paradigm, Visual CoT integrates explicit visual edits, such…
How does Watermarking Affect Visual Language Models in Document Understanding?
Chunxue Xu, Yiwei Wang, Bryan Hooi +2
Visual Language Models (VLMs) have become foundational models for document understanding tasks, widely used in the processing of complex multimodal documents across domains such as…