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20242026
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cs.CV2026

Privacy Protection Against Personalized Text-to-Image Synthesis via Cross-image Consistency Constraints

Guanyu Wang, Kailong Wang, Yihao Huang +3

The rapid advancement of diffusion models and personalization techniques has made it possible to recreate individual portraits from just a few publicly available images. While such…

cs.CV2026

Verify Claimed Text-to-Image Models via Boundary-Aware Prompt Optimization

Zidong Zhao, Yihao Huang, Qing Guo +5

As Text-to-Image (T2I) generation becomes widespread, third-party platforms increasingly integrate multiple model APIs for convenient image creation. However, false claims of using…

cs.CV2025

Beyond Pixels: Semantic-aware Typographic Attack for Geo-Privacy Protection

Jiayi Zhu, Yihao Huang, Yue Cao +5

Large Visual Language Models (LVLMs) now pose a serious yet overlooked privacy threat, as they can infer a social media user's geolocation directly from shared images, leading to u…

cs.CV2025

Seeing It Before It Happens: In-Generation NSFW Detection for Diffusion-Based Text-to-Image Models

Fan Yang, Yihao Huang, Jiayi Zhu +4

Diffusion-based text-to-image (T2I) models enable high-quality image generation but also pose significant risks of misuse, particularly in producing not-safe-for-work (NSFW) conten…

cs.CV2025

Concept Guided Co-salient Object Detection

Jiayi Zhu, Qing Guo, Felix Juefei-Xu +3

Co-salient object detection (Co-SOD) aims to identify common salient objects across a group of related images. While recent methods have made notable progress, they typically rely…

cs.CV2025

Scale-Invariant Adversarial Attack against Arbitrary-scale Super-resolution

Yihao Huang, Xin Luo, Qing Guo +5

The advent of local continuous image function (LIIF) has garnered significant attention for arbitrary-scale super-resolution (SR) techniques. However, while the vulnerabilities of…