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20232026
most citedThe Earth is Flat because...: Investigating LLMs' Belief towards Misinformation via Persuasive Conversation

3 citations · 7 across the 20 of their papers we have counts for

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cs.CV2026

SafeRedir: Prompt Embedding Redirection for Robust Unlearning in Image Generation Models

Renyang Liu, Kangjie Chen, Han Qiu +4

Image generation models (IGMs), while capable of producing impressive and creative content, often memorize a wide range of undesirable concepts from their training data, leading to…

cs.CV2025

Visible Yet Unreadable: A Systematic Blind Spot of Vision Language Models Across Writing Systems

Jie Zhang, Ting Xu, Gelei Deng +5

Writing is a universal cultural technology that reuses vision for symbolic communication. Humans display striking resilience: we readily recognize words even when characters are fr…

cs.CV2025

Mask Image Watermarking

Runyi Hu, Jie Zhang, Shiqian Zhao +5

We present MaskWM, a simple, efficient, and flexible framework for image watermarking. MaskWM has two variants: (1) MaskWM-D, which supports global watermark embedding, watermark l…

cs.CV2025

FaceID-6M: A Large-Scale, Open-Source FaceID Customization Dataset

Shuhe Wang, Xiaoya Li, Jiwei Li +8

Due to the data-driven nature of current face identity (FaceID) customization methods, all state-of-the-art models rely on large-scale datasets containing millions of high-quality…

cs.CV2025★ 1 cited

VideoShield: Regulating Diffusion-based Video Generation Models via Watermarking

Runyi Hu, Jie Zhang, Yiming Li +4

Artificial Intelligence Generated Content (AIGC) has advanced significantly, particularly with the development of video generation models such as text-to-video (T2V) models and ima…

cs.CV2024

SuperMark: Robust and Training-free Image Watermarking via Diffusion-based Super-Resolution

Runyi Hu, Jie Zhang, Yiming Li +4

In today's digital landscape, the blending of AI-generated and authentic content has underscored the need for copyright protection and content authentication. Watermarking has beco…

cs.CV2023★ 3 cited

Warfare:Breaking the Watermark Protection of AI-Generated Content

Guanlin Li, Yifei Chen, Jie Zhang +5

AI-Generated Content (AIGC) is rapidly expanding, with services using advanced generative models to create realistic images and fluent text. Regulating such content is crucial to p…