activity
20142024
most citedDual Learning for Machine Translation

597 citations · 770 across the 25 of their papers we have counts for

collaborators

23 papers

cs.DB2024

SPSW: Database Watermarking Based on Fake Tuples and Sparse Priority Strategy

Zhiwen Ren, Zehua Ma, Weiming Zhang +1

Databases play a crucial role in storing and managing vast amounts of data in various organizations and industries. Yet the risk of database leakage poses a significant threat to d…

cs.CV20241 cited

Gaussian Shading: Provable Performance-Lossless Image Watermarking for Diffusion Models

Zijin Yang, Kai Zeng, Kejiang Chen +3

Ethical concerns surrounding copyright protection and inappropriate content generation pose challenges for the practical implementation of diffusion models. One effective solution…

cs.CV2024

Transformer based Pluralistic Image Completion with Reduced Information Loss

Qiankun Liu, Yuqi Jiang, Zhentao Tan +5

Transformer based methods have achieved great success in image inpainting recently. However, we find that these solutions regard each pixel as a token, thus suffering from an infor…

cs.CR2023

Segue: Side-information Guided Generative Unlearnable Examples for Facial Privacy Protection in Real World

Zhiling Zhang, Jie Zhang, Kui Zhang +3

The widespread use of face recognition technology has given rise to privacy concerns, as many individuals are worried about the collection and utilization of their facial data. To…

cs.CV20231 cited

HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending

Tianyi Wei, Dongdong Chen, Wenbo Zhou +4

Hair editing has made tremendous progress in recent years. Early hair editing methods use well-drawn sketches or masks to specify the editing conditions. Even though they can enabl…

cs.CR20233 cited

Catch You Everything Everywhere: Guarding Textual Inversion via Concept Watermarking

Weitao Feng, Jiyan He, Jie Zhang +4

AIGC (AI-Generated Content) has achieved tremendous success in many applications such as text-to-image tasks, where the model can generate high-quality images with diverse prompts,…