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20182023
most citedE2Style: Improve the Efficiency and Effectiveness of StyleGAN Inversion

66 citations · 231 across the 31 of their papers we have counts for

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Showing cs.CRShow all

5 papers · 1 filter

cs.CR2023★ 3 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,…

cs.CR2023

ICStega: Image Captioning-based Semantically Controllable Linguistic Steganography

Xilong Wang, Yaofei Wang, Kejiang Chen +3

Nowadays, social media has become the preferred communication platform for web users but brought security threats. Linguistic steganography hides secret data into text and sends it…

cs.CR2022

Cover Reproducible Steganography via Deep Generative Models

Kejiang Chen, Hang Zhou, Yaofei Wang +3

Whereas cryptography easily arouses attacks by means of encrypting a secret message into a suspicious form, steganography is advantageous for its resilience to attacks by concealin…

cs.CR2022★ 1 cited

Go Wide or Go Deep: Levering Watermarking Performance with Computational Cost for Specific Images

Zhaoyang Jia, Han Fang, Zehua Ma +1

Digital watermarking has been widely studied for the protection of intellectual property. Traditional watermarking schemes often design in a "wider" rule, which applies one general…

cs.CR2021★ 6 cited

A Brief Survey on Deep Learning Based Data Hiding

Chaoning Zhang, Chenguo Lin, Philipp Benz +3

Data hiding is the art of concealing messages with limited perceptual changes. Recently, deep learning has enriched it from various perspectives with significant progress. In this…