activity
20182026
most citedLocal Geometric Distortions Resilient Watermarking Scheme Based on Symmetry

85 citations · 140 across the 24 of their papers we have counts for

collaborators

27 papers

cs.CR2026

ProxyEraseAgent: Blind Watermark Removal in the Wild

Jun Yao, Chao Wang, Yupeng Qiu +4

Invisible image watermark removal has received growing attention. Despite substantial progress, existing attacks face a tension between practicality and specificity. Attacks exploi…

cs.CR2026

LoRo-Mark:Provably Lossless and Robust Agent Watermarking

Haoyang Zou, Yao Wang, Jun Yao +2

As LLM agents are increasingly deployed as commercial services, protecting proprietary orchestration logic and tool-use policies is important. We consider agent repackaging: an adv…

cs.CR2026

Screen-Conditioned Watermarking Against Multi-Screen Collusion Attacks

Mingyue Chen, Xin Liao, Yufeng Wu +2

Screen-shooting poses a significant threat to confidential information protection. While existing screen-shooting watermarking methods enable copyright verification, the copyrighte…

cs.CR2026

FARI: Robust One-Step Inversion for Watermarking in Diffusion Models

Jindong Yang, Han Fang, Weiming Zhang +2

Inversion-based watermarking is a promising approach to authenticate diffusion-generated images, yet practical use is bottlenecked by inversion that is both slow and error-prone. W…

cs.AI2026

Provably Secure Agent Guardrail

Benlong Wu, Weiming Zhang, Kejiang Chen +2

As large language models transition from bounded generative engines to agents with expansive execution privileges, AI going out of control precipitates a fundamental crisis in arti…

cs.CV2026

Flow of Truth: Proactive Temporal Forensics for Image-to-Video Generation

Yuzhuo Chen, Zehua Ma, Han Fang +3

The rapid rise of image-to-video (I2V) generation enables realistic videos to be created from a single image but also brings new forensic demands. Unlike static images, I2V content…

cs.CV2026

ACPO: Anchor-Constrained Perceptual Optimization for Diffusion Models with No-Reference Quality Guidance

Yang Yang, Feifan Meng, Han Fang +1

Diffusion models have achieved remarkable success in image generation, yet their training is predominantly driven by full-reference objectives that enforce pixel-wise similarity to…

cs.LG2026

Quantum-Inspired Fine-Tuning for Few-Shot AIGC Detection via Phase-Structured Reparameterization

Kaiyang Xing, Han Fang, Zhaoyun Chen +4

Recent studies show that quantum neural networks (QNNs) generalize well in few-shot regimes. To extend this advantage to large-scale tasks, we propose Q-LoRA, a quantum-enhanced fi…

cs.CV2026

SKeDA: A Generative Watermarking Framework for Text-to-video Diffusion Models

Yang Yang, Xinze Zou, Zehua Ma +2

The rise of text-to-video generation models has raised growing concerns over content authenticity, copyright protection, and malicious misuse. Watermarking serves as an effective m…

quant-ph2026

Q-Tag: Watermarking Quantum Circuit Generative Models

Yang Yang, Yuzhu Long, Han Fang +4

Quantum cloud platforms have become the most widely adopted and mainstream approach for accessing quantum computing resources, due to the scarcity and operational complexity of qua…

cs.CV2026

Allocentric Perceiver: Disentangling Allocentric Reasoning from Egocentric Visual Priors via Frame Instantiation

Hengyi Wang, Ruiqiang Zhang, Chang Liu +4

With the rising need for spatially grounded tasks such as Vision-Language Navigation/Action, allocentric perception capabilities in Vision-Language Models (VLMs) are receiving grow…

cs.CV2025

T2SMark: Balancing Robustness and Diversity in Noise-as-Watermark for Diffusion Models

Jindong Yang, Han Fang, Weiming Zhang +2

Diffusion models have advanced rapidly in recent years, producing high-fidelity images while raising concerns about intellectual property protection and the misuse of generative AI…

cs.CV2025

LoT-Pass: Long-term-robust Image Watermarking for Image to Video Generation

Guanjie Wang, Zehua Ma, Han Fang +1

The rapid progress of image-guided video generation (I2V) has raised concerns about its potential misuse in misinformation and fraud, underscoring the urgent need for effective dig…

cs.MM2025

TAG-WM: Tamper-Aware Generative Image Watermarking via Diffusion Inversion Sensitivity

Yuzhuo Chen, Zehua Ma, Han Fang +2

AI-generated content (AIGC) enables efficient visual creation but raises copyright and authenticity risks. As a common technique for integrity verification and source tracing, digi…

cs.CV2025★ 2 cited

Gaussian Shading++: Rethinking the Realistic Deployment Challenge of Performance-Lossless Image Watermark for Diffusion Models

Zijin Yang, Xin Zhang, Kejiang Chen +5

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

cs.CV2024

FAMSeC: A Few-shot-sample-based General AI-generated Image Detection Method

Juncong Xu, Yang Yang, Han Fang +2

The explosive growth of generative AI has saturated the internet with AI-generated images, raising security concerns and increasing the need for reliable detection methods. The pri…

cs.CV2024★ 1 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.CV2023

Improving Adversarial Transferability by Stable Diffusion

Jiayang Liu, Siyu Zhu, Siyuan Liang +4

Deep neural networks (DNNs) are susceptible to adversarial examples, which introduce imperceptible perturbations to benign samples, deceiving DNN predictions. While some attack met…

cs.CL2023★ 12 cited

Watermarking Text Generated by Black-Box Language Models

Xi Yang, Kejiang Chen, Weiming Zhang +5

LLMs now exhibit human-like skills in various fields, leading to worries about misuse. Thus, detecting generated text is crucial. However, passive detection methods are stuck in do…

cs.MM2023★ 6 cited

OAcode: Overall Aesthetic 2D Barcode on Screen

Zehua Ma, Xi Yang, Han Fang +2

Nowadays, two-dimensional (2D) barcodes have been widely used in various domains. And a series of aesthetic 2D barcode schemes have been proposed to improve the visual quality and…

cs.SD2022★ 2 cited

DeAR: A Deep-learning-based Audio Re-recording Resilient Watermarking

Chang Liu, Jie Zhang, Han Fang +3

Audio watermarking is widely used for leaking source tracing. The robustness of the watermark determines the traceability of the algorithm. With the development of digital technolo…

cs.SD2021★ 8 cited

Speech Pattern based Black-box Model Watermarking for Automatic Speech Recognition

Haozhe Chen, Weiming Zhang, Kunlin Liu +3

As an effective method for intellectual property (IP) protection, model watermarking technology has been applied on a wide variety of deep neural networks (DNN), including speech c…

cs.GR2021

Deep 3D Mesh Watermarking with Self-Adaptive Robustness

Feng Wang, Hang Zhou, Han Fang +4

Robust 3D mesh watermarking is a traditional research topic in computer graphics, which provides an efficient solution to the copyright protection for 3D meshes. Traditionally, res…

cs.CR2021★ 4 cited

Exploring Structure Consistency for Deep Model Watermarking

Jie Zhang, Dongdong Chen, Jing Liao +5

The intellectual property (IP) of Deep neural networks (DNNs) can be easily ``stolen'' by surrogate model attack. There has been significant progress in solutions to protect the IP…