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20182026
most citedLocal Geometric Distortions Resilient Watermarking Scheme Based on Symmetry

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

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11 papers · 1 filter

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…