mID: Tracing Screen Photos via Moiré Patterns
Yushi Cheng, Xiaoyu Ji, Lixu Wang, Qi Pang, Yi-Chao Chen, Wenyuan Xu
摘要
Cyber-theft of trade secrets has become a serious business threat. Digital watermarking is a popular technique to assist in identifying the source of the file leakage, whereby a unique watermark for each insider is hidden in sensitive files. However, malicious insiders may use their smartphones to photograph the secret file displayed on screens to remove the embedded hidden digital watermarks due to the optical noises introduced during photographing. To identify the leakage source despite such screen-photo-based leakage attacks, we leverage Moiré pattern, an optical phenomenon resulted from the optical interaction between electronic screens and cameras. As such, we present mID, a new watermark-like technique that can create a carefully crafted Moiré pattern on the photo when it is taken towards the screen. We design patterns that appear to be natural yet can be linked to the identity of the leaker. We implemented mID and evaluate it with 5 display devices and 6 smartphones from various manufacturers and models. The results demonstrate that mID can achieve an average bit error rate (BER) of 0.6% and can successfully identify an ID with an average accuracy of 96%, with little influence from the type of display devices, cameras, IDs, and ambient lights.
问问这篇 Paper
智能体会读完全文。
Lune 把这篇 Paper 索引到了每一个公式,引用它的顶会 Paper 也一样。你提问,回答直接引用原文。
引用它的顶会 Paper4
- Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at HandJunfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia 等NeurIPS 2023 · 被引用 93 次
- Non-Transferable Learning: A New Approach for Model Ownership Verification and Applicability AuthorizationLixu Wang, Shichao Xu, Ruiqi Xu, Xiao Wang 等ICLR 2022 · 被引用 65 次
- Chimera: Creating Digitally Signed Fake Photos by Fooling Image Recapture and Deepfake DetectorsSeongbin Park, Alexander Vilesov, Jinghuai Zhang, Hossein Khalili 等USENIX Security 2025
- Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable LearningZiming Hong, Li Shen, Tongliang LiuCVPR 2024
相关 Paper
- PIMoG: An Effective Screen-shooting Noise-Layer Simulation for Deep-Learning-Based Watermarking NetworkHan Fang, Zhaoyang Jia, Zehua Ma, Ee-Chien Chang 等ACM MM 2022 · 被引用 127 次
- Effectively Learning Moiré QR Code Decryption from Simulated DataYu Lu, Hao Pan, Feitong Tan, Yi-Chao Chen 等INFOCOM 2023 · 被引用 3 次
- Morié Attack (MA): A New Potential Risk of Screen PhotosDantong Niu, Ruohao Guo, Yisen WangNeurIPS 2021 · 被引用 14 次
- ScreenID: Enhancing QRCode Security by Fingerprinting ScreensYijie Li, Yi-Chao Chen, Xiaoyu Ji, Hao Pan 等INFOCOM 2021 · 被引用 7 次
- Real-Time Image Demoiréing on Mobile DevicesYuxin Zhang, Mingbao Lin, Xunchao Li, Han Liu 等ICLR 2023
