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Zehua Ma

11 accepted papers

2026

AuthSig: Safeguarding Scanned Signatures Against Unauthorized Reuse in Paperless Workflows

AAAI 2026technical

With the deepening trend of paperless workflows, signatures as a means of identity authentication are gradually shifting from traditional ink-on-paper to electronic formats. Despite the availability of dynamic pressure-sensitive and PKI-based digital signatures, static scanned signatures remain prev

Cited by 0SourcePDFScholar
2026

FreeText: Training-Free Text Rendering via Attention Localization and Spectral Glyph Injection

ICML 2026poster

Large-scale text-to-image (T2I) diffusion models excel at open-domain synthesis but still struggle with precise text rendering, especially for multi-line layouts, dense typography, and long-tailed scripts such as Chinese. Prior solutions typically necessitate costly retraining or impose rigid extern…

Cited by 0SourceScholar
2026

LAMIC: Layout-Aware Multi-Image Composition via Scalability of Multimodal Diffusion Transformer

AAAI 2026technical

In controllable image synthesis, generating coherent and consistent images from multiple references with spatial layout awareness remains an open challenge. We propose LAMIC, a Layout-Aware Multi-Image Composition framework that, for the first time, extends single-reference diffusion models to multi

Cited by 0SourcePDFScholar
2025

RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios

AAAI 2025technical

Screen-shooting robust watermarking is an effective means of preventing screen content leakage from unauthorized camera shooting, as it can trace the leaked source through the watermark extraction thereby providing an effective deterrent. However, current screen-shooting resilient watermarking schem…

Cited by 0SourcePDFScholar
2025

SynTag: Enhancing the Geometric Robustness of Inversion-based Generative Image Watermarking

ICCV 2025poster

Robustness is significant for generative image watermarking, typically achieved by injecting distortion-invariant watermark features. The leading paradigm, i.e., inversion-based framework, excels against non-geometric distortions but struggles with geometric ones. To address this, we propose SynTag,…

Cited by 0SourcePDFScholar
2025

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

ICCV 2025poster

AI-generated content (AIGC) enables efficient visual creation but raises copyright and authenticity risks. As a common technique for integrity verification and source tracing, digital image watermarking is regarded as a potential solution to above issues. However, the widespread adoption and advanci…

Cited by 0SourcePDFScholar
2024

MuST: Robust Image Watermarking for Multi-Source Tracing

AAAI 2024technical

In recent years, with the popularity of social media applications, massive digital images are available online, which brings great convenience to image recreation. However, the use of unauthorized image materials in multi-source composite images is still inadequately regulated, which may cause signi…

2023

AutoStegaFont: Synthesizing Vector Fonts for Hiding Information in Documents

AAAI 2023technical

Hiding information in text documents has been a hot topic recently, with the most typical schemes of utilizing fonts. By constructing several fonts with similar appearances, information can be effectively represented and embedded in documents. However, due to the unstructured characteristic, font ve…

Cited by 3SourcePDFScholar
2023

DeAR: A Deep-Learning-Based Audio Re-recording Resilient Watermarking

AAAI 2023technical

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 technology, audio re-recording (AR) has become an efficient and covert means to steal secrets. AR process could drastically dest…

Cited by 43SourcePDFScholar
2022

Tracing Text Provenance via Context-Aware Lexical Substitution

AAAI 2022technical

Text content created by humans or language models is often stolen or misused by adversaries. Tracing text provenance can help claim the ownership of text content or identify the malicious users who distribute misleading content like machine-generated fake news. There have been some attempts to achie…

Cited by 70SourcePDFScholar
2020

Robust Superpixel-Guided Attentional Adversarial Attack

CVPR 2020poster

Deep Neural Networks are vulnerable to adversarial samples, which can fool classifiers by adding small perturbations onto the original image. Since the pioneering optimization-based adversarial attack method, many following methods have been proposed in the past several years. However most of these…

Cited by 81PDFScholar