14 citations · 30 across the 8 of their papers we have counts for
9 papers
Audio Pirates: Black-box Audio Watermark Removal via Diffusion Priors
Lingfeng Yao, Xincong Zhong, Chenpei Huang +6
With the rise of AI-generated audio, watermarking has become widely used for detecting misuse and protecting intellectual property. However, adversaries may try to remove these wat…
Deep Learning-based Text-in-Image Watermarking
Bishwa Karki, Chun-Hua Tsai, Pei-Chi Huang +1
In this work, we introduce a novel deep learning-based approach to text-in-image watermarking, a method that embeds and extracts textual information within images to enhance data s…
Imperceptible Adversarial Attack on Deep Neural Networks from Image Boundary
Fahad Alrasheedi, Xin Zhong
Although Deep Neural Networks (DNNs), such as the convolutional neural networks (CNN) and Vision Transformers (ViTs), have been successfully applied in the field of computer vision…
A Brief Yet In-Depth Survey of Deep Learning-Based Image Watermarking
Xin Zhong, Arjon Das, Fahad Alrasheedi +1
This paper presents a comprehensive survey on deep learning-based image watermarking, a technique that entails the invisible embedding and extraction of watermarks within a cover i…
Padding Module: Learning the Padding in Deep Neural Networks
Fahad Alrasheedi, Xin Zhong, Pei-Chi Huang
During the last decades, many studies have been dedicated to improving the performance of neural networks, for example, the network architectures, initialization, and activation. H…
A Deep Learning-based Audio-in-Image Watermarking Scheme
Arjon Das, Xin Zhong
This paper presents a deep learning-based audio-in-image watermarking scheme. Audio-in-image watermarking is the process of covertly embedding and extracting audio watermarks on a…
FOD-A: A Dataset for Foreign Object Debris in Airports
Travis Munyer, Pei-Chi Huang, Chenyu Huang +1
Foreign Object Debris (FOD) detection has attracted increased attention in the area of machine learning and computer vision. However, a robust and publicly available image dataset…
DLWIoT: Deep Learning-based Watermarking for Authorized IoT Onboarding
Spyridon Mastorakis, Xin Zhong, Pei-Chi Huang +1
The onboarding of IoT devices by authorized users constitutes both a challenge and a necessity in a world, where the number of IoT devices and the tampering attacks against them co…
An Automated and Robust Image Watermarking Scheme Based on Deep Neural Networks
Xin Zhong, Pei-Chi Huang, Spyridon Mastorakis +1
Digital image watermarking is the process of embedding and extracting a watermark covertly on a cover-image. To dynamically adapt image watermarking algorithms, deep learning-based…