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Recently, there has been a surge in machine-generated natural language content being misused by unauthorized parties. Watermarking is a well-recognized technique to address the issue by tracing the provenance of the text. However, we found that most ...

AI-generated video has revolutionized short video production, filmmaking, and personalized media, making video local editing an essential tool. However, this progress also blurs the line between reality and fiction, posing challenges in multimedia ...

Manipulated media is becoming a prominent threat due to the recent advances in realistic image and video synthesis techniques. There have been several attempts at detecting synthetically tampered media using machine learning classifiers. However, such ...

Large Language Models (LLMs) have revolutionized the field of Natural Language Generation (NLG) by demonstrating an impressive ability to generate human-like text. However, their widespread usage introduces challenges that necessitate thoughtful ...

If the extraction of sensor fingerprints represents nowadays an important forensic tool for sensor attribution, it has been shown recently in [2,3,12] that images coming from several sensors were more prone to generate False Positives (FP) by presenting ...

Paper-based digital microfluidic biochip (PB-DMFB) technology provides a promising solution to many biochemical applications. However, the PB-DMFB manufacturing process may suffer from potential security threats. For example, a Trojan insertion attack may ...

Video steganography aims to hide the presence of a communication from a hostile third party. One of the techniques recommended in this study is the hash-based least significant bit method for video steganography. The study conducts an in-depth analysis ...

A generative AI model can generate extremely realistic-looking content, posing growing challenges to the authenticity of information. To address the challenges, watermark has been leveraged to detect AI-generated content. Specifically, a watermark is ...

Since the significant advancements and open-source support of latent diffusion models (LDMs) in the field of image generation, numerous researchers and enterprises start fine-tuning the pre-trained models to generate specialized images for different ...

Recently, print-resist watermarking has attracted much interest. Many watermarking schemes have been proposed to achieve robustness against printing and camera-capturing. Though these studies have shown promising results overall, they overlook the ...

Cross-channel (e.g. Screen-to-Camera) robustness is an urgent requirement for modern watermarking systems. To realize such robustness, training a network that can precisely simulate the cross-channel distortion as the noise layer for deep watermarking ...

In today's digital world, enterprises and individuals are generating massive data that is potentially useful for many data consumers with data driven applications. The emergence of data marketplaces is a step toward helping the data owners to monetize ...

The success of deep learning in many application domains has been nothing short of dramatic. This has brought the spotlight onto security and privacy concerns with machine learning (ML). One such concern is the threat of model theft. I will discuss work ...

Watermarking is used as proof of ownership for various data types such as images, videos, software, machine learning models, and databases. Datasets are crucial for data driven decision making using Machine Learning for tasks like prediction, ...

Hybrid paper interfaces leverage augmented reality (AR) to combine the desired tangibility of paper documents with the affordances of interactive digital media. Typically, the instructions for how the virtual content should be generated are not an ...

This paper proposes a novel image watermarking model, which combines discrete wavelet transform (DWT), Hessenberg decomposition (HD), singular value decomposition (SVD)-based deep convolutional neural networks (D-CNN) technique to explore the subjective ...

This paper presents three novel methods for hiding and extracting a watermark. The strategy of the first method is to project pixels into a new image. The key is a combination of the rotation and distance related to the viewer. The new pixel positions ...

Watermarking can be used for security as no one carries files or documents around anymore. Digital watermarking is the technique of embedding information in available digital content used for authentication. In some watermarking schemes, there are cases ...

Biometric authentication data is becoming a crucial challenge to ensure copyright protection of digital images. A person's biometric data is very sensitive; if exposed, it can pose a threat to a person's identity and system security. Due to advances in ...

Macrophotography Images (MPIs) have recently emerged as an active topic due to the development of mobile phone camera technology. A large number of MPIs have been rapidly increasing in many rich visual services, such as smartphones or high‐...