IH&MMSEC

The possibility of an altered photo revising history in a convincing way highlights a salient threat of imaging technology. Afterall, seeing is believing. Or is it? The examples history has preserved make it clear that the observer is more often than ...

Steganography is an ancient communication technique that hides a message inside a common object so that the message escapes scrutiny - today, we use digital files like photos and videos to hide and pass messages. Code to execute the message hiding ...

With the abundance of imagery data captured in our daily life, there is an increasing amount of diverse manipulations being applied to imagery, including generative model based image generation and manipulation, adversarial attacks, classic image ...

In recent decades, many perceptual image hashing schemes for content authentication have been proposed. However, existing algorithms cannot provide satisfactory robustness and discrimination in the face of complex manipulations in real scenarios. In ...

In this paper, we propose an end-to-end perceptual robust hashing scheme for video copy detection based on unsupervised learning. Firstly, the spatio-temporal information in videos is effectively fused and condensed into high-dimensional features ...

Video frame interpolation is a challenging task in the video processing field. Benefiting from the development of deep learning, many video frame interpolation methods have been proposed, which focus on sampling pixels with useful information to ...

This paper introduces a novel compatibility attack to detect a steganographic message embedded in the DCT domain of a JPEG image at high-quality factors (close to 100). Because the JPEG compression is not a surjective function, i.e. not every DCT blocks ...

This paper addresses how to fairly compare ROCs of ad hoc (or data driven) detectors with tests derived from statistical models of digital media. We argue that the ways ROCs are typically drawn for each detector type correspond to different hypothesis ...

JPEG images stored in progressive mode have become more prevalent recently. An estimated 30% of all JPEG images on the most popular websites use progressive mode. Presumably, this surge is caused by the adoption of MozJPEG, an open-source library ...

The Reverse JPEG Compatibility Attack can be used for steganalysis of JPEG images compressed with Quality Factor 100 by detecting increased variance of decompression rounding errors. In this work, we point out the dangers associated with this attack by ...

The JPEG compatibility attack is a steganalysis method for detecting messages embedded in the spatial representation of an image under the assumption that the cover image was a decompressed JPEG. This paper addresses a number of open problems in ...

While deep learning has revolutionized image steganalysis in terms of performance, little is known about how much modern data driven detectors can still be improved. In this paper, we approach this difficult and currently wide open question by working ...

Recent research has shown that neural network models can be used to steal sensitive data or embed malware. Therefore, steganalysis for neural networks is urgently needed. However, existing neural network steganalysis methods do not perform well under ...

Text steganography is becoming increasingly secure by eliminating the distribution discrepancy between normal and stego text. On the other hand, the existing cross-entropy-based steganalysis models struggle to distinguish subtle distribution differences ...

Database watermarking is typically employed to address the issues of data theft, illegal replication, and copyright infringement that may arise during the sharing of databases. Unfortunately, the existing methods often cause permanent distortion to the ...

Zero-knowledge protocols for digital watermarking allow a copyright holder to prove that a signal is hidden in a cover without revealing the signal or where it is. This same approach can be applied outside of watermarking to other problems where ...

Recently, there is a growing interest to employ biometrics in post-mortem forensics, mainly to replace cost intensive radiology based imaging devices. While it has been shown that post-mortem biometric recognition is feasible for fingerprints, face and ...

Over the last decade, the use of Automatic Speaker Verification (ASV) systems has become increasingly widespread in response to the growing need for secure and efficient identity verification methods. The voice data encompasses a wealth of personal ...

I2I translation techniques for unpaired data are used for the creation of biometric presentation attack artefact samples. For the assessment of these synthetic samples, we analyse their behaviour when attacking hand vein recognition systems, comparing ...

A UNet-type encoder-decoder inpainting network is applied to weaken the protection strength of selectively encrypted face samples. Based on visual assessment, FaceQNet quality, and ArcFace recognition accuracy the strategy is shown to be successful, ...

We present a first of its kind dataset of overhead imagery for development and evaluation of forensic tools. Our dataset consists of real, fully synthetic and partially manipulated overhead imagery generated from a custom diffusion model trained on two ...

With remarkable progress achieved by facial forgery technologies, their potential security risks cause serious concern to society since they can easily fool face recognition systems and even human beings. Current forgery detection methods have achieved ...

The malicious use of synthetic speech has increased with the recent availability of speech generation tools. It is important to determine whether a speech signal is authentic (spoken by a human) or is synthesized and to determine the generation method ...

Many speech signals are compressed with MP3 to reduce the data rate. In many synthetic speech detection methods the spectrogram of the speech signal is used. This usually requires the speech signal to be fully decompressed. We show that the design of ...

This paper proposes a dual-channel network for DeepFake detection. The network comprises two channels: one using a stacked Maxvit block to process the downsampled original images, and the other using a stacked ResNet basic block to capture features from ...

Due to the rising threat of deepfakes to security and privacy, it is most important to develop robust and reliable detectors. In this paper, we examine the need for high-quality samples in the training datasets of such detectors. Accordingly, we show ...