IH&MMSEC

A variety of nearly invisible "micro-signals" have played important roles in media security and forensics. These noise-like micro-signals are ubiquitous and typically an order of magnitude lower in strength or scale than the dominant ones. They are ...

Information plays a key role in many games, and game theory includes reasoning about how agents should perceive signals, and how they should strategically decide what signals to send. This can involve complex tradeoffs about how revealing certain ...

With the growing attention on multimedia security and rapid development of natural language processing technologies, various linguistic steganographic algorithms based on automatic text generation technology have been proposed increasingly, which brings ...

Digital audio, as well as image, is one of the most popular media for information hiding. However, even the state-of-the-art deep learning model still has a limitation for detecting basic LSB steganography algorithms that hide secret messages in time ...

The architectures of convolutional neural networks used in steganalysis have been designed heuristically. In this paper, an automatic Network Architecture Generation algorithm based on reinforcement learning for JPEG image Steganalysis (JS-NAG) has been ...

Since convolutional neural networks have shown remarkable performance on various computer vision tasks, many network architectures for image steganalysis have been introduced. Many of them use fixed preprocessing filters for stable learning, which have ...

After 2015, CNN-based steganalysis approaches have started replacing the two-step machine-learning-based steganalysis approaches (feature extraction and classification), mainly due to the fact that they offer better performance.

In many instances, the ...

As the most common personal devices, smartphones contain the user's private information. While people use mobile devices anytime and anywhere, the sensitive contents might be leaked from the screens. The smartphone notifications cause such privacy ...

Although adversarial sampling is a trendy topic in computer vision, very few works consider the integral constraint: The result of the attack is a digital image whose pixel values are integers. This is not an issue at first sight since applying a ...

Anti-theft problem has been challenging since it mainly depends on the existence of external devices to defend from thefts. Recently, driver behavior analysis using supervised learning has been investigated with the goal to detect burglary by ...

In order to defend neural networks against malicious attacks, recent approaches propose the use of secret keys in the training or inference pipelines of learning systems. While this concept is innovative and the results are promising in terms of attack ...

The key agreement problem with biometric or physical identifiers and two terminals for key enrollment and reconstruction is considered. A nested convolutional code construction that performs lossy compression with side information is proposed. Nested ...

A morphed face image injected into an identity document destroys the unique link between a person and a document meaning that such a multi-identity document may be successfully used by several persons for face-recognition-based identity verification. A ...

The ability of artificial intelligence techniques to build synthesized brand new videos or to alter the facial expression of already existing ones has been efficiently demonstrated in the literature. The identification of such new threat generally known ...

Many aspects of JPEG compression have been successfully used in the domain of photo forensics. Adding to this literature, we describe a JPEG artifact that can arise depending upon seemingly innocuous implementation details in a JPEG encoder. We describe ...

Industrial Control Systems (ICS) help to automate various cyber-physical systems in our world. The controlled processes range from rather simple traffic lights and elevators to complex networks of ICS in car manufacturing or controlling nuclear power ...

Researchers who wish to benchmark the detectability of steganographic distortion functions typically simulate stego objects. However, the difference (coding loss) between simulated stego objects, and real stego objects is significant, and dependent on ...

The social networks transcode uploaded videos in a lossy way, which makes most video steganographic methods become unusable. In this paper, a robust video steganographic method is proposed to resist video transcoding on social networking sites. The ...

This paper proposes to use the statistical analysis of the correlation between DCT coefficients to design a new synchronization strategy that can be used for cost-based steganographic schemes in the JPEG domain. First, an analysis is performed on the ...

Abstract Most modern steganographic schemes embed secrets by minimizing the total expected cost of modifications. However, costs are usually computed using heuristics and cannot be directly linked to statistical detectability. Moreover, as previously ...

This short paper presents a novel method for steganography in JPEG-compressed images, extended the so-called MiPOD scheme based on minimizing the detection accuracy of the most-powerful test using a Gaussian model of independent DCT coefficients. This ...