Steganography is an information hiding technique for covert communication. So far Syndrome-Trellis Codes (STC), a convolutional codes-based method, the only near-optimal coding i.e., it can approach rate-distortion bound of content-adaptive steganography in practice. However, as secure communication application, needs diversity methods. This paper proposes another and better steganographic method based on polar codes, using Successive Cancellation List (SCL) decoding algorithm to minimize...

Traditional image steganography conceals secret messages in unprocessed natural images by modifying the pixel value, causing obtained stego to be different from original terms of statistical distribution; thereby, it can detected a well-trained classifier for steganalysis. To ensure is imperceptible and line with trend art produced Artificial-Intelligence-Generated Content (AIGC) becoming popular on social networks, this paper proposes embed hidden information throughout process generation...

Video watermarking based on frequency domain is proved to have good invisibility and robustness. However, most of the existing video schemes embed watermarks in subblock segmentation, while ignoring variation relationship between space features. Therefore, it difficult achieve robust authentication complex application scenarios. In this paper, a ring subband constructed DT-CWT as watermark embedding region by analyzing characteristics under multiple attacks. Subsequently, double embedded...

The rapid advancement of AI-generated content (AIGC) has significantly improved the realism and accessibility synthetic images. While large image generation models offer immense potential in creative industries, they also introduce serious challenges, including copyright infringement, authentication, traceability generated Digital watermarking emerged as a promising approach to address these concerns by embedding imperceptible yet detectable signatures into This survey provides comprehensive...

Mobile Multimedia Broadcasting (MMB) is a new hotspot of wireless application and Cloud computing shared services architecture based method. With the analysis on advantages disadvantages characteristics in traditional service modes MMB, method virtual distributed processing introduced to promote integration MMB industrial chain. The reasonable developing orientation involved several technologies as Computing, SOA, ubiquitous sensing network neural put forward from point view MMB.

Existing methods for Deep Neural Networks (DNN) watermarking either require accessing the internal parameters of DNN models (white-box watermarking), or rely on backdooring to enforce a desired behavior model when is fed with specific set key input images (black-box watermarking). In this letter, we propose black-box multi-bit algorithm, suitable multiclass classification networks, whereby presence watermark can be retrieved from output network in correspondence <italic...

More and more edge devices mobile apps are leveraging deep learning (DL) capabilities. Deploying such models on – referred to as on-device rather than remote cloud-hosted services, has gained popularity because it avoids transmitting user's data off of the device achieves high response time. However, can be easily attacked, they accessed by unpacking corresponding model is fully exposed attackers. Recent studies show that attackers generate white-box-like attacks for an or even inverse its...

Side channel steganalysis refers to detecting a steganographer in social websites via behavior analysis. In this paper, we first design side based on the correlation between image sequences of users, which aims find out behaviorally anomalous steganographer. According experimental results steganalysis, it is intuitively secure for act identically normal users since she can avoid being detected by steganalysis. However, when faced with various detection methods, still behave similar user? To...

Neural networks especially the convolution neural (CNN) have become prevalent and numerous CNN accelerators been developed to achieve higher performance. While clock frequency determines operation speed has direct influence on performance of accelerators, we propose apply overclocking, a circuit optimization approach that enables frequency, general accelerators. This technique brings significant improvement, but it leads moderate timing errors, wrong computing results low prediction...

This paper presents a DNN bottleneck reinforcement scheme to alleviate the vulnerability of Deep Neural Networks (DNN) against adversarial attacks. Typical classifiers encode input image into compressed latent representation more suitable for inference. information makes trade-off between image-specific structure and class-specific in an image. By reinforcing former while maintaining latter, any redundant information, be it or not, should removed from representation. Hence, this proposes...

Deep learning (DL) has recently achieved tremendous success in a variety of cutting-edge applications, e.g., image recognition, speech and natural language processing, autonomous driving. Besides the available big data hardware evolution, DL frameworks platforms play key role to catalyze research, development, deployment intelligent solutions. However, difference computation paradigm, architecture design implementation existing brings challenges for software deployment, maintenance,...

Recently, adversarial attack methods have been developed to challenge the robustness of machine learning models. However, mainstream evaluation criteria experience limitations, even yielding discrepancies among results under different settings. By examining various algorithms, including gradient-based and query-based attacks, we notice lack a consensus on uniform standard for unbiased performance evaluation. Accordingly, propose Piece-wise Sampling Curving (PSC) toolkit effectively address...

<title>Abstract</title> With the rapid development of artificial intelligence technology, more and deep-faked audios have emerged in cyberspace, leading to an urgent need for detecting tracing deep fake audios. Watermarking provides active method audios, especially through multi-bit watermarking technology. Multiple watermarks can provide stronger protection tracking capabilities various scenarios. Especially users upload that incorporate with both personal lyricist composer platform...