D
Denis Volkhonskiy
Researcher at Skolkovo Institute of Science and Technology
Publications - 15
Citations - 445
Denis Volkhonskiy is an academic researcher from Skolkovo Institute of Science and Technology. The author has contributed to research in topics: Steganalysis & Steganography. The author has an hindex of 7, co-authored 14 publications receiving 258 citations.
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Steganographic generative adversarial networks
TL;DR: In this article, a new model for generating image-like containers based on Deep Convolutional Generative Adversarial Networks (DCGAN) is proposed, which allows to generate more setganalysis-secure message embedding using standard steganography algorithms.
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Steganographic Generative Adversarial Networks
TL;DR: A new model for generating image-like containers based on Deep Convolutional Generative Adversarial Networks (DCGAN) is proposed, which allows to generate more setganalysis-secure message embedding using standard steganography algorithms.
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Latent Video Transformer
TL;DR: This work addresses the problem of high computational requirements of generative models for videos via modeling the dynamics in a latent space after the transformation of frames into the latent space, and predicts latent representation for the next frames in an autoregressive manner.
Generative Adversarial Networks for Image Steganography
TL;DR: A new model for generating image-like containers based on Deep Convolutional Generative Adversarial Networks (DCGAN) is proposed, which allows to generate more setganalysis-secure message embedding using standard steganography algorithms.
Posted Content
Inductive Conformal Martingales for Change-Point Detection
TL;DR: This work proposes a new method for change-point detection based on Inductive Conformal Martingales, which requires only the independence and identical distribution of observations, and compares the proposed approach to standard methods, as well as to change- point detection oracles.