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In Cyber-Physical Systems (CPS), inference based on communicated data is of critical significance as it can be used to manipulate or damage the control operations by adversaries. This calls for efficient mechanisms for secure transmission…

Information Theory · Computer Science 2020-06-30 Gaurav Kumar Agarwal , Mohammed Karmoose , Suhas Diggavi , Christina Fragouli , Paulo Tabuada

Large-scale text-to-image models have demonstrated amazing ability to synthesize diverse and high-fidelity images. However, these models are often violated by several limitations. Firstly, they require the user to provide precise and…

Computer Vision and Pattern Recognition · Computer Science 2023-05-09 Yupei Lin , Sen Zhang , Xiaojun Yang , Xiao Wang , Yukai Shi

Creative image generation has emerged as a compelling area of research, driven by the need to produce novel and high-quality images that expand the boundaries of imagination. In this work, we propose a novel framework for creative…

Computer Vision and Pattern Recognition · Computer Science 2026-02-04 Kunpeng Song , Ahmed Elgammal

Distributed diffusion is a powerful algorithm for multi-task state estimation which enables networked agents to interact with neighbors to process input data and diffuse information across the network. Compared to a centralized approach,…

Multiagent Systems · Computer Science 2020-03-27 Jiani Li , Xenofon Koutsoukos

Image-to-image translation (I2I), and particularly its subfield of appearance transfer, which seeks to alter the visual appearance between images while maintaining structural coherence, presents formidable challenges. Despite significant…

Computer Vision and Pattern Recognition · Computer Science 2023-11-29 Yuteng Ye , Guanwen Li , Hang Zhou , Cai Jiale , Junqing Yu , Yawei Luo , Zikai Song , Qilong Xing , Youjia Zhang , Wei Yang

Restoring low-resolution text images presents a significant challenge, as it requires maintaining both the fidelity and stylistic realism of the text in restored images. Existing text image restoration methods often fall short in hard…

Computer Vision and Pattern Recognition · Computer Science 2025-06-17 Chenglu Pan , Xiaogang Xu , Ganggui Ding , Yunke Zhang , Wenbo Li , Jiarong Xu , Qingbiao Wu

Generative models have been widely studied in computer vision. Recently, diffusion models have drawn substantial attention due to the high quality of their generated images. A key desired property of image generative models is the ability…

Computer Vision and Pattern Recognition · Computer Science 2022-12-20 Qiucheng Wu , Yujian Liu , Handong Zhao , Ajinkya Kale , Trung Bui , Tong Yu , Zhe Lin , Yang Zhang , Shiyu Chang

In this paper, a learning-aided content-based wireless image transmission scheme is proposed, where a multi-antenna-aided source wishes to securely deliver an image to a legitimate destination in the presence of randomly distributed…

Information Theory · Computer Science 2021-04-20 Mehdi Letafati , Hamid Behroozi , Babak Hossein Khalaj , Eduard A. Jorswieck

Directly sending audio signals from a transmitter to a receiver across a noisy channel may absorb consistent bandwidth and be prone to errors when trying to recover the transmitted bits. On the contrary, the recent semantic communication…

Sound · Computer Science 2023-09-15 Eleonora Grassucci , Christian Marinoni , Andrea Rodriguez , Danilo Comminiello

We consider the situation in which a transmitter attempts to communicate reliably over a discrete memoryless channel while simultaneously ensuring covertness (low probability of detection) with respect to a warden, who observes the signals…

Information Theory · Computer Science 2016-11-18 Matthieu R. Bloch

We consider a wireless sensor network consists of cooperative nodes, each of them keep adapting to streaming data to perform a least-mean-squares estimation, and also maintain information exchange among neighboring nodes in order to improve…

Signal Processing · Electrical Eng. & Systems 2018-03-13 Yuan Wang , Wee Peng Tay , Wuhua Hu

To synthesize high-fidelity samples, diffusion models typically require auxiliary data to guide the generation process. However, it is impractical to procure the painstaking patch-level annotation effort required in specialized domains like…

Computer Vision and Pattern Recognition · Computer Science 2024-03-29 Alexandros Graikos , Srikar Yellapragada , Minh-Quan Le , Saarthak Kapse , Prateek Prasanna , Joel Saltz , Dimitris Samaras

Text-to-image diffusion models sometimes depict blended concepts in the generated images. One promising use case of this effect would be the nonword-to-image generation task which attempts to generate images intuitively imaginable from a…

Multimedia · Computer Science 2024-11-07 Chihaya Matsuhira , Marc A. Kastner , Takahiro Komamizu , Takatsugu Hirayama , Ichiro Ide

Modern image files are usually progressively transmitted and provide a preview before downloading the entire image for improved user experience to cope with a slow network connection. In this paper, with a similar goal, we propose a…

Machine Learning · Computer Science 2021-10-05 Youngsoo Lee , Sangdoo Yun , Yeonghun Kim , Sunghee Choi

We consider that a transmitter covertly communicates with multiple receivers under the help of a friendly jammer. The messages intended for different receivers are transmitted in mutually orthogonal frequency bands. An adversary observes…

Information Theory · Computer Science 2021-03-03 Ke-Wen Huang , Hao Deng , Hui-Ming Wang

Latent-based diffusion model watermarking embeds watermarks into generated images' latent space to enable content attribution, offering a training-free solution for intellectual property protection and digital forensics. However, these…

Computer Vision and Pattern Recognition · Computer Science 2026-05-05 Jiewei Lai , Lan Zhang , Chen Tang , Pengcheng Sun , Zhaopeng Zhang , Yunhao Wang , Hui Jin

Semantic communication focuses on conveying the task-relevant meaning rather than exact bitwise recovery. For image transmission with a generative receiver, relying only on text descriptions can be insufficient to preserve instance-specific…

Information Theory · Computer Science 2026-01-27 Xuesong Wang , Xinyan Xie , Mo Li , Zhaoqian Liu

In this work, we propose a covert communication scheme where the transmitter attempts to hide its transmission to a full-duplex receiver, from a warden that is to detect this covert transmission using a radiometer. Specifically, we first…

Information Theory · Computer Science 2017-11-13 Jinsong Hu , Khurram Shahzad , Shihao Yan , Xiangyun Zhou , Feng Shu , Jun Li

Latent diffusion models (LDMs) achieve state-of-the-art performance across various tasks, including image generation and video synthesis. However, they generally lack robustness, a limitation that remains not fully explored in current…

Machine Learning · Computer Science 2025-06-10 Boris Martirosyan , Alexey Karmanov

Image hiding is the study of techniques for covert storage and transmission, which embeds a secret image into a container image and generates stego image to make it similar in appearance to a normal image. However, existing image hiding…

Computer Vision and Pattern Recognition · Computer Science 2024-07-25 Lang Huang , Lin Huo , Zheng Gan , Xinrong He
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