19 papers · ranked by Valyu relevance
Marc Damie, Florian Hahn, Peter Andreas, Jan Ramon
Ishai et al. (FOCS'06) introduced secure shuffling as an efficient building block for private data aggregation. Recently, the field of differential privacy has revived interest in secure shufflers by highlighting the privacy amplification they can provide in various computations. Although several works argue for the…
Shanuja Sasi, Onur Günlü
—In this paper, we consider two critical aspects of security in the distributed computing (DC) model: secure data shuffling and secure coded computing. It is imperative that any external entity overhearing the transmissions does not gain any information about the intermediate values (IVs) exchanged during the shuffling…
Borja Balle, James Bell, Adrià Gascón
Motivated by recent developments in the shuffle model of differential privacy, we propose a new approximate shuffling functionality called Alternating Shuffle, and provide a protocol implementing alternating shuffling in a single-server threat model where the adversary observes all communication. Unlike previous…
Yulin Shen, Jun Huang, Lingling Chen, Tao Wen + 4 more
'Guidong Zhang' 'Amelia Carolina Sparavigna' 'Congxu Zhu'] Adding time delay to nonlinear systems can significantly improve their performance, making it possible to construct image-encryption algorithms with higher security. In this paper, we propose a time-delayed nonlinear combinatorial hyperchaotic map (TD-NCHM)…
Karthik Ganesan, Michal Fishkin, Ourong Lin, Natalie Enright Jerger
—Neural networks are seeing increased use in diverse Internet of Things (IoT) applications such as healthcare, smart homes and industrial monitoring [67]. Their widespread use makes neural networks a lucrative target for theft. An attacker can obtain a model without having access to the training data or incurring the…
Fupei Chen, Liyao Xiang, Haoxiang Sun, Hei Victor Cheng + 1 more
—Deep learning draws heavily on the latest progress in semantic communications. The present paper aims to examine the security aspect of this cutting-edge technique from a novel shuffling perspective. Our goal is to improve upon the conventional secure coding scheme to strike a desirable tradeoff between transmission…
Jong-Yeon Park, Jang-Won Ju, Won‐Il Lee, Bo-Gyeong Kang + 2 more
'Yasuyuki Kachi' 'Kouichi Sakurai'] As NIST is putting the final touches on the standardization of PQC (Post Quantum Cryptography) public key algorithms, it is a racing certainty that peskier cryptographic attacks undeterred by those new PQC algorithms will surface. Such a trend in turn will prompt more follow-up…
Arslan Shafique, Syed Ali Atif Naqvi, Ali Raza, Masoud Ghalaii + 4 more
'Panagiotis Papanastasiou' 'Julie McCann' 'Qammer H. Abbasi' 'Muhammad Ali Imran'] In the era of the Internet of Things (IoT), the transmission of medical reports in the form of scan images for collaborative diagnosis is vital for any telemedicine network. In this context, ensuring secure transmission and communication…
Haijun Zhang, Xiaojiao Liu, Kehan Chen, Rigen Te + 2 more
'Jun Chen'] This study presents a novel two-dimensional hyperchaotic map, referred to as the 2D exponent-logarithm-sine chaotic map (2D-ELSCM), which is intricately designed through the interplay of exponential, logarithmic, and sine functions. To comprehensively evaluate the chaotic performance of the 2D-ELSCM…
Wajid Ali, Congxu Zhu, Rabia Latif, Muhammad Asim + 2 more
'Muhammad Usman Tariq' 'Amelia Carolina Sparavigna'] Image encryption techniques protect private images from unauthorized access while they are being transmitted. Previously used confusion and diffusion processes are risky and time-consuming. Therefore, finding a solution to this problem has become necessary. In this…
T. Anujaa, Afra Fathima Thajudeen Ali Ahamed, Vedika Baranwal, V. Thanikaiselvan + 3 more
'V. Thanikaiselvan' 'S. Subashanthini' 'C. Sivaranjani Devi' 'Amirtharajan Rengarajan'] In recent years, technological advancements have made the transmission of confidential information spooky. This research proposes a modified 5D chaotic map and a new image encryption algorithm based on an integrated chaotic system…
Linh N. Tran, David Castellano, Ryan N. Gutenkunst
Convolutional neural networks (CNNs) have become powerful tools for population genomic inference, yet understanding which genomic features drive their performance remains challenging. We introduce ConfuseNN, a method that systematically shuffles input haplotype matrices to disrupt specific population genetic features…
Authors not listed
Next Generation Risk Assessment (NGRA) promotes animal-free, exposure-informed, and hypothesis-driven approaches to chemical safety assessment. In silico tools, such as quantitative structure-activity relationship (QSAR) models, are valuable new approach methodologies (NAMs) for use in NGRA. However, the practical…
Chih Chuan Shih, Jieqi Chen, Ai Shan Lee, Nicolas Bertin + 34 more
Genomic researchers are increasingly utilizing commercial cloud platforms (CCPs) to manage their data and analytics needs. Commercial clouds allow researchers to grow their storage and analytics capacity on demand, keeping pace with expanding project data footprints and enabling researchers to avoid large capital…
Frederic von Wegner, Gesine Hermann, Inken Tödt, Inga Karin Todtenhaupt + 1 more
Higher-order syntax properties of EEG microstate sequences offer insight into the transition dynamics of functional brain networks. We here define higher-order syntax as microstate sequence properties that are not explained by the first-order transition matrix, and we postulate three requirements that surrogate data…
Fatima Asiri, Wajdan Al Malwi, Tamara Zhukabayeva, Ibtehal Nafea + 3 more
'Abdullah Aziz' 'Nadhmi A. Gazem' 'Abdullah Qayyum'] Introduction Preserving privacy is a critical concern in medical imaging, especially in resource limited settings like smart devices connected to the IoT. To address this, a novel encryption method for medical images that operates at the bit plane level, tailored for…
Ke Zeng, Anthony Fodor
In microbiome research, differential abundance analysis aids in identifying significant differences in microbial taxa across two or more conditions. Statistical approaches used for this purpose include classical tests such as the t-test and Wilcoxon test, as well as methods designed to account for the compositional…
Thomas Lynn, Julio Ottino, Richard Lueptow, Paul Umbanhowar
Cut-and-shuffle mixing is an instructive candidate system with which to assess the potential of machine learning (ML) as an approach to solve difficult mixing problems. We focus on a specific subset of cut-and-shuffle systems, the one-dimensional interval exchange transform. This class of mixing operations is well…
Xiangzhen Zan, Ranze Xie, Ling Chu, Yanqing Su + 3 more
Rapid development in synthetic technologies has boosted DNA as a potential medium for large-scale data storage. Meanwhile, how to implement data security in DNA storage system is still an unsolved problem. In this paper, we propose an image encryption method based on the modulation-based storage architecture. The key…