22 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…
Andrea Bittau, Úlfar Erlingsson, Petros Maniatis, Ilya Mironov + 6 more
'Ananth Raghunathan' 'David Lie' 'Mitch Rudominer' 'Ushasree Kode' 'Julien Tinnes' 'Bernhard Seefeld'] The large-scale monitoring of computer users' software activities has become commonplace, e.g., for application telemetry, error reporting, or demographic profiling. This paper describes a principled systems…
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…
Kilian Becher, Thorsten Strufe
—When working with joint collections of confidential data from multiple sources, e.g., in cloud-based multi-party computation scenarios, the ownership relation between data providers and their inputs itself is confidential information. Protecting data providers' privacy desires a function for secretly shuffling the…
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…
Sarvar Patel, Giuseppe Persiano, Kevin Yeo
We consider the problem of Oblivious Shuffling, a critical component in several applications in which one wishes to hide the pattern of data access, and the problem of K-Oblivious Shuffling, a refinement thereof. We provide efficient algorithms for both problems and discuss their application to the design of Oblivious…
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…
Xin Jin, Xintao Duan, Hang Jin, Yuanyuan Ma
Aiming at the problems of small key space, low security of encryption structure, and easy to crack existing image encryption algorithms combining chaotic system and DNA sequence, this paper proposes an image encryption algorithm based on a hidden attractor chaotic system and shuffling algorithm. Firstly, the chaotic…
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…
Shafali Agarwal
Fractal’s spatially nonuniform phenomena and chaotic nature highlight the function utilization in fractal cryptographic applications. This paper proposes a new composite fractal function (CFF) that combines two different Mandelbrot set (MS) functions with one control parameter. The CFF simulation results demonstrate…
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…
Amy Vennos, Alan Michaels, Yong Deng
This paper models a translation for base-2 pseudorandom number generators (PRNGs) to mixed-radix uses such as card shuffling. In particular, we explore a shuffler algorithm that relies on a sequence of uniformly distributed random inputs from a mixed-radix domain to implement a Fisher-Yates shuffle that calls for…
Fawad Masood, Jawad Ahmad, Syed Aziz Shah, Sajjad Shaukat Jamal + 1 more
'Iqtadar Hussain'] Chaos-based encryption schemes have attracted many researchers around the world in the digital image security domain. Digital images can be secured using existing chaotic maps, multiple chaotic maps, and several other hybrid dynamic systems that enhance the non-linearity of digital images. The…
Victoria Popic, Serafim Batzoglou
The recent explosion in the amount of available genome sequencing data imposes high computational demands on the tools designed to analyze it. Low-cost cloud computing has the potential to alleviate this burden. However, moving personal genome data analysis to the cloud raises serious privacy concerns. Read alignment…
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…
Miran Kim, Arif Harmanci, Jean-Philippe Bossuat, Sergiu Carpov + 17 more
Genotype imputation is a fundamental step in genomic data analysis such as GWAS, where missing variant genotypes are predicted using the existing genotypes of nearby ‘tag’ variants. Imputation greatly decreases the genotyping cost and provides high-quality estimates of common variant genotypes. As population panels…
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…
Justin Wagner, Joseph N. Paulson, Xiao-Shaun Wang, Bobby Bhattacharjee + 1 more
Developing targeted therapeutics and identifying biomarkers relies on large amounts of patient data. Beyond human DNA, researchers now investigate the DNA of micro-organisms inhabiting the human body. An individual’s collection of microbial DNA consistently identifies that person and could be used to link a real-world…
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…
Tian Yang, Zhuangcheng Zhen, Yuhai Tu, Qi Ouyang + 1 more
Protein complexes are critical for cellular functions, and subunit exchange within these complexes is increasingly recognized as a key regulatory mechanism. In the cyanobacterial circadian clock, subunits shuffling of the core clock protein KaiC is thought to synchronize the clock, though the underlying mechanism…