22 papers · ranked by Valyu relevance
Bo Li, Yasin Esfandiari, Mikkel N. Schmidt, Tommy Sonne Alstrøm + 1 more
'Sebastian U. Stich'] In federated learning, data heterogeneity is a critical challenge. A straightforward solution is to shuffle the clients' data to homogenize the distribution. However, this may violate data access rights, and how and when shuffling can accelerate the convergence of a federated optimization…
Yanbing Chen, Ruilin Wang, Zihao Yang, Lavender Yao Jiang + 1 more
Generative Language Models Authors: ['Yanbing Chen' 'Ruilin Wang' 'Zihao Yang' 'Lavender Yao Jiang' 'Eric K. Oermann'] Packing and shuffling tokens is a common practice in training auto-regressive language models (LMs) to prevent overfitting and improve efficiency. Typically documents are concatenated to chunks of…
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…
Manuel Penschuck
Shuffling is the process of rearranging a sequence of elements into a random order such that any permutation occurs with equal probability. It is an important building block in a plethora of techniques used in virtually all scientific areas. Consequently considerable work has been devoted to the design and…
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…
Karin M. Cox, Daisuke Kase, Taieb Znati, Robert S. Turner
Oscillations figure prominently as neurological disease hallmarks and neuromodulation targets. To detect oscillations in a neuron’s spiking, one might attempt to seek peaks in the spike train’s power spectral density (PSD) which exceed a flat baseline. Yet for a non-oscillating neuron, the PSD is not flat: The recovery…
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…
Jacob Imola, Takao Murakami, Kamalika Chaudhuri
Subgraph counting is fundamental for analyzing connection patterns or clustering tendencies in graph data. Recent studies have applied LDP (Local Differential Privacy) to subgraph counting to protect user privacy even against a data collector in social networks. However, existing local algorithms suffer from extremely…
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…
Takao Murakami, Yuichi Sei, Reo Eriguchi
—The shuffle model of DP (Differential Privacy) provides high utility by introducing a shuffler that randomly shuffles noisy data sent from users. However, recent studies show that existing shuffle protocols suffer from the following two major drawbacks. First, they are vulnerable to local data poisoning attacks, which…
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…
Karin M. Cox, Daisuke Kase, Taieb Znati, Robert S. Turner
Similar to the synthetic dataset, many of the recorded units exhibited low FRs, such that local shuffling was not a practical option. We extended the global shuffling option from (which was only defined for unbroken time series) to temporally separated data segments with the following algorithm (all indices assume…
Murakami, Takao, Sei Yuichi, Eriguchi + 1 more
—Shuffle DP (Differential Privacy) protocols provide high accuracy and privacy by introducing a shuffler who randomly shuffles data in a distributed system. However, most shuffle DP protocols are vulnerable to two attacks: collusion attacks by the data collector and users and data poisoning attacks. A recent study…
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)…
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…
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…
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…
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…
Julia Kasprzak, Simon Frey, Hermann Oetlinger, C. Benedikt Westphalen + 3 more
partnerships Authors: ['Julia Kasprzak' 'Simon Frey' 'Hermann Oetlinger' 'C. Benedikt Westphalen' 'Nicole Erickson' 'Volker Heinemann' 'Daniel Nasseh'] Objectives Academic institutions have access to comprehensive sets of real-world data. However, their potential for secondary use-for example, in medical outcomes…
Pijun Hou, Yuepeng Wang, Ziming Shi, Pan Zheng
While encrypting information with color images, most encryption schemes treat color images as three different grayscale planes and encrypt each plane individually. These algorithms produce more duplicated operations and are less efficient because they do not properly account for the link between the various planes of…
Nadella Sunil, G Narsimha
The emergence of digital information has raised many issues over the release of sensitive personal information in data mining activities due to the rapid expansion of the digital information. Privacy-Preserving Data Mining (PPDM) has the goal of allowing a significant analysis of data, as well as safeguarding…
Alyssa A Pratt, David A Hendrix
The sequence of nucleotides that make up an RNA determines its structure, which determines its function. The RNA hairpin, also known as a stem-loop, is a ubiquitous and fundamental feature of RNA secondary structure. A common method of randomizing an RNA sequence is dinucleotide shuffling with the Altschul-Erickson…