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Robust Traceability from Trace Amounts

Robust Traceability from Trace Amounts

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Annual IEEE Symposium on Foundations of computer science

作者： Cynthia Dwork Adam Smith Thomas Steinke Jonathan Ullman Salil Vadhan Microsoft. Mountain View CA USA Computer Science and Engineering Department. Pennsylvania State University. State College PA USA John A. Paulson School of Engineering and Applied Sciences. Harvard University. Cambridge MA USA College of Computer and Information Science. Northeastern University. Boston MA USA Center for Research on Computation & Society Harvard University Cambridge MA USA

The privacy risks inherent in the release of a large number of summary statistics were illustrated by Homer et al. (PLoS Genetics, 2008), who considered the case of 1-way marginals of SNP allele frequencies obtained in a genome-wide association study: Given a large number of minor allele frequencies from a case group of individuals diagnosed with a particular disease, together with the genomic data of a single target individual and statistics from a sizable reference dataset independently drawn from the same population, an attacker can determine with high confidence whether or not the target is in the case group. In this work we describe and analyze a simple attack that succeeds even if the summary statistics are significantly distorted, whether due to measurement error or noise intentionally introduced to protect privacy. Our attack only requires that the vector of distorted summary statistics is close to the vector of true marginals in ℓ 1 norm. Moreover, the reference pool required by previous attacks can be replaced by a single sample drawn from the underlying population. The new attack, which is not specific to genomics and which handles Gaussian as well as Bernouilli data, significantly generalizes recent lower bounds on the noise needed to ensure differential privacy (Bun, Ullman, and Vadhan, STOC 2014, Steinke and Ullman, 2015), obviating the need for the attacker to control the exact distribution of the data.

关键词： Sociology Statistics Privacy Genomics Bioinformatics Data privacy computer science

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Concurrent, parallel garbage collection in linear time 14

Concurrent, parallel garbage collection in linear time

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2014 ACM SIGPLAN International Symposium on Memory Management, ISMM 2014

作者： Brandt, Steven R. Krishnan, Hari Sharma, Gokarna Busch, Costas Center for Computation and Technology School of Electrical Engineering and Computer Science Louisiana State University Baton RougeLA70803 United States School of Electrical Engineering and Computer Science Louisiana State University Baton RougeLA70803 United States

ISBN: (纸本)9781450329217

This paper presents a new concurrent garbage collection algorithm based on two types of reference, strong and weak, to link the graph of objects. Strong references connect the roots to all the nodes in the graph but do not contain *** references may, however, contain cycles. Advantages of this system include: (1) reduced processing, nontrivial garbage collection work is only required when the last strong reference is lost;(2) fewer memory traces to delete objects, a garbage cycle only needs to be traversed twice to be deleted;(3) fewer memory traces to retain objects, since the collector can often prove objects are reachable without fully tracing support cycles to which the objects belong;(4) concurrency, it can run in parallel with a live system without "stopping the world;" (5) parallel, because collection operations in different parts of the memory can proceed at the same time. Previous variants of this technique required exponential cleanup time [27, 31], but our algorithm is linear in total time, i.e. any changes in the graph take only O(N) time steps, where N is the number of edges in the affected subgraph (e.g. the subgraph whose strong support is affected by the operations). Copyright © 2014 ACM.

关键词： Parallel programming

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Causal analysis of cortical networks involved in reaching to spatial targets

Causal analysis of cortical networks involved in reaching to...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： John R. Iversen Alejandro Ojeda Tim Mullen Markus Plank Joseph Snider Gert Cauwenberghs Howard Poizner Institute of Neural Computation and Swartz Center for Computational Neuroscience UC San Diego Department of Electrical and Computer Engineering UC San Diego Department of Cognitive Science and Institute of Neural Computation UC San Diego Brain Products Inc. Institute of Neural Computation UC San Diego Department of Bioengineering Jacobs School of Engineering and Institute of Neural Computation UC San Diego

ISBN: (纸本)9781424479276

The planning of goal-directed movement towards targets in different parts of space is an important function of the brain. Such visuo-motor planning and execution is known to involve multiple brain regions, including visual, parietal, and frontal cortices. To understand how these brain regions work together to both plan and execute goal-directed movement, it is essential to describe the dynamic causal interactions among them. Here we model causal interactions of distributed cortical source activity derived from non-invasively recorded EEG, using a combination of ICA, minimum-norm distributed source localization (cLORETA), and dynamical modeling within the Source Information Flow Toolbox (SIFT). We differentiate network causal connectivity of reach planning and execution, by comparing the causal network in a speeded reaching task with that for a control task not requiring goal-directed movement. Analysis of a pilot dataset (n=5) shows the utility of this technique and reveals increased connectivity between visual, motor and frontal brain regions during reach planning, together with decreased cross-hemisphere visual coupling during planning and execution, possibly related to task demands.

关键词： Planning Electroencephalography Brain modeling Visualization Biological system modeling Neuroscience Independent component analysis

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Enhanced directional transmission through a subwavelength plasmonic slit by optical microcavities

Enhanced directional transmission through a subwavelength pl...

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Frontiers in Optics

作者： Haddadpour, Ali Veronis, Georgios School of Electrical Engineering and Computer Science Louisiana State University Baton RougeLA70803 United States Center for Computation and Technology Louisiana State University Baton RougeLA70803 United States

We show that a compact structure consisting of multiple optical microcavities on both the entrance and exit side of a subwavelength plasmonic slit can lead to greatly enhanced directional transmission through the slit... 详细信息

ISBN: (纸本)1557522863

关键词： Plasmonics

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Clutter reduction in rendering of particle (Atom) trajectories with adaptive position merging

Clutter reduction in rendering of particle (Atom) trajectori...

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9th International Conference on computer Graphics Theory and Applications, GRAPP 2014

作者： Bohara, Bidur Karki, Bijaya B. School of Electrical Engineering and Computer Science Louisiana State University Baton Rouge United States Department of Geology and Geophysics Louisiana State University Baton Rouge United States Center for Computation and Technology Louisiana State University Baton Rouge United States

ISBN: (纸本)9789897580024

Visualization of position-time series data from molecular dynamics simulations of a material has to render atomic trajectories, and relevant structural and dynamical information. Clutter/occlusion associated with overlapping trajectories becomes serious even for moderate data sizes. We present an adaptive hierarchical scheme for merging multiple positions along trajectories to significantly reduce the number of points/line segments used for rendering. Our approach finds positions lying within a space window (cut-off distance) from a reference position and merges them into a single position. The window is then moved in time order with merging performed at each successive location. All original positions are thus processed to a reduced number of new (merged) positions, which are further merged with the same or a different cut-off to obtain even fewer positions. This hierarchical merging may continue several levels deep. Moreover, merging can be performed subject to constraint of information, which is displayed (color-coded) along individual trajectories. Both the trajectory geometry and underlying atomic structure become increasingly visible after merging so the nature and extent of atomic arrangements and movements can be better assessed.

关键词： Visualization

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Hybrid Frequency and Phase Coding for a High-Speed SSVEP-Based BCI Speller

Hybrid Frequency and Phase Coding for a High-Speed SSVEP-Bas...

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Xiaogang Chen Yijun Wang Masaki Nakanishi Tzyy-Ping Jung Xiaorong Gao Department of Biomedical Engineering School of Medicine Tsinghua University Swartz Center for Computational Neuroscience Institute for Neural Computation University of California Graduate School of Science and Technology Keio University

ISBN: (纸本)9781424479276

Steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs) have potential to realize high-speed communication between the human brain and the external environment. Recently, multiple access (MA) methods in telecommunications have been introduced into the system design of BCIs and showed their potential in improving BCI performance. This study investigated the feasibility of hybrid frequency and phase coding methods in multi-target SSVEP-based BCIs. Specifically, this study compared two hybrid target-coding strategies: (1) mixed frequency and phase coding, and (2) joint frequency and phase coding. In a simulated online BCI experiment using a 40-target BCI speller, BCI performance for both coding approaches were tested with a group of six subjects. At a spelling speed of 40 characters per minute (1.5 seconds per character), both approaches obtained high information transfer rates (ITR) (mixed coding: 172.37±28.67 bits/min, joint coding: 170.94±28.32 bits/min) across subjects. There was no statistically significant difference between the two approaches (p>0.05). These results suggest that the hybrid frequency and phase coding methods are highly efficient for multi-target coding in SSVEP BCIs with a large number of classes, providing a practical solution to implement a high-speed BCI speller.

关键词： Encoding Joints Visualization Training Accuracy Brain-computer interfaces Monitoring

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Multisensory Interface for 5D Stem Cell Image Volumes

Multisensory Interface for 5D Stem Cell Image Volumes

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Annual International Conference of the IEEE engineering in Medicine and Biology Society

作者： Michael Koerner Eric Wait Mark Winter Chris Bjornsson Erzsebet Kokovay Yue Wang Susan K. Goderie Sally Temple Andrew R. Cohen School of Biomedical Engineering Science and Health Systems Drexel University Dept. of Electrical and Computer Engineering Drexel University Neural Stem Cell Institute UT Health Science Center

ISBN: (纸本)9781424479276

Biological imaging of live cell and tissue using 3D microscopy is able to capture time-lapse image sequences showing multiple molecular markers labeling different biological structures simultaneously. In order to analyze this complex multi-dimensional image sequence data, there is a need for automated quantitative algorithms, and for methods to visualize and interact with both the data and the analytical results. Traditional computational human input devices such as the keyboard and mouse are no longer adequate for complex tasks such as manipulating and navigating 3+ dimensional volumes. In this paper, we have developed a new interaction system for interfacing with big data sets using the human visual system together with touch, force and audio feedback. This system includes real-time dynamic 3D visualization, haptic interaction via exoskeletal glove, and tonal auditory components that seamlessly create an immersive environment for efficient qualitative analysis.

关键词： Haptic interfaces Stem cells Thumb Three-dimensional displays Data visualization

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LDA topic model with soft assignment of descriptors to words

LDA topic model with soft assignment of descriptors to words

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30th International Conference on Machine Learning, ICML 2013

作者： Weinshall, Daphna Hanukaev, Dmitri Levi, Gal School of Computer Science and Engineering Center for Neural Computation Hebrew University of Jerusalem Jerusalem 91904 Israel

ISBN: (纸本)9781629933061

The LDA topic model is being used to model corpora of documents that can be represented by bags of words. Here we extend the LDA model to deal with documents that are represented by bags of continuous descriptors. Given a finite dictionary of words, our extended LDA model allows for the soft assignment of descriptors to (many) dictionary words. We derive variational inference and parameter estimation procedures for the extended model, which closely resemble those obtained for the original model, with two important differences: First, the histogram of word counts is replaced by a histogram of pseudo word counts, or sums of responsibilities over all descriptors. Second, parameter estimation now depends on the average covariance matrix between these pseudocounts, reflecting the fact that with soft assignment words are not independent. We use this approach to address the detection of novel video events, where we seek to identify video events with low posterior probability. Using a benchmark dataset for novelty detection, we show a very significant improvement in the detection of novel events when using our extended LDA model with soft assignment to words as against hard assignment (the original model), achieving state of the art novelty detection results. Copyright 2013 by the author(s).

关键词： Parameter estimation

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A Nonlinear Model of fMRI BOLD Signal Including the Trend Component

A Nonlinear Model of fMRI BOLD Signal Including the Trend Co...

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International Joint Conference on neural Networks

作者： Takashi Matsubara Hiroyuki Torikai Tetsuya Shimokawa Kenji Leibnitz Ferdinand Peper Graduate School of Engineering Science Osaka University Faculty of Computer Science and Engineering Kyoto Sangyo University Center for Information and Neural Networks (CiNet) National Institute of Information and Communications Technology and Osaka University

ISBN: (纸本)9781479914821

This paper presents a nonlinear model of the human brain activity response to visual stimuli according to Blood-Oxygen-Level-Dependent (BOLD) signals scanned by functional Magnetic Resonance Imaging (fMRI). A BOLD signal usually contains a low frequency signal component (trend), which is often ignored by the existing models or removed by approximation methods. However, such detrending could also destroy the dynamics of the BOLD signal and miss an important response. This paper shows a model that, in the absence of detrending, can predict the BOLD signal with smaller errors than existing models. For detrending, the presented model has also a lower Schwarz information criterion than existing models, which implies that the presented model will be less likely to overfit the experimental data.

关键词： Time series analysis Visualization Brain modeling Market research Predictive models Silicon carbide Data models

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Adaptive parallel tiled code generation and accelerated auto-tuning

Adaptive parallel tiled code generation and accelerated auto...

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作者： Tavarageri, Sanket Ramanujam, J. Sadayappan, P. Department of Computer Science and Engineering Ohio State University Columbus OH United States School of Electrical Engineering and Computer Science Center for Computation and Technology Louisiana State University United States

Tiling is an important program transformation that is often used to enhance cache locality and to obtain coarse-grained parallelism. In this paper, we address the problem of generating adaptive parametric tiled code for parallel execution contexts;in other words, generating parallel tiled code in which tile sizes can be changed on the fly during execution. Changing of tile sizes during pipelined parallel execution of tiles presents the following fundamental code-generation challenge: the unscanned iteration space may become non-convex. We develop novel solutions for the adaptive parallel tiled code generation problem. Using adaptive tiling, auto-tuning for tile size selection can be accelerated: in a single run of the tiled code, several tile sizes may be tested for their performance and thus expedite auto-tuning. Adaptive tiling is also useful in scenarios where tile sizes need to be dynamically altered to tailor to the changing execution environments, such as dynamically resized caches for power savings. Experimental evaluation on a number of benchmarks demonstrates the effectiveness of the developed approach. © The Author(s) 2013.

关键词： Ion beams

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