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Sequential scheme for locally discriminating bipartite unitary operations without inverses

Physical Review A 2017年第2期96卷 022303-022303页

作者： Lvzhou Li Institute of Computer Science Theory School of Data and Computer Science Sun Yat-sen University Guangzhou 510006 China and Ministry of Education Key Laboratory of Machine Intelligence and Advanced Computing (Sun Yat-sen University) Guangzhou China

Local distinguishability of bipartite unitary operations has recently received much attention. A nontrivial and interesting question concerning this subject is whether there is a sequential scheme for locally discriminating between two bipartite unitary operations, because a sequential scheme usually represents the most economic strategy for discrimination. An affirmative answer to this question was given in the literature, however with two limitations: (i) the unitary operations to be discriminated were limited to act on d⊗d, i.e., a two-qudit system, and (ii) the inverses of the unitary operations were assumed to be accessible, although this assumption may be unrealizable in experiment. In this paper, we improve the result by removing the two limitations. Specifically, we show that any two bipartite unitary operations acting on dA⊗dB can be locally discriminated by a sequential scheme, without using the inverses of the unitary operations. Therefore, this paper enhances the applicability and feasibility of the sequential scheme for locally discriminating unitary operations.

关键词： Quantum channels Quantum gates

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Genomic Privacy Preserving Framework for High-Order SNPs Linkage Disequilibrium on Correlated Sequences

Genomic Privacy Preserving Framework for High-Order SNPs Lin...

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International Conference on Networking and Network Applications (NaNA)

作者： Hai Liu Zhenqiang Wu Changgen Peng Xiujuan Lei School of Computer Science Shaanxi Normal University Xi'an China Guizhou Provincial Key Laboratory of Public Big Data Guizhou University Gui Yang China

Considering the correlated SNPs sequences, the associated study between the SNPs and diseases may lead to more privacy breaches for high-order SNPs linkage disequilibrium, because of sensitive information related to SNPs including individual identity, phenotype and kinship. The existing privacy preserving methods have not been applicable to privacy preserving of SNPs, since those methods without considering correlation of the genome sequences, without effectively computation and with leading to utility disaster. To this end, we proposed the genomic privacy preserving framework for high-order SNPs linkage disequilibrium on correlated sequences. Firstly, we constructed a matrix model for diploid genotype of SNPs, while computing high-order SNPs linkage disequilibrium and the number of correlated sequences, then achieved diploid genotype indistinguishable based on the definition of differential privacy using matrix addition, finally, we got diploid genotype permutation using module operation. So we got the matrix differential privacy framework, which guaranteed the privacy of individual sensitive information for high-order SNPs linkage disequilibrium on correlated sequences, while kept the tradeoff of genome data utility. Therefore, combining matrix model of SNPs and modulo operation, our framework built on the definition of differential privacy has a guidance role for designing privacy preserving approach under high-order SNPs linkage disequilibrium on correlated sequences, while facilitates to share genome data to GWAS. Furthermore, our framework can generalize to privacy preserving of other genome data applications.

关键词： data privacy Genomics Bioinformatics Privacy Couplings Diseases Correlation

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Incentivizing the Biased Requesters: Truthful Task Assignment Mechanisms in Crowdsourcing

Incentivizing the Biased Requesters: Truthful Task Assignmen...

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IEEE Communications Society Conference on Sensor and Ad Hoc Communications and Networks (SECON)

作者： Jia Xu Hui Li Yanxu Li Dejun Yang Tao Li Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing Jiangsu China School of Computer Nanjing University of Posts and Telecommunications Nanjing Jiangsu China Department of Computer Science Colorado School of Mines Golden CO USA

ISBN: (纸本)9781509066001

Crowdsourcing has become an effective tool to utilize human intelligence to perform tasks that are challenging for machines. In the integrated crowdsourcing systems, the requesters are non- monopolistic and may show preferences over the workers. We are the first to design the incentive mechanisms, which consider the issue of stimulating the biased requesters in the competing crowdsourcing market. In this paper, we explore truthful task assignment mechanisms to maximize the total value of accomplished tasks for this new scenario. We present three models of crowdsourcing, which take the preferences of the requesters and the workload constraints of the workers into consideration. We design a task assignment mechanism, which follows the matching approach to solve the Valuation Maximizing Assignment (VMA) problem for each of the three models. Through both rigorous theoretical analyses and extensive simulations, we demonstrate that the proposed assignment mechanisms achieve computational efficiency, workload feasibility, preference (universal) truthfulness and constant approximation.

关键词： Crowdsourcing Computational modeling Cost accounting Mobile communication Aggregates Mechanical factors Knowledge engineering

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A Low-Area Overhead Secure Scan Architecture Resisting Scan-Based Attacks for Crypto Chips

A Low-Area Overhead Secure Scan Architecture Resisting Scan-...

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2017 International MultiConference of Engineers and Computer Scientists, IMECS 2017

作者： Weizheng, Wang Jincheng, Wang Shuo, Cai Peng, Liu Tieqiao, Liu College of Computer and Communication Engineering Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation Changsha University of Science and Technology Changsha Hunan410114 China College of Computer and Communication Engineering Changsha University of Science and Technology Changsha410114 China College of Computer and Communication Engineering Changsha University of Science and Technology Changsha410114 China Information Science and Engineering Department Hunan University Changsha410082 China Management School Hangzhou Dianzi University Hangzhou310018 China

ISBN: (纸本)9789881404732

Scan design is a widely used design-for-testability (DFT) technique that improves the controllability and observability of integrated circuits (ICs) resulting in the facilitation of the testing. However, it can also be used to access secret information of crypto chips, and thus threaten dramatically the security of the cipher keys. In this paper, we propose a secure scan DFT architecture to thwart scan-based side-channel attacks. This architecture provides the scan chain reset mechanism, and thus can prevent these attacks based on mode switching. Meanwhile, the secret key is isolated from scan chains of an advanced encryption standard (AES) design in the test mode. Therefore, it can also halt the test-mode-only scan attacks. The proposed secure scan DFT technique ensures the security without compromising the testability of original chip. Most important of all, the secure scan test is implemented with extremely low hardware overhead.

关键词： Design for testability

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Survey of key technologies on millimeter-wave CMOS integrated circuits

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IOP Conference Series: Materials science and Engineering 2018年第1期351卷

作者： Fei Yu Lei Gao Lixiang Li Shuo Cai Wei Wang Chunhua Wang Hunan Provincial Key Laboratory of Intelligent Processing of Big Data on Transportation & School of Computer and Communication Engineering Changsha University of Science and Technology Changsha 410114 China College of Information Science and Engineering Hunan University Changsha 410082 China

In order to provide guidance for the development of high performance millimeter-wave complementary metal oxide semiconductor (MMW-CMOS) integrated circuits (IC), this paper provides a survey of key technologies on MMW-CMOS IC. Technical background of MMW wireless communications is described. Then the recent development of the critical technologies of the MMW-CMOS IC are introduced in detail and compared. A summarization is given, and the development prospects on MMW-CMOS IC are also discussed.

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A New Image Encryption Algorithm by Combining Two Chaotic Maps

A New Image Encryption Algorithm by Combining Two Chaotic Ma...

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ISCC 2017-the 5th International Conference on Information science and Cloud computing

作者： Congxu Zhu Shuai Li School of Information Science and Engineering Central South University Guangxi Colleges and Universities Key Laboratory of Complex System Optimization and Big Data Processing Yulin Normal University

This treatise proposes a new algorithm of encrypting images by combining Sine map with generalized Arnold transformation. The algorithm adds a shift transformation link to the common permutation-diffusion structure. Firstly,the plain-image is permutated in pixel positions by using the generalized Arnold transformation. Secondly,the permutated image is diffused by using the Sine map. Then,the diffused image is performed through the shifting process,which can avoid multiple encryption and shorten the encryption time. The results of analysis and experimental tests for the proposed algorithm have been given in detail,which showed that our new algorithm is highly secure. In conclusion,it has great application potential in Internet-based image secure communication.

关键词： image Arnold A New Image Encryption Algorithm by Combining Two Chaotic Maps

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Author Correction: bigNeuron: a resource to benchmark and predict performance of algorithms for automated tracing of neurons in light microscopy datasets

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Nature methods 2024年第10期21卷 1959页

作者： Linus Manubens-Gil Zhi Zhou Hanbo Chen Arvind Ramanathan Xiaoxiao Liu Yufeng Liu Alessandro Bria Todd Gillette Zongcai Ruan Jian Yang Miroslav Radojević Ting Zhao Li Cheng Lei Qu Siqi Liu Kristofer E Bouchard Lin Gu Weidong Cai Shuiwang Ji Badrinath Roysam Ching-Wei Wang Hongchuan Yu Amos Sironi Daniel Maxim Iascone Jie Zhou Erhan Bas Eduardo Conde-Sousa Paulo Aguiar Xiang Li Yujie Li Sumit Nanda Yuan Wang Leila Muresan Pascal Fua Bing Ye Hai-Yan He Jochen F Staiger Manuel Peter Daniel N Cox Michel Simonneau Marcel Oberlaender Gregory Jefferis Kei Ito Paloma Gonzalez-Bellido Jinhyun Kim Edwin Rubel Hollis T Cline Hongkui Zeng Aljoscha Nern Ann-Shyn Chiang Jianhua Yao Jane Roskams Rick Livesey Janine Stevens Tianming Liu Chinh Dang Yike Guo Ning Zhong Georgia Tourassi Sean Hill Michael Hawrylycz Christof Koch Erik Meijering Giorgio A Ascoli Hanchuan Peng Institute for Brain and Intelligence Southeast University Nanjing China. Microsoft Corporation Redmond WA USA. Tencent AI Lab Bellevue WA USA. Computing Environment and Life Sciences Directorate Argonne National Laboratory Lemont IL USA. Kaya Medical Seattle WA USA. University of Cassino and Southern Lazio Cassino Italy. Center for Neural Informatics Structures and Plasticity Krasnow Institute for Advanced Study George Mason University Fairfax VA USA. Faculty of Information Technology Beijing University of Technology Beijing China. Beijing International Collaboration Base on Brain Informatics and Wisdom Services Beijing China. Nuctech Netherlands Rotterdam the Netherlands. Janelia Research Campus Howard Hughes Medical Institute Ashburn VA USA. Department of Electrical and Computer Engineering University of Alberta Edmonton Alberta Canada. Ministry of Education Key Laboratory of Intelligent Computation and Signal Processing Anhui University Hefei China. Paige AI New York NY USA. Scientific Data Division and Biological Systems and Engineering Division Lawrence Berkeley National Lab Berkeley CA USA. Helen Wills Neuroscience Institute and Redwood Center for Theoretical Neuroscience UC Berkeley Berkeley CA USA. RIKEN AIP Tokyo Japan. Research Center for Advanced Science and Technology (RCAST) The University of Tokyo Tokyo Japan. School of Computer Science University of Sydney Sydney New South Wales Australia. Texas A&M University College Station TX USA. Cullen College of Engineering University of Houston Houston TX USA. Graduate Institute of Biomedical Engineering National Taiwan University of Science and Technology Taipei Taiwan. National Centre for Computer Animation Bournemouth University Poole UK. PROPHESEE Paris France. Department of Neuroscience Columbia University New York NY USA. Mortimer B. Zuckerman Mind Brain Behavior Institute Columbia University New York NY USA. Department of Computer Science Northern Illinois Universit

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An Improved Algorithm for Multivariate Polynomial Interpolation

An Improved Algorithm for Multivariate Polynomial Interpolat...

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2017 Asia-Pacific Computer science and Application Conference

作者： Min Tang Guoqiang Deng School of Mathematics and Computing Science Guangxi Key Laboratory of Cryptography and Information SecurityGuilin University of Electronic Technology Shanghai Key Lab of Trustworthy Computing East China Normal University School of Mathematics and Computing Science Guangxi Colleges and Universities Key Laboratory of Data Analysis and ComputationGuilin University of Electronic Technology

In this paper,we present an improved method based on Zippel's algorithm for multivariate polynomial interpolation,and a testing point technique is proposed to verify the recovered *** with Zippel's algorithm,the new method not only returns an exact target polynomial but takes less computation time as *** experiments show the effectiveness of the improved method.

关键词： multivariate polynomial interpolation Zippel's algorithm testing point

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Harmonic motions of a weakly forced autoparametric vibrating system

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Journal of Physics: Conference Series 2018年第1期1053卷

作者： Zhanyong Li Qihuai Liu Kelei Zhang School of Mathematics and Computing Science Guangxi Colleges and Universities Key Laboratory of Data Analysis and Computation Guilin University of Electronic Technology Guilin 541004 China

Based on the method of averaging, in this paper we investigate the continuation of harmonic motions for a weakly forced autoparametric vibrating system which models the dynamics of a forced pendulum positioned on a vertically excited mass. The result shows that when the very weakly force is imposed on the pendulum, a state of dynamic balance (a harmonic motion) is preserving.

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An Improved Algorithm for Multivariate Polynomial Interpolation

An Improved Algorithm for Multivariate Polynomial Interpolat...

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第二届亚太计算机科学与应用学术会议

In this paper, we present an improved method based on Zippel's algorithm for multivariate polynomial interpolation, and a testing point technique is proposed to verify the recovered polynomial. Compared with Zippel's algorithm, the new method not only returns an exact target polynomial but takes less computation time as well. The experiments show the effectiveness of the improved method.

关键词： multivariate polynomial interpolation Zippel's algorithm testing point

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