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Identity-Preserving Adversarial Training for Robust Network Embedding

Journal of Computer Science & technology 2024年第1期39卷 177-191页

作者：岑科廷沈华伟曹婍徐冰冰程学旗 Data Intelligence System Research Center Institute of Computing TechnologyChinese Academy of SciencesBeijing 100190China University of Chinese Academy of Sciences Beijing 101480China Beijing Academy of Artificial Intelligence Beijing 100000China Chinese Academy of Sciences Key Laboratory of Network Data Science and Technology Institute of Computing Technology Chinese Academy of SciencesBeijing 100190China

Network embedding,as an approach to learning low-dimensional representations of nodes,has been proved extremely useful in many applications,e.g.,node classification and link ***,existing network embed-ding models are vulnerable to random or adversarial perturbations,which may degrade the performance of network em-bedding when being applied to downstream *** achieve robust network embedding,researchers introduce adversari-al training to regularize the embedding learning process by training on a mixture of adversarial examples and original ***,existing methods generate adversarial examples heuristically,failing to guarantee the imperceptibility of generated adversarial examples,and thus limit the power of adversarial *** this paper,we propose a novel method Identity-Preserving Adversarial Training(IPAT)for network embedding,which generates imperceptible adversarial exam-ples with explicit identity-preserving *** formalize such identity-preserving regularization as a multi-class classification problem where each node represents a class,and we encourage each adversarial example to be discriminated as the class of its original *** experimental results on real-world datasets demonstrate that our proposed IPAT method significantly improves the robustness of network embedding models and the generalization of the learned node representations on various downstream tasks.

关键词： network embedding identity-preserving adversarial training adversarial the example

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Efficient location-dependent skyline retrieval with peer-to-peer sharing

Efficient location-dependent skyline retrieval with peer-to-...

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15th Asia-Pacific Web Conference on Web Technologies and Applications, APWeb 2013

作者： Xiao, Yingyuan Shen, Yan Wang, Hongya Wang, Xiaoye Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Key Laboratory of Computer Vision and System Tianjin University of Technology 300384 China Donghua University 201620 Shanghai China

ISBN: (纸本)9783642374005

Motivated by the fact that a great deal of information is closely related to spatial location, a new type of skyline queries, location-dependent skyline query (LDSQ), was recently presented. Different from the conventional skyline query, which focuses on non-spatial attributes of objects and does not consider location relationship (i.e., proximity), LDSQ considers both the proximity and non-spatial attributes of objects. In this paper, we explore the problem of efficient LDSQ processing in a mobile environment. We propose a novel LDSQ processing method based on peer-to-peer (P2P) sharing. Extensive experiments are conducted, and the experimental results demonstrate the effectiveness of our methods. © 2013 Springer-Verlag.

关键词： Location based services

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Column-based RLE in row-oriented database

Column-based RLE in row-oriented database

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2009 International Conference on Cyber-Enabled Distributed computing and Knowledge Discovery, CyberC '09

作者： An, Mingyuan Key Laboratory of Computer System and Architecture Institute of Computing Technology Graduate University of Chinese Academy of Sciences Beijing China

ISBN: (纸本)9781424452187

In database systems, disk I/O performance is usually the bottleneck of the whole query processing. Among many techniques, compression is one of the most important ones to reduce disk accesses so to improve system performance. RLE (Run-Length Encoding) is one light-weight compression algorithm which incurs negligible CPU cost. A lot of work show that, although RLE is one of the most effective compression techniques in column-oriented systems, it is very hard to use due to bad value locality in row-oriented systems where values from multiple attributes are stored in the same page. We propose CRLE (Column-based RLE), one compression algorithm to apply RLE to row-oriented data storage. On row-oriented storage page, CRLE can exploit value locality in individual column and encode values from the same column in run-length format. Experiments show that CRLE can lead to very good compression ratio and performance in spite of row-oriented data storage. © 2009 IEEE.

关键词： Query processing

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l-SkyDiv query:Effectively improve the usefulness of skylines

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Science China(Information Sciences) 2010年第9期53卷 1785-1799页

作者： HUANG ZhenHua1,2*,XIANG Yang1 & LIN ZiYu3 1Department of Computer Science and technology,Tongji University,Shanghai 201804,China 2The key laboratory of Embedded system and service computing,Ministry of Education,Tongji University,Shanghai 200092,China 3Department of Computer Science and technology,Peking University,Beijing 100871,China 1. Department of Computer Science and Technology Tongji University Shanghai 201804 China2. The Key Laboratory of Embedded System and Service Computing Ministry of Education Tongji University Shanghai 200092 China3. Department of Computer Science and Technology Peking University Beijing 100871 China

Skyline query processing has recently received a lot of attention in database *** a set of multi-dimensional objects,the skyline query finds the objects that are not dominated by *** the best of our knowledge,the existing researches mainly focus on how to efficiently return the whole skyline ***,as the cardinality and dimensionality of input dataset increase,the number of skylines grows exponentially,and hence this "huge" skyline set is completely useless to *** by the above fact,in this paper,we present a novel type of l-SkyDiv query,which only returns l skylines having maximum diversity,to improve the usefulness of skyline ***,we prove that the l-SkyDiv query belongs to the NP-Hard problem theoretically,and propose three efficient heuristic algorithms whose time complexities are polynomial to fast implement the proposed ***,we present detailed theoretical analyses and extensive experiments,demonstrating that our algorithms are both efficient and effective.

关键词： skyline query diversity heuristic algorithm query optimization performance evaluation

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Joint Channel Estimation and Decoding Design for 5G-Enabled V2V Channel

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China Communications 2018年第7期15卷 39-46页

作者： Xuanfan Shen Yong Liao Xuewu Dai Ming Zhao Kai Liu Dan Wang Center of Communication and TT&C Chongqing University The State Key Laboratory of Integrated Services Networks Xidian University Faculty of Engineering and Environment Northumbria University Key Laboratory of Dependable Service Computing in Cyber Physical Society Chongqing University Ministry of Education Chongqing Key Laboratory of Mobile Communication Technology Chongqing University of Posts and Telecommunication

This paper addresses the problem of channel estimation in 5G-enabled vehicular-to-vehicular(V2V) channels with high-mobility environments and non-stationary feature. Considering orthogonal frequency division multiplexing(OFDM) system, we perform extended Kalman filter(EKF) for channel estimation in conjunction with Iterative Detector & Decoder(IDD) at the receiver to improve the estimation accuracy. The EKF is proposed for jointly estimating the channel frequency response and the time-varying time correlation coefficients. And the IDD structure is adopted to reduce the estimation errors in EKF. The simulation results show that, compared with traditional methods, the proposed method effectively promotes the system performance.

关键词： orthogonal frequency division multiplexing（OFDM）non-stationary channel estimation extended Kalman filter（EKF）Iterative Detector ＆ Decoder（IDD）vehicular-to-vehicular（V2V）

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Rule-chain incremental mining algorithm based on directed graph

Rule-chain incremental mining algorithm based on directed gr...

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6th International Conference on Fuzzy systems and Knowledge Discovery, FSKD 2009

作者： Ning, Hongyun Zhang, Zhiying Zhang, Degan Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China Key Laboratory of Computer Vision and System Tianjin University of Technology Ministry of Education Tianjin China

ISBN: (纸本)9780769537351

Aiming to discover the rule-chains directly, a novel graph-based online incremental mining algorithm (RIOMining) is proposed. Firstly, an interrelated bitmap based on a directed graph (PAGraph) is designed to compress the rule-chain information for storage. The compressed storage of the directed-graph effectively avoids repetitious database scanning and makes meaningful rules found more conveniently. Secondly, four theorems about discovery and pruning of frequent path in the graph are proved, so as to the rule-chains could be iteratively generated by searching incremental paths, while the theorems narrow the search scope and promote the performance by properly pruning and extending paths. It effectively reduces the redundancy calculation. Comparing it with other two fast mining algorithms, DLG and FP-growth, experimental result shows that it can mine rule-chains of high quality, especially, it is of real-time accuracy, and thereby it can be widely applied to dynamic network environment. © 2009 IEEE.

关键词： Directed graphs

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Security analysis and improvement for kerberos based on dynamic password and diffie-hellman algorithm

Security analysis and improvement for kerberos based on dyna...

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4th International Conference on Emerging Intelligent Data and Web Technologies, EIDWT 2013

作者： Wang, Chundong Feng, Chaoran Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin China

ISBN: (纸本)9780769550442

This paper analyses the process of Kerberos authentication protocol, and finds the existing security problems of the protocol referring to some Kerberos improvement projects proposed in some papers at home and abroad, and puts forward the thoughts and methods using dynamic password to improve the encryption security during the process of interaction between the client and Kerberos key distribution center, and makes passwords securely exchanged by using Diffile-Hellman key algorithm. © 2013 IEEE.

关键词： Cryptography

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Identification based on PRT gravity tunnel of continuous electrocardiogram 14

Identification based on PRT gravity tunnel of continuous ele...

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14th International Conference on Natural Computation, Fuzzy systems and Knowledge Discovery, ICNC-FSKD 2018

作者： Dai, Min Meng, Danyang Jia, Feng Ma, Miaoling Key Laboratory of Computer Vision and System Ministry of Education Tianjin University of Technology Tianjin China Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Tianjin University of Technology Tianjin China

ISBN: (纸本)9781538680971

An electrocardiogram (ECG)identification method is proposed based on PRT triangle gravity tunnel of continuous electrocardiogram. The PRT center of gravity is defined by the P, R, T fiducial points in ECG signal, and the gravity tunnel of continuous PRT points is described as a matrix. The European distance is used to determine the similarity between two matrices. The performance of the proposed method is tested on MIT-BIH Database and the ECG data collected in practical environment from 25 healthy college students. Several group experiments were carried out and the average recognition accuracy is 99.87%. Comparing with the traditional correlation coefficient method, experimental results show that the average recognition accuracy is increased 1.66% when using the proposed method. © 2018 IEEE.

关键词： Electrocardiograms

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Polarization Projection for 3D Geometry-Based Stochastic Channel Model

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China Communications 2015年第10期12卷 52-63页

作者： PANG Lihua ZHANG Yang GONG Fengkui WANG Anyi XIAO Liyuan LIANG Xiao WANG Qiaofeng LI Jiandong School of Information Engineering Xi'an University of Science and Technology State Key Laboratory of Integrated Service Networks Xidian University National Mobile Communications Research Laboratory Southeast University Service Development Center State Commission Office for Public Sector Reform System Simulation Department ZTE Corporation

Comprehensive radiation characteristics of polarized antenna are crucial in creating practical channel coefficients for next generation wireless communication system *** currently supported within3 D geometry-based stochastic channel models(GSCM),field patterns are technically obtained by chamber measurement(or by its best fitting).However,in some channel related performance analysis scenarios,design insight can be crystallized better by starting the derivations with theoretical co-polarization and cross-polarization ***,these two components are mathematically linked with field patterns through the proposed polarization projection *** this manuscript,we focus on revealing the transformation criterion of polarization states between the antenna plane and the propagation *** practice,it makes retrieving the field patterns by electromagnetic computation ***,the impact imposed by distinct antenna orientations is geometrically illustrated and consequently incorporated into the proposed *** will further facilitate flexible performance evaluation of related radio transmission *** conclusions are verified by the closed-form expression of the dipole field pattern(via an analytical approach) and by chamber measurement ***,we find that its 2D degenerative case is aligned with the definitions in 3^(rd) generation partnership project(3GPP)technical report *** most obvious benefit of the proposed algorithm is to significantly reduce the cost on generating channel coefficients in GSCM simulation.

关键词： polarization 3D geometry-based stochastic channel model antenna orientation radiation characteristics dipole chamber measurement channel simulation

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Data protection and provenance in cloud of things environment: Research challenges

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International Journal of Information and Computer Security 2020年第4期12卷 416-435页

作者： Wang, Chundong Yang, Lei Guo, Hao Wan, Fujin Key Laboratory of Computer Vision and System Tianjin Key Laboratory of Intelligence Computing and Novel Software Technology Ministry of Education Tianjin University of Technology Tianjin China Global Energy Internet Research Institute Beijing University of Technology Tianjin China Department of College of Computer and Control Engineering Nankai University Tianjin China

Internet of things are increasingly being deployed over the cloud (also referred to as cloud of things) to provide a broader range of services. However, there are serious challenges of CoT in the data protection and security provenance. This paper proposes a data privacy protection and provenance model (DPSPM) based on CoT. It can protect the privacy data of the users and trace the source of leaked data. In detail, security encryption and watermarking algorithms are proposed. Meanwhile, we use the improved k-anonymity data masking algorithm and pseudo-row watermarking algorithm in this scheme. Those algorithms can carry out security control over the whole process of data publishing, especially in data encryption, data masking and provenance verification. Finally, the experimental results show that our scheme has good efficiency. It is proved that the data masking time is proportional to the parameters k and L, the results also show good robustness to the common database watermarking attacks. © 2020 Inderscience Enterprises Ltd.

关键词： Data privacy

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