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arXiv 2024年

作者： Huang, Huan Zhang, Hongliang Cai, Yi Zhang, Yunjing Lee Swindlehurst, A. Han, Zhu Electronic Information School Soochow University Suzhou China State Key Laboratory of Advanced Optical Communication Systems and Networks School of Electronics Peking University Beijing China Department of Electrical and Computer Engineering University of Houston Houston United States Center for Pervasive Communications and Computing University of California Irvine United States

Illegitimate intelligent reflective surfaces (IRSs) can pose significant physical layer security risks on multi-user multiple-input single-output (MU-MISO) systems. Recently, a DISCO approach has been proposed an illegitimate IRS with random and time-varying reflection coefficients, referred to as a "disco" IRS (DIRS). Such DIRS can attack MU-MISO systems without relying on either jamming power or channel state information (CSI), and classical anti-jamming techniques are ineffective for the DIRS-based fully-passive jammers (DIRS-based FPJs). In this paper, we propose an IRS-enhanced anti-jamming precoder against DIRS-based FPJs that requires only statistical rather than instantaneous CSI of the DIRS-jammed channels. Specifically, a legitimate IRS is introduced to reduce the strength of the DIRS-based jamming relative to the transmit signals at a legitimate user (LU). In addition, the active beamforming at the legitimate access point (AP) is designed to maximize the signal-to-jamming-plus-noise ratios (SJNRs). Numerical results are presented to evaluate the effectiveness of the proposed IRS-enhanced anti-jamming precoder against DIRS-based FPJs. Copyright © 2024, The Authors. All rights reserved.

关键词： Channel state information

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Automatically Generating Malware Summary Using Semantic Behavior Graphs (SBGs)

Automatically Generating Malware Summary Using Semantic Beha...

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Information Communication Technologies Conference (ICTC)

作者： Ping Yang Hui Shu Fei Kang Wenjuan Bu State Key Laboratory of Mathematical Engineering and Advanced Computing University of Information and Engineering Zhengzhou China

ISBN: (数字)9781728167763

ISBN: (纸本)9781728167770

In malware behavior analysis, there are limitations in the analysis method of control flow and data flow. Researchers analyzed data flow by dynamic taint analysis tools, however, it cost a lot. In this paper, we proposed a method of generating malware summary based on semantic behavior graphs (SBGs, Semantic Behavior Graphs) to address this issue. In this paper, we considered various situation where behaviors be capable of being associated, thus an algorithm of generating semantic behavior graphs was given firstly. Semantic behavior graphs are composed of behavior nodes and associated data edges. Then, we extracted behaviors and logical relationships between behaviors from semantic behavior graphs, and finally generated a summary of malware behaviors with true intension. Experimental results showed that our approach can effectively identify and describe malicious behaviors and generate accurate behavior summary.

关键词： Malware Semantics Microsoft Windows Heuristic algorithms Data mining Grippers Feature extraction

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Preference-Guided Reinforcement Learning for Efficient Exploration

arXiv

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arXiv 2024年

作者： Wang, Guojian Wu, Faguo Zhang, Xiao Chen, Tianyuan Chen, Xuyang Zhao, Lin The School of Mathematical Sciences Beihang University Beijing100191 China The Key Laboratory of Mathematics Informatics and Behavioral Semantics Ministry of Education Beijing100191 China Beijing Advanced Innovation Center for Future Blockchain and Privacy Computing Beijing100191 China Zhongguancun Laboratory Beijing100194 China The Institute of Artificial Intelligence Beihang University Beijing100191 China The Department of Electrical and Computer Engineering National University of Singapore 117583 Singapore

In this paper, we investigate preference-based reinforcement learning (PbRL) that allows reinforcement learning (RL) agents to learn from human feedback. This is particularly valuable when defining a fine-grain reward function is not feasible. However, this approach is inefficient and impractical for promoting deep exploration in hard-exploration tasks with long horizons and sparse rewards. To tackle this issue, we introduce LOPE: Learning Online with trajectory Preference guidancE, an end-to-end preference-guided RL framework that enhances exploration efficiency in hard-exploration tasks. Our intuition is that LOPE directly adjusts the focus of online exploration by considering human feedback as guidance, avoiding learning a separate reward model from preferences. Specifically, LOPE includes a two-step sequential policy optimization process consisting of trust-region-based policy improvement and preference guidance steps. We reformulate preference guidance as a novel trajectory-wise state marginal matching problem that minimizes the maximum mean discrepancy distance between the preferred trajectories and the learned policy. Furthermore, we provide a theoretical analysis to characterize the performance improvement bound and evaluate the LOPE’s effectiveness. When assessed in various challenging hard-exploration environments, LOPE outperforms several state-of-the-art methods regarding convergence rate and overall performance. The code used in this study is available at https://***/buaawgj/LOPE. Copyright © 2024, The Authors. All rights reserved.

关键词： Trajectories

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Maximal coin-walker entanglement in a ballistic quantum walk

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Physical Review A 2022年第4期105卷 042216-042216页

作者： Rong Zhang Ran Yang Jian Guo Chang-Wei Sun Jia-Chen Duan Heng Zhou Zhenda Xie Ping Xu Yan-Xiao Gong Shi-Ning Zhu National Laboratory of Solid State Microstructure School of Physics School of Electronic Science and Engineering and Collaborative Innovation Center of Advanced Microstructures Nanjing University Nanjing 210093 China College of Electronic and Optical Engineering Nanjing University of Posts and Telecommunication Nanjing 210023 China School of Information and Communication Engineering University of Electronic Science and Technology of China Chengdu 611731 China Institute for Quantum Information and State Key Laboratory of High Performance Computing College of Computing National University of Defense Technology Changsha 410073 China

We report that the position-inhomogeneous quantum walk (IQW) can be utilized to produce the maximal high-dimensional entanglement while maintaining the quadratic speedup spread of the wave function. Our calculations show that the maximal coin-walker entanglement can be generated in any odd steps or asymptotically in even steps, and the nearly maximal entanglement can be obtained in even steps after 2. We implement the IQW by a stable resource-saving time-bin optical network, in which a polarization Sagnac loop is employed to realize the precisely tunable phase shift. Our approach opens up an efficient way for high-dimensional entanglement engineering as well as promotes investigations on the role of coin-walker interactions in QW-based applications.

关键词： Entanglement manipulation Optical quantum information processing Quantum optics Quantum walks

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Boosting adversarial attacks on neural networks with better optimizer

arXiv

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arXiv 2020年

作者： Yin, Heng Zhang, Hengwei Wang, Jindong Dou, Ruiyu State Key Laboratory of Mathematical Engineering and Advanced Computing Henan Zhengzhou450001 China

Convolutional neural networks have outperformed humans in image recognition tasks, but they remain vulnerable to attacks from adversarial examples. Since these data are crafted by adding imperceptible noise to normal images, their existence poses potential security threats to deep learning systems. Sophisticated adversarial examples with strong attack performance can also be used as a tool to evaluate the robustness of a model. However, the success rate of adversarial attacks can be further improved in black-box environments. Therefore, this study combines a modified Adam gradient descent algorithm with the iterative gradient-based attack method. The proposed Adam Iterative Fast Gradient Method is then used to improve the transferability of adversarial examples. Extensive experiments on ImageNet showed that the proposed method offers a higher attack success rate than existing iterative methods. By extending our method, we achieved a state-of-the-art attack success rate of 95.0% on defense models. Copyright © 2020, The Authors. All rights reserved.

关键词： Image recognition

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One-neutron stripping process in the^(209)Bi(^(6)Li,^(5)Li)^(210)Bi*reaction reaction

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Nuclear Science and Techniques 2024年第6期35卷 120-129页

作者： Gao-Long Zhang Zhen-Wei Jiao Guang-Xin Zhang E.N.Cardozo B.Paes Shi-Peng Hu Jian-Qiang Qian Daniele Mengoni Wei-Wei Qu Cong-Bo Li Yun Zheng Huan-Qiao Zhang Hui-Bin Sun Nan Wang Chun-Lei Zhang J.J.Valiente-Dobón D.Testov M.Mazzocco A.Gozzelino C.Parascandolo D.Pierroutsakou M.La Commara A.Goasduff D.Bazzacco D.R.Napoli F.Galtarossa F.Recchia A.Illana S.Bakes I.Zanon S.Aydin Gde Angelis M.Siciliano R.Menegazzo S.M.Lenzi S.Akkoyun L.F.Canto J.Lubian School of Physics Beihang UniversityBeijing 100191China Sino-French Institute of Nuclear Engineering and Technology Sun Yat-Sen UniversityZhuhai 519082China Instituto de Física Universidade Federal Fluminense24210-340 NiteróiRio de JaneiroBrazil Laboratorio TANDAR Comisión Nacional de Energía AtómicaBKNA1650 San MartíınArgentina Institute for Advanced Study in Nuclear Energy and Safety Shenzhen UniversityShenzhen 518060China Shenzhen Key Laboratory of Research and Manufacture of High Purity Germanium Materials and Fetectors Shenzhen UniversityShenzhen 518060China INFN Sezione di PadovaPaduaItaly Dipartimento di fisica Astronomia dell’Universita di padova PaduaItaly State Key Laboratory of Radiation Medicine and Protection School of Radiation Medicine and ProtectionSoochow UniversitySuzhou 215123China China Institute of Atomic Energy Beijing 102413China The Key Laboratory of Beam Technology and Material Modification of Ministry of Education College of Nuclear Science and TechnologyBeijing Normal UniversityBeijing 100875China Laboratori Nazionali di Legnaro INFN35020 LegnaroItaly INFN Sezione di Napoli80126 NaplesItaly Dipartimento di Farmacia Universitàdi Napoli“Federico II”80131 NaplesItaly Department of Natural and Mathematical Sciences Faculty of EngineeringTarsus University33480 MersinTurkey Physics Division Argonne National LaboratoryLemontILUSA Department of Physics Sivas Cumhuriyet UniversitySivasTurkey Instituto de Física Universidade Federal do Rio de JaneiroRio de Janeiro CP 6852821941-972Brazil

One-neutron stripping process between^(6)Li and^(209)Bi was studied at 28,30,and 34 MeV using the in-beamγ-ray spectroscopy ***γ-γcoincident analysis clearly identified twoγ-rays feeding the ground and long-lived isomeric states,which were employed to determine the cross *** one-neutron stripping cross sections were similar to the cross sections of complete fusion in the^(6)Li+^(209)Bi system,but the one-neutron stripping cross sections decreased more gradually at the sub-barrier region.A coupled-reaction-channel calculation was performed to study the detailed reaction mechanism of the one-neutron stripping process in^(6)*** calculations indicated that the first excited state of 5 Li is critical in the actual one-neutron transfer mechanism,and the valence proton of 209Bi can be excited to the low-lying excited state in(^(6)Li,^(5)Li)reaction,unlike in the(d,p)reaction.

关键词： Transfer reaction Weakly bound nuclei Cross section

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Design and Implementation of Variable Precision Algorithm for Transcendental Functions

Design and Implementation of Variable Precision Algorithm fo...

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2019 International Conference on Artificial Intelligence Technologies and Applications, ICAITA 2019

作者： Jiangwei, Hao Jinchen, Xu Shaozhong, Guo Yuanyuan, Xia Dan, Liu State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou China

mathematical function is an essential part of numerical program, and it is also the key factor that affects the precision and performance of a program. In the design of mathematical functions, in order to satisfy most application scenarios, it is necessary to correctly round and cover the calculated interval as much as possible. But in certain applications, correct rounding and full coverage of definition domain may not be required. Therefore, mathematical functions can be customized according to application requirements to avoid precision waste as well as improve performance. However, manually implementing mathematical functions is a time-consuming and error-prone task. Tools like Metalibm is designed to automatically generate mathematical function code, which is difficult to take advantage of all the mathematical properties of a function and results in the generated code performing slowly than the corresponding mathematical library function. A method of generating variable precision code based on mathematical properties is proposed for the transcendental function in this work. Experiments showed the performance of the proposed method is comparable to Glibc mathematical function. © 2019 IOP Publishing Ltd. All rights reserved.

关键词： Functions

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Median Filtering Detection Based on Quaternion Convolutional Neural Network

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Computers, Materials & Continua 2020年第10期65卷 929-943页

作者： Jinwei Wang Qiye Ni Yang Zhang Xiangyang Luo Yunqing Shi Jiangtao Zhai Sunil Kr Jha Jiangsu Collaborative Innovation Center of Atmospheric Environment and Equipment Technology Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory of Mathematical Engineering and Advanced Computing Zhengzhou450001China Department of Computer and Software Nanjing University of Information Science&TechnologyNanjing210044China State Key Laboratory of Information Security Institute of Information EngineeringChinese Academy of SciencesBeijing100093China Department of Electrical Computer Engineering New Jersey Institute of TechnologyNew JerseyNJ07102USA

Median filtering is a nonlinear signal processing technique and has an advantage in the field of image ***,more attention has been paid to the forensics research of median *** this paper,a median filtering forensics method based on quaternion convolutional neural network(QCNN)is *** median filtering residuals(MFR)are used to preprocess the *** the output of MFR is expanded to four channels and used as the input of *** QCNN,quaternion convolution is designed that can better mix the information of different channels than traditional *** quaternion pooling layer is designed to evaluate the result of quaternion *** is proposed to features well combine the three-channel information of color image and fully extract forensics *** show that the proposed method has higher accuracy and shorter training time than the traditional convolutional neural network with the same convolution depth.

关键词： Median filtering forensics quaternion convolution layer quaternion pooling layer color image

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Defense strategy selection method for Stackelberg security game based on incomplete information 2019

Defense strategy selection method for Stackelberg security g...

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2019 International Conference on Artificial Intelligence and Computer Science, AICS 2019

作者： Ge, Xiaoyue Zhou, Tianyang Zang, Yichao State Key Laboratory of Mathematical Engineering and Advanced Computing Information and Engineering University Zhengzhou China

ISBN: (纸本)9781450371506

Network attack and defense confrontation is essentially a game process between unequal subjects on both sides of attack and defense. There are some defects in the prior hypothesis that the subject status of both sides of the attack and defense game is equal and the active defense ability is insufficient in the research of the existing network defense strategy. In this paper, game theory unequal thought and defender active release incentive technology into network defense strategy generation model construction process, and a Stackelberg Security Game defense strategy generation method based on incomplete information is proposed. By establishing the network model, the strong equilibrium strategy algorithm of Stackelberg Security Game with incomplete information is used to generate the optimal defense strategy of the network. The defender can actively release the incentive strategy without reducing the accuracy of defense strategy generation. The experimental results provide a method for the selection of optimal defense strategy, and can strengthen the security of the system. © 2019 Association for computing Machinery.

关键词： Game theory

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Exploration and Research of Blended Learning in the“ Principles of Computer Organization”

Exploration and Research of Blended Learning in the“ Princi...

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IEEE International Conference on Computer Science and Educational Informatization (CSEI)

作者： Yifan Hou Wei Wang Fudong Liu Zheng Shan Junchao Wang Lixin Wang State Key Laboratory of Mathematical Engineering and Advanced Computing Information Engineering University Zhengzhou China

ISBN: (数字)9781728170084

ISBN: (纸本)9781728170091

The“Principles of Computer Organization” is the core basic course for the construction of computer hardware courses. In this paper, it analyzes the characteristics of the “Principles of Computer Organization “Aiming at the challenges faced by the traditional teaching. This paper makes a beneficial exploration on the teaching reform of the Principle of Computer Composition based on the blended learning mode from the aspects of teaching content, teaching method transformation, interactive communication, evaluation and assessment, etc. This paper proposes a framework for self-learning ability training based on a blended learning model, which is applied and formed in the course of principles. Teaching practice shows that the reform of teaching mode and teaching practice not only stimulates learning interest and motivation of students, but also improves their self-learning ability and practical ability.

关键词： Education Conferences Computer science Organizations Handheld computers Voltage control

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