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2024 International Conference on Computer Vision and Deep Learning, CVDL 2024

作者： Liu, Daocheng Fu, Yanyun Shi, Wenxi Zhu, Zhansheng Wang, Deyong School of Computer Science and Technology Urumqi China Beijing Academy of Science and Technology Beijing China Key Laboratory of Big Data of Xinjiang Social Security Risk Urumqi China

ISBN: (纸本)9798400718199

At present, the most popular unsupervised person re-identification(Re-ID) research mainly uses some clustering methods to gather samples with similar features and generate a pseudo-label for each cluster, and uses the parameterless contrast loss to feedback correlation information between *** previous methods used the memory dictionary to store all instance-dependent features, but This approach does not take into account the different number of positive samples in each cluster, and the progress of each cluster update of the memory dictionary is not the *** order to improve the consistency of the update progress, a method is implemented to store the central feature vector in each cluster, but using a hard-sample feature vector in the cluster to update it, so that a single instance feature cannot represent the central feature well. In this article, we study out a method to combine hard instance contrast and cluster contrast, that is, the central feature vector in each cluster is stored in the memory dictionary, and the hard instance feature vector in each cluster is also stored *** addition, in terms of momentum update, the central feature vector and hard instance feature vector of each cluster in mini-batch are used for *** not only solves the problem of inconsistent update progress, but also better learns the similarity and difference of instances in the same cluster, and better aggregates instances within cluster and instances between clusters. Through three dataset experiments, it is concluded that this method has a good improvement. © 2024 ACM.

关键词： Vectors

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A Blockchain of Blockchains Structure Based on Asset Trading Scheme

A Blockchain of Blockchains Structure Based on Asset Trading...

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2023 IEEE International Conference on Dependable, Autonomic and Secure Computing, 2023 International Conference on Pervasive Intelligence and Computing, 2023 International Conference on Cloud and big data Computing, 2023 International Conference on Cyber science and technology Congress, DASC/PiCom/CBDCom/CyberSciTech 2023

作者： Huang, Siyuan Chen, Yuling Tan, Chaoyue Dou, Hui Luo, Yun Yang, Yuxiang College of Computer Science and Technology Guizhou University State Key Laboratory of Public Big Data Guiyang China

ISBN: (纸本)9798350304602

In the realm of blockchain applications, the issue of value isolation, commonly referred to as the value island problem, imposes inherent limitations on the applicability of corresponding assets. To overcome this challenge, researchers have dedicated their efforts to exploring diverse solutions for facilitating cross-chain transactions involving various assets. These solutions include centralized exchanges and hash time lock protocols. However, these approaches are subject to significant limitations. Centralized exchanges, while providing transactional functionalities, undermine the decentralized nature intrinsic to blockchain technology. Conversely, hash time lock protocols necessitate a high level of trust between transacting parties. Furthermore, although decentralized exchanges have emerged to support atomic cross-chain exchanges, their transactional architectures are restricted to either a bilateral relationship between two blockchains or a subset of pre-established blockchains. Therefore, the construction of a non-trust-based, decentralized exchange that supports multiple blockchain networks remains an ongoing challenge. In this research, we propose Vchain, a cross-chain relay transaction scheme, designed with a BoBs(Blockchain of Blockchains) structure, to address the aforementioned challenges. Vchain enables the participation of various accounts within blockchain ecosystems that support smart contract functionalities. It ensures the security and integrity of user transactions by leveraging third-party cryptocurrency assets as collateral. Moreover, users have the flexibility to selectively choose transaction counterparties based on the quantity of collateral assets provided, thereby maximizing their transactional interests. Consequently, Vchain enables non-trust-based, multi-chain asset cross-chain transactions, addressing the limitations of existing solutions. © 2023 IEEE.

关键词： Blockchain

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Robust Object Detection Based on a Comparative Learning Perspective

Robust Object Detection Based on a Comparative Learning Pers...

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作者： Yang, Hao Chen, Yuling Dou, Hui Luo, Yun Tan, Chaoyue Zhang, Yangwen College of Computer Science and Technology Guizhou University State Key Laboratory of Public Big Data Guiyang China

ISBN: (纸本)9798350304602

With the advent of adversarial samples, the safety of Artificial Intelligence is of particular concern, as only a small amount of perturbation can be added to mislead a model's judgment. Therefore there is an urgent need for research on models that can resist adversarial perturbations. To alleviate this problem, we first analyze the vulnerability of adversarial samples and propose a uniform perspective robust model for object detection that accurately identifies both clean and ad-versarial samples. We propose a robust object detection based on the contrastive learning perspective (RCP), which can learn features from both clean and adversarial samples from a fine-grained perspective, and can recognize adversarial samples more accurately. Extensive experiments on PASCAL VOC and MS COCO show that our proposed method only degrades the clean sample detection performance by a small amount in exchange for a large robustness improvement against adversarial attacks, achieving state of the art results. © 2023 IEEE.

关键词： Object detection

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A High Capacity Combined Carrier Steganography Without Embedding Image

A High Capacity Combined Carrier Steganography Without Embed...

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作者： Zhang, Yangwen Chen, Yuling Dou, Hui Luo, Yun Tan, Chaoyue Xiong, Maolin College of Computer Science and Technology Guizhou University State Key Laboratory of Public Big Data Guiyang China

ISBN: (纸本)9798350304602

The technique of image steganography is the embedding of secret information into the carrier image by means of algorithms that are widely used in the field of information transmission, but steganalysis tools built with traditional steganographic algorithms can easily identify them. The technique of steganography without embedding (SWE) is the mapping of the secret information onto the noise and the generation of an image by mapping the noise of the secret information. This SWE technique is difficult to find without directly using secret information. But the capacity of secret information is less and the extraction accuracy is low when the SWE is currently hidden. Therefore, a steganography without embedding technique for carrier secret information is proposed in this paper based on the above problems. Initially, the secret information is mapped into the carrier noise, which can increase the secret information capacity of steganography and improve the accuracy of extracting information. Finally, the effectiveness and generality of the design method will be verified by experiments. © 2023 IEEE.

关键词： Embeddings

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Realizing n-type CdSb with promising thermoelectric performance

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Journal of Materials science & technology 2023年第13期144卷 54-61页

作者： Peng Zhao Honghao Yao Shizhen Zhi Xiaojing Ma Zuoxu Wu Yijie Liu Xinyu Wang Li Yin Zongwei Zhang Shuaihang Hou Xiaodong Wang Siliang Chen Chen Chen Xi Lin Haoliang Liu Xingjun Liu Feng Cao Qian Zhang Jun Mao School of Materials Science and Engineering and Institute of Materials Genome&Big DataHarbin Institute of Technology(Shenzhen)Shenzhen 518055China School of Science Harbin Institute of Technology(Shenzhen)Shenzhen 518055China State Key Laboratory of Advanced Welding and Joining Harbin Institute of TechnologyHarbin 150001China

Realizing high performance in both n-type and p-type materials is essential for designing efficient ther-moelectric ***,the doping bottleneck is often encountered,i.e.,only one type of conduction can be *** one example,p-type CdSb with high thermoelectric performance has been discovered for several decades,while its n-type counterpart has rarely been *** this work,the calculated band structure of CdSb demonstrates that the valley degeneracy is as large as ten for the conduction band,and it is only two for the valence ***,the n-type CdSb can potentially realize an ex-ceptional thermoelectric ***,the n-type conduction has been successfully real-ized by tuning the stoichiometry of *** further doping indium at the Cd site,an improved room-temperature electron concentration has been *** modeling predicts an optimal electron con-centration of∼2.0×1019 cm−3,which is higher than the current experimental ***,future optimization of the n-type CdSb should mainly focus on identifying practical approaches to optimize the electron concentration.

关键词： Thermoelectric materials n-type CdSb Indium doping Band degeneracy

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Adversarial Attack Method Based on Dual- frequency Domain Transformation

Adversarial Attack Method Based on Dual- frequency Domain Tr...

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作者： Xiong, Maolin Chen, Yuling Dou, Hui Luo, Yun Tan, Chaoyue Zhang, Yangwen College of Computer Science and Technology Guizhou University State Key Laboratory of Public Big Data Guiyang China

ISBN: (纸本)9798350304602

Deep neural network is vulnerable to adversarial samples, which means altering the image subtly to introduce errors into the neural network model. Adversarial samples can categorize into black-box and white-box attacks, white-box attacks have been able to achieve a high success rate, but the performance of black-box attacks is weak due to the large gap between the substitute model and the victim model. Previously, the way to enhance the substitute model is image transformations on the spatial domain, to simulate different victim models. However, these methods lead to weak transferability, because it can not generate diverse enhanced models. To solve this problem, we propose a dual-frequency-domain transform attack based on DCT(Discrete Cosine Transform) and DWT(Discrete Wavelet Transformation), proposed method optimizes the process of frequency-domain transform, which can greatly enhance the substitute models. Besides, our method can combine with others (gradient attack methods and spatial domain attack methods) to further enhance the attack effect. Experiments show that the attack success rate of our method is good in several mainstream no-defense models. © 2023 IEEE.

关键词： Neural network models

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A Multiple Indicator Credit Ranking Scheme Based on Notary Mechanism

A Multiple Indicator Credit Ranking Scheme Based on Notary M...

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作者： Chen, Lang Chen, Yuling Tan, Chaoyue Dou, Hui Luo, Yun Chen, Pengyu College of Computer Science and Technology Guizhou University State Key Laboratory of Public Big Data Guiyang China

ISBN: (纸本)9798350304602

Blockchain has penetrated multiple fields such as finance, healthcare, supply chain, and intelligent transportation. However, the value exchange between different independent blockchain systems limits the expansion of blockchain. Cross-chain technology can achieve the transfer of digital assets between blockchain networks, and the notary mechanism is a typical cross-chain technology that can achieve value exchange between different blockchains. However, it requires trust in specific notaries. To address these issues, this paper proposes a multi-indicator credit ranking scheme based on notaries to improve the reliability of notaries and ensure the security of value exchange between different blockchains. To tackle the problem of single and incomplete inherent value evaluation indicators in traditional notary mechanisms, a multi-indicator evaluation is adopted to ensure the fairness of notary node credit evaluation. To address the issue of inaccurate comprehensive credit evaluation of notaries, a comprehensive evaluation and ranking of notary nodes are conducted based on their historical transaction information to improve the accuracy of their credit evaluation. The experimental results show that using multiple indicators to evaluate the inherent value of notary nodes can comprehensively evaluate the scheme and accurately screen out high-credit nodes to act as notaries, improving the security of cross-chain asset transactions. © 2023 IEEE.

关键词： Blockchain

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An enhanced exponential distribution optimizer for solving task scheduling in cloud computing systems 4

An enhanced exponential distribution optimizer for solving t...

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4th International Conference on Advanced Algorithms and Neural Networks, AANN 2024

作者： Wu, Fengbin Li, Shaobo Wu, Libang Xiong, Xuan Xie, Rongxiang State Key Laboratory of Public Big Data Guizhou University China Guizhou Institute of Technology China College of Computer Science and Technology Guizhou University China

ISBN: (纸本)9781510686106

Cloud computing has become integral to information technology, offering a flexible and scalable way to access and utilize computing resources. In cloud computing, task scheduling policies can affect the resource usage efficiency of the underlying system. Hence, allocating user-input tasks to appropriate computing resources is an essential issue in cloud task scheduling. For this, many meta-heuristic algorithms have been introduced. This paper addresses the problem of cloud task scheduling using the exponential distribution optimizer (EDO) for the first time. Meanwhile, an enhanced EDO variant, called EEDO, is proposed to enhance the optimal solution search ability further. Specifically, a chaotic oppositional learning strategy is proposed to improve population diversity. Then, a guided solution weight adaptation technique is developed to augment the accuracy. Experimental findings indicate that the proposed EEDO makes better use of system resources for different tasks. Hence, EEDO can be considered as a promising scheduling method. © 2024 SPIE.

关键词： Scheduling algorithms

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Optimization of cloud computing task scheduling based on whale optimization algorithm with quasi-opposition-based and nonlinear factor 6

Optimization of cloud computing task scheduling based on wha...

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6th International Conference on Internet of Things, Automation and Artificial Intelligence, IoTAAI 2024

作者： Xuan, Xiong Li, Shaobo Yu, Liya Wu, Fengbin Zhang, Xingxing An, Xue College of Computer Science and Technology Guizhou University State Key Laboratory of Public Big Data Guiyang550025 China Guizhou University State Key Laboratory of Public Big Data Guiyang550025 China Guizhou University College of Mechanical Engineering Guiyang550025 China

ISBN: (纸本)9798350386974

Task scheduling has a significant impact on the resource availability and operation cost of the system in cloud computing. In order to improve the efficiency of task execution in the cloud for a given computational resource, the improved whale optimization algorithm is applied to the multi-objective optimization model for cloud task scheduling. Specifically, the quasi-opposition-based learning strategy is added in the initiation phase to increase the diversity of the population. Meanwhile, a novel nonlinear convergence factor was introduced to augment the local search capability. Experimental results indicate that the improved whale optimization algorithm converges faster and searches with higher precision in finding the optimal task scheduling solution compared to existing meta-heuristic algorithms. In addition, the modified algorithm achieves superior system resource usage when dealing with both small and large tasks. © 2024 IEEE.

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Fine-Grained Access Control Proxy Re-encryption with HRA Security from Lattice 18th

Fine-Grained Access Control Proxy Re-encryption with HRA Se...

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18th International Conference on Green, Pervasive, and Cloud Computing, GPC 2023

作者： Hou, Jinqiu Peng, Changgen Tan, Weijie Zhong, Chongyi Niu, Kun Li, Hu State Key Laboratory of Public Big Data College of Computer Science and Technology Guizhou University Guiyang550025 China Key Laboratory of Advanced Manufacturing Technology Ministry of Education Guizhou University Guiyang550025 China School of Mathematics and Big data Guizhou Education University Guiyang550025 China

ISBN: (纸本)9789819998951

With the gradual formation of the cloud computing ecosystem, the value of cloud computing is becoming increasingly evident, and the accompanying information security issues have become core elements. The challenge lies in securely transmitting, computing, and sharing data in a cloud computing environment while keeping privacy. In this paper, we propose an access control proxy re-encryption scheme that supports inner product operations based on lattices in the standard model. First, the ciphertext is linked to the attributes, and condition for transition is associated with the re-encryption key. The proxy may re-encrypt ciphertext that meets attribute conditions instead of all ciphertext, thereby limiting the proxy’s conversion permissions. Furthermore, the user outputs the inner product value after decryption. Finally, honestly re-encryption attacks (HRA) security with increased CPA security is employed to better capture the target of proxy re-encryption. In addition, we propose a new method of hiding access policy, which uses differential privacy technology to perturb the attribute values to better safeguard the privacy of users. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd 2024.

关键词： Access control

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