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Model architecture level privacy leakage in neural networks

Science China(Information Sciences) 2024年第3期67卷 20-32页

作者： Yan LI Hongyang YAN Teng HUANG Zijie PAN Jiewei lai Xiaoxue ZHANG Kongyang CHEN Jin LI Institute of Artificial Intelligent and Blockchain Guangzhou University Pazhou Lab

Privacy leakage is one of the most critical issues in machine learning and has attracted growing interest for tasks such as demonstrating potential threats in model attacks and creating model *** recent years, numerous studies have revealed various privacy leakage risks(e.g., data reconstruction attack, membership inference attack, backdoor attack, and adversarial attack) and several targeted defense approaches(e.g., data denoising, differential privacy, and data encryption). However, existing solutions generally focus on model parameter levels to disclose(or repair) privacy threats during the model training and/or model interference process, which are rarely applied at the model architecture level. Thus, in this paper, we aim to exploit the potential privacy leakage at the model architecture level through a pioneer study on neural architecture search(NAS) paradigms which serves as a powerful tool to automate a neural network *** investigating the NAS procedure, we discover two attack threats in the model architecture level called the architectural dataset reconstruction attack and the architectural membership inference attack. Our theoretical analysis and experimental evaluation reveal that an attacker may leverage the output architecture of an ongoing NAS paradigm to reconstruct its original training set, or accurately infer the memberships of its training set simply from the model architecture. In this work, we also propose several defense approaches related to these model architecture attacks. We hope our work can highlight the need for greater attention to privacy protection in model architecture levels(e.g., NAS paradigms).

关键词： neural architecture search data reconstruction attack membership inference attack

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Interpenetrating network-reinforced gel polymer electrolyte for ultra-stable lithium−iodine batteries

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Carbon Energy 2024年第6期6卷 234-247页

作者： Ying Jiang Peng Huang Minman Tong Bingxin Qi Tao Sun Zhongyun Xian Wen Yan Chao lai School of Chemistry and Materials Science Jiangsu Normal UniversityXuzhouJiangsuChina

Li-I_(2) batteries have attracted much interest due to their high capacity,exceptional rate performance,and low *** so,the problems of unstable Li anode/electrolyte interface and severe polyiodide shuttle in Li-I_(2) batteries need to be ***,the interfacial reactions on the Li anode and I_(2) cathode have been effectively optimized by employing a well-designed gel polymer electrolyte strengthened by cross-linked Ti-O/Si-O(GPETS).The interpenetrating network-reinforced GPETS with high ionic conductivity(1.88×10^(-3)S cm^(-1)at 25℃)and high mechanical strength endows uniform Li deposition/stripping over 1800 h(at 1.0mA cm^(-2),with a plating capacity of 3.0mAh cm^(-2)).Moreover,the GPETS abundant in surface hydroxyls is capable of capturing soluble polyiodides at the interface and accelerating their conversion kinetics,thus synergistically mitigating the shuttle *** from these properties,the use of GPETS results in a high capacity of 207 mAh g^(-1)(1 C)and an ultra-low fading rate of 0.013%per cycle over 2000 cycles(5 C).The current study provides new insights into advanced electrolytes for Li-I_(2) batteries.

关键词： electrode/electrolyte interface gel polymer electrolytes lithium dendrites lithium−iodine batteries polyiodide shuttle

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Revealing the role of CCoAOMT1: fine-tuning bHLH transcription factors for optimal anther development

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Science China(Life Sciences) 2024年第3期67卷 565-578页

作者： Zesen lai Jianzheng Wang Ying Fu Menghan Wang Hong Ma Shiqing Peng Fang Chang State Key Laboratory of Genetic Engineering Ministry of Education Key Laboratory of Biodiversity Sciences and Ecological Engineering and Institute of Biodiversity SciencesInstitute of Plant BiologySchool of Life SciencesFudan UniversityShanghai 200438China School of Tropical Agriculture and Forestry Agriculture-Rural Affairs and Rural RevitalizationHainan UniversityHaikou 570228China Key Laboratory of Biology and Genetic Resources of Tropical Crops Ministry of AgricultureInstitute of Tropical Bioscience and BiotechnologyChinese Academy of Tropical Agricultural SciencesHaikou 571101China Department of Biology Huck Institutes of the Life SciencesPennsylvania State UniversityUniversity ParkPA 16802USA

The tapetum,a crucial innermost layer encompassing male reproductive cells within the anther wall,plays a pivotal role in normal pollen *** transcription factors (TFs) bHLH010/089/091 redundantly facilitate the rapid nuclear accumulation of DYSFUNCTIONAL TAPETUM 1,a gatekeeper TF in the ***,the regulatory mechanisms governing the activity of bHLH010/089/091 remain *** this study,we reveal that caffeoyl coenzyme A O-methyltransferase 1 (CCoAOMT1) is a negative regulator affecting the nuclear localization and function of bHLH010 and bHLH089,probably through their K259 *** findings underscore that CCoAOMT1 promotes the nuclear export and degradation of bHLH010 and ***,elevated CCoAOMT1 expression resulted in defective pollen development,mirroring the phenotype observed in bhlh010 bhlh089 ***,our investigation revealed that the K259A mutation in the bHLH089 protein disrupted its translocation from the nucleus to the cytosol and impeded its degradation induced by ***,transgenic plants with the probHLH089::bHLH089^(K259A)construct failed to rescue proper pollen development or gene expression in bhlh010 bhlh089 ***,these findings emphasize the need to maintain balanced TF homeostasis for male *** firmly establish CCoAOMT1 as a pivotal regulator that is instrumental in achieving equilibrium between the induction of the tapetum transcriptional network and ensuring appropriate anther development.

关键词： anther development nuclear localization bHLH O-methyltransferase transcription factor homeostasis

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Semitransparent Organic Solar Cells with Superior Thermal/Light Stability and Balanced Efficiency and Transmittance

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Energy & Environmental Materials 2024年第4期7卷 215-222页

作者： Zhipeng Yin Huan Zhao Yang Liu Xunwen Xiao Yong Zhang Huahang lai Ning Li Hai-Qiao Wang School of Materials Science and Engineering Ningbo Tech University State Key Laboratory of Luminescent Materials and Devices Institute of Polymer Optoelectronic Materials and Devices School of Materials Science and Engineering South China University of Technology Ningbo University of Technology Ningbo Institute of Technology Beihang University Hangna Nanofabrication Equipment Co. Ltd.

Semitransparent organic solar cells show attractive potential in the application of building-integrated photovoltaics,agrivoltaics,floating photovoltaics,and wearable electronics,as their multiple functionalities of e... 详细信息

关键词： organic solar cell semitransparent thermal/light stability

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A deep convolutional neural network for diabetic retinopathy detection via mining local and long-range dependence

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CAAI Transactions on Intelligence Technology 2024年第1期9卷 153-166页

作者： Xiaoling Luo Wei Wang Yong Xu Zhihui lai Xiaopeng Jin Bob Zhang David Zhang Shenzhen Key Laboratory of Visual Object Detection and Recognition Harbin Institute of TechnologyShenzhenChina Peng Cheng Laboratory ShenzhenChina Shenzhen Institute of Artificial Intelligence and Robotics for Society ShenzhenChina College of Big Data and Internet Shenzhen Technology UniversityShenzhenChina The Department of Computer and Information Science University of MacaoMacaoMacaoChina The Chinese University of Hong Kong(Shenzhen) ShenzhenChina

Diabetic retinopathy(DR),the main cause of irreversible blindness,is one of the most common complications of *** present,deep convolutional neural networks have achieved promising performance in automatic DR detection *** convolution operation of methods is a local cross-correlation operation,whose receptive field de-termines the size of the local neighbourhood for ***,for retinal fundus photographs,there is not only the local information but also long-distance dependence between the lesion features(*** and exudates)scattered throughout the whole *** proposed method incorporates correlations between long-range patches into the deep learning framework to improve DR ***-wise re-lationships are used to enhance the local patch features since lesions of DR usually appear as *** Long-Range unit in the proposed network with a residual structure can be flexibly embedded into other trained *** experimental results demon-strate that the proposed approach can achieve higher accuracy than existing state-of-the-art models on Messidor and EyePACS datasets.

关键词： image classification medical image processing pattern recognition

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Progress and Implications from Genetic Studies of Bipolar Disorder

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Neuroscience Bulletin 2024年第8期40卷 1160-1172页

作者： Lingzhuo Kong Yiqing Chen Yuting Shen Danhua Zhang Chen Wei Jianbo lai Shaohua Hu Department of Psychiatry the First Affiliated HospitalZhejiang University School of MedicineHangzhou310003China The Key Laboratory of Mental Disorder Management in Zhejiang Province Hangzhou310003China Brain Research Institute of Zhejiang University Hangzhou310003China Zhejiang Engineering Center for Mathematical Mental Health Hangzhou310003China Department of Neurobiology NHC and CAMS Key Laboratory of Medical NeurobiologySchool of Brain Science and Brian Medicineand MOE Frontier Science Center for Brain Science and Brain-machine IntegrationZhejiang University School of MedicineHangzhou310003China

With the advancements in gene sequencing technologies,including genome-wide association studies,polygenetic risk scores,and high-throughput sequencing,there has been a tremendous advantage in mapping a detailed blueprint for the genetic model of bipolar disorder(BD).To date,intriguing genetic clues have been identified to explain the development of BD,as well as the genetic association that might be applied for the development of susceptibility prediction and pharmacogenetic *** genes of BD,such as CACNA1C,ANK3,TRANK1,and CLOCK,have been found to be involved in various pathophysiological processes correlated with *** the specific roles of these genes have yet to be determined,genetic research on BD will help improve the prevention,therapeutics,and prognosis in clinical *** latest preclinical and clinical studies,and reviews of the genetics of BD,are analyzed in this review,aiming to summarize the progress in this intriguing field and to provide perspectives for individualized,precise,and effective clinical practice.

关键词： Bipolar disorder Genetics Risk gene Genome-wide association study Sequencing technology

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Tunnel bottleneck management with high-occupancy vehicle priority on intelligent freeways

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Transportation Safety and Environment 2024年第2期6卷 87-95页

作者： Jinyong Gao Juncheng Zeng Xinyuan Wang Cheng Zhou Hailin Zhang Jintao lai Fujian Express way Group Co. LtdFuzhou 350000FujianChina Fujian Express way Science&Technology Innovation Research Institute Co. LtdFuzhou 350000FujianChina Beijing Baidu Netcom Science Technology Co. LtdBeijing 100000China Key Laboratory of Road and Traffic Engineering of the Ministry of Education Tongji UniversityShanghai 201804China

Tunnels on freeways,as one of the critical bottlenecks,frequently cause severe congestion and passenger *** solve the tunnel bottleneck problem,most of the existing research can be divided into two *** is to adopt variable speed limits(VSLs)to regulate a predetermined speed for vehicles to get through a bottleneck *** other is to adopt high-occupancy vehicle(HOV)lane *** HOV lane management strategies,all traffic is divided into HOVs and low-occupancy vehicles(LOVs).HOVs are vehicles with a driver and one or more *** are vehicles with only a *** kind of research can grant priority to HOVs by providing a dedicated HOV ***,the existing research cannot both mitigate congestion and maximize passenger-oriented *** address the research gap,this paper leverages connected and automated vehicle(CAV)technologies on intelligent freeways and develops a tunnel bottleneck management strategy with a dynamic HOV lane(DHL).The strategy bears the following features:1)enables tunnel bottleneck management at a microscopic level;2)maximizes passenger-oriented benefits;3)grants priority to HOVs even when the HOV lane is open to LOVs;4)allocates right-of-way segments for HOVs and LOVs in real time;and 5)performs well in a mixed-traffic *** proposed strategy is evaluated through comparison against the non-control baseline and a VSL *** analysis is conducted under different congestion levels and penetration *** results demonstrate that the proposed strategy outperforms in terms of passenger-oriented delay reduction and HOVs’priority level improvement.

关键词： tunnel bottleneck high-occupancy vehicle(HOV) intelligent freeways right-of-way segment

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Consumer-branch Connectivity Identification of Low Voltage Distribution Networks Based on Data-driven Approach

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Protection and Control of Modern Power Systems 2024年第4期9卷 69-82页

作者： Yongjun Zhang Yingqi Yi Wenyang Deng Siliang Liu lai Zhou Kaidong Lin Yongzhi Cai the School of Electric Power Engineering and Guangdong Key Laboratory of Clean Energy Technology South China Uni-versity of TechnologyGuangzhou 510641China the School of Elec-tric Power Engineering South China University of TechnologyGuangzhou 510641China the Guangzhou Panyu vocational and technical college Guangzhou 511483China the Metrology Center Guangdong Power Company Grid Qingyuan 511500China

Accurate topological information is crucial in supporting the coordinated operational requirements of source-load-storage in low-voltage distribution *** coverage of smart meters provides a database for low-voltage topology identification(LVTI).However,because of electricity theft,power line commu-nication crosstalk,and interruption of communication,the measurement data may be *** can seriously affect the performance of LVTI ***,this paper defines hidden errors and proposes an LVTI method based on layer-by-layer stepwise *** the first step,a multi-linear regression model is developed for consumer-branch connectivity identification based on the energy conservation *** the second step,a significance factor based on the t-test is proposed to modify the identification results by considering the hidden *** the third step,the regression model and significance threshold parameters are iteratively updated layer by layer to improve the recall rate of the final identification ***,simulations of a test system with 63 users are carried out,and the practical application results show that the proposed method can guarantee over 90%precision under the influence of hidden errors.

关键词： Data driven hidden error linear re-gression low voltage distribution network topology identification

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An Updated Lagrangian Particle Hydrodynamics (ULPH)-NOSBPD Coupling Approach forModeling Fluid-Structure Interaction Problem

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Computer Modeling in Engineering & Sciences 2024年第10期141卷 491-523页

作者： Zhen Wang Junsong Xiong Shaofan Li Xin lai Xiang Liu Lisheng Liu Hubei Key Laboratory of Theory and Application of Advanced Materials Mechanics Wuhan University of TechnologyWuhan430070China Department of Civil and Environmental Engineering The University of CaliforniaBerkeleyCA 94720USA Department of Engineering Structure and Mechanics Wuhan University of TechnologyWuhan430070China

A fluid-structure interaction approach is proposed in this paper based onNon-Ordinary State-Based Peridynamics(NOSB-PD)and Updated Lagrangian Particle Hydrodynamics(ULPH)to simulate the fluid-structure interaction problem with large geometric deformation and material failure and solve the fluid-structure interaction problem of Newtonian *** the coupled framework,the NOSB-PD theory describes the deformation and fracture of the solid material *** is applied to describe the flow of Newtonian fluids due to its advantages in computational *** framework utilizes the advantages of NOSB-PD theory for solving discontinuous problems and ULPH theory for solving fluid problems,with good computational stability and robustness.A fluidstructure coupling algorithm using pressure as the transmission medium is established to deal with the fluidstructure *** dynamic model of solid structure and the PD-ULPH fluid-structure interaction model involving large deformation are verified by numerical *** results agree with the analytical solution,the available experimental data,and other numerical ***,the accuracy and effectiveness of the proposed method in solving the fluid-structure interaction problem are *** fluid-structure interactionmodel based on ULPH and NOSB-PD established in this paper provides a new idea for the numerical solution of fluidstructure interaction and a promising approach for engineering design and experimental prediction.

关键词： Fluid-structure interaction(FSI) updated lagrangian particle hydrodynamics peridynamics meshfree method

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Investigation of pore structure alteration and permeability enhancement of shale matrix by supercritical water treatment after hydraulic fracturing

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Petroleum 2024年第2期10卷 265-274页

作者： Yili Kang Peisong Li Wangkun Cao Mingjun Chen Lijun You Jiang Liu Zhehan lai State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation Southwest Petroleum University Institute of Engineering Technology PetroChina Coalbed Methane Company Limited Chemical and Petroleum Engineering University of Calgary

Shale gas reservoirs are unconventional tight gas reservoirs, in which horizontal wells and hydraulic fracturing are required to achieve commercial development. The fracture networks created by hydraulic fracturing can increase the drainage area extensively to enhance shale gas recovery. However, large volumes of fracturing fluid that is difficult to flow back to the surface and remained in the shale formation, will inevitably lead to damages of the shale formations and limit the effectiveness of *** water(SCW) treatment after hydraulic fracturing is a new method to enhance shale gas recovery by using appropriate heat treatment methods to the specific formation to convert the retained fracturing fluid into a supercritical state(at temperatures in excess of 373.946°C and pressures in excess of 22.064 MPa). An experiment was conducted to simulate the reaction between shale and SCW, and the capacity of SCW treatment to enhance the permeability of the shale was evaluated by measuring the response of the shale porosity and permeability on SCW treatment. The experimental results show that the shale porosity and permeability increase by 213.43% and 2198.37%, respectively. The pore structure alteration and permeability enhancement of the shale matrix were determined by analyzing the changes in pore structure and mineral composition after SCW treatment. The mechanisms that affect pore structure and mineral composition include oxidative catalysis decomposition of organic matters and reducing minerals, acid-catalyzed decomposition of carbonate minerals and feldspar minerals, hydrothermal catalysis induced fracture extension and cementation weakening induced fracture *** treatment converts harm into a benefit by reducing the intrusion of harmful substances into the shale formation, which will broaden the scope and scale of shale formation stimulation.

关键词： Shale gas Formation damage control Formation heat treatment Supercritical water

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