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Zn(II)配位脂质体用于高效且血清耐受的基因转染 Zn(II)配位脂质体用于高效且血清耐受的基因转染
Q4 Engineering Pub Date : 2020-11-30 DOI: 10.3969/J.ISSN.0253-2778.2020.11.003
Elbayomi Smaher M 聂旋 邵琪 王海利 王飞 尤业字 周晓红
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引用次数: 0
Visible light induced Barton decarboxylation free of radical initiators 可见光诱导无自由基引发剂的Barton脱羧
Q4 Engineering Pub Date : 2020-11-30 DOI: 10.3969/J.ISSN.0253-2778.2020.11.004
Wang Jiaxin, Fu Mingchen
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引用次数: 1
Recent achievements in solution processed antimony selenosulfide solar cells 溶液法处理硒化锑太阳能电池的最新进展
Q4 Engineering Pub Date : 2020-11-30 DOI: 10.3969/J.ISSN.0253-2778.2020.11.002
Jia Chenhui, Tang Rongfeng, Zhu Changfei, Chen Tao
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引用次数: 0
Optimal time-locked trial strategy for software in the presence of piracy 存在盗版情况下软件的最优时效审判策略
Q4 Engineering Pub Date : 2020-10-31 DOI: 10.3969/J.ISSN.0253-2778.2020.10.004
Yang Feng, Lang Xiudong, A. Sheng
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引用次数: 0
Adversarial attack based countermeasures against deep learning side-channel attacks 基于对抗性攻击的对抗深度学习侧信道攻击的对策
Q4 Engineering Pub Date : 2020-10-31 DOI: 10.3969/J.ISSN.0253-2778.2020.10.006
Gu Ruizhe, Wang Ping, Zheng Mengce, Hu Honggang, Yu Nenghai
Numerous previous works have studied deep learning algorithms applied in the context of side-channel attacks, which demonstrated the ability to perform successful key recoveries. These studies show that modern cryptographic devices are increasingly threatened by side-channel attacks with the help of deep learning. However, the existing countermeasures are designed to resist classical side-channel attacks, and cannot protect cryptographic devices from deep learning based side-channel attacks. Thus, there arises a strong need for countermeasures against deep learning based side-channel attacks. Although deep learning has the high potential in solving complex problems, it is vulnerable to adversarial attacks in the form of subtle perturbations to inputs that lead a model to predict incorrectly. In this paper, we propose a kind of novel countermeasures based on adversarial attacks that is specifically designed against deep learning based side-channel attacks. We estimate several models commonly used in deep learning based side-channel attacks to evaluate the proposed countermeasures. It shows that our approach can effectively protect cryptographic devices from deep learning based side-channel attacks in practice. In addition, our experiments show that the new countermeasures can also resist classical side-channel attacks.
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引用次数: 2
Bayesian variable selection for proportional hazards model with current status data 基于当前状态数据的比例风险模型贝叶斯变量选择
Q4 Engineering Pub Date : 2020-10-31 DOI: 10.3969/J.ISSN.0253-2778.2020.10.003
Cui Di, Z. Weiping
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引用次数: 0
A literature review of enterprise green transformation from the perspective of complex social network and prospects 复杂社会网络视角下企业绿色转型的文献综述与展望
Q4 Engineering Pub Date : 2020-10-31 DOI: 10.3969/J.ISSN.0253-2778.2020.10.005
Wan Liang, Fan Wenpei, Wang Chengyuan, Wang Shanyong
{"title":"A literature review of enterprise green transformation from the perspective of complex social network and prospects","authors":"Wan Liang, Fan Wenpei, Wang Chengyuan, Wang Shanyong","doi":"10.3969/J.ISSN.0253-2778.2020.10.005","DOIUrl":"https://doi.org/10.3969/J.ISSN.0253-2778.2020.10.005","url":null,"abstract":"","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"69 1","pages":"1330"},"PeriodicalIF":0.0,"publicationDate":"2020-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"74505304","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 1
Sampling multivariate count variables with prespecified Pearson correlation using marginal regular vine copulas 抽样多元计数变量与预先指定的Pearson相关使用边际规则藤copula
Q4 Engineering Pub Date : 2020-10-31 DOI: 10.3969/J.ISSN.0253-2778.2020.10.002
Yu Zhenfei, H. Taizhong
{"title":"Sampling multivariate count variables with prespecified Pearson correlation using marginal regular vine copulas","authors":"Yu Zhenfei, H. Taizhong","doi":"10.3969/J.ISSN.0253-2778.2020.10.002","DOIUrl":"https://doi.org/10.3969/J.ISSN.0253-2778.2020.10.002","url":null,"abstract":"","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"1 1","pages":"1291"},"PeriodicalIF":0.0,"publicationDate":"2020-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86310811","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
Compressibility effect on shock-induced air/helium chevron interface evolution 可压缩性对激波诱导气氦界面演化的影响
Q4 Engineering Pub Date : 2020-10-31 DOI: 10.3969/J.ISSN.0253-2778.2020.10.001
Guo Xu, Zhai Zhigang, Luo Xisheng
{"title":"Compressibility effect on shock-induced air/helium chevron interface evolution","authors":"Guo Xu, Zhai Zhigang, Luo Xisheng","doi":"10.3969/J.ISSN.0253-2778.2020.10.001","DOIUrl":"https://doi.org/10.3969/J.ISSN.0253-2778.2020.10.001","url":null,"abstract":"","PeriodicalId":17548,"journal":{"name":"Journal of University of Science and Technology of China","volume":"90 1","pages":"1279"},"PeriodicalIF":0.0,"publicationDate":"2020-10-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80458341","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
引用次数: 0
A new generation mechanism of three-band chorus waves in the Earth’s magnetosphere 地球磁层中三波段合唱波的新一代机制
Q4 Engineering Pub Date : 2020-09-30 DOI: 10.3969/J.ISSN.0253-2778.2020.09.004
Cheng Rui, Gao Xinliang, Chen Huayue, Wang Shui
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引用次数: 0
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