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3rd International Conference on Machine Learning, Cloud Computing and Intelligent Mining, MLCCIM 2024

作者： Wu, Zhendong Li, Hu Zhang, Ming Lu, Shuaibing National Key Laboratory of Science and Technology on Information System Security Beijing China

ISBN: (纸本)9789819624676

Deep learning models are widely used in security-sensitive tasks such as facial recognition and autonomous driving. Security issues in deep models could have serious implications for people’s lives, such as life-threatening situations resulting from autonomous driving failures. To enhance the security of deep models, security testing is necessary before their formal deployment. Since different scenarios may involve different deep models, a security testing method that targets multiple scenarios would be more universally applicable. In this paper, we propose a security testing method for deep models that can be applied across multiple scenarios, primarily utilizing adversarial attacks to test the models. For the deep model under test, we first construct threat scenarios and then associate the model with datasets and adversarial attack methods. Subsequently, we generate adversarial examples to input into the deep model to check its accuracy in classification. Finally, we evaluate the success rate of adversarial attacks on the deep model. A high attack success rate indicates low model security, necessitating developers to employ adversarial training or other methods to enhance model security. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.

关键词： Adversarial machine learning

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FPGA Real-Time Deployment of Low-Complexity Volterra Equalizer Based on Pruning and Non-Uniform Quantization

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Journal of Lightwave technology 2025年第9期43卷 4183-4192页

作者： Sun, Xinda Wang, Kaihui Zhu, Zonghui Zhang, Long Gou, Yumeng Meng, Yuanxiao Chen, Yun Yu, Jianjun Fudan University Department of Communication Science and Engineering State Key Laboratory of ASIC and System Key Laboratory for Information Science of Electromagnetic Waves School of Information Science and Technology Shanghai 200433 China Fudan University Shanghai200433 China

Electronic nonlinear equalization technology is a promising signal impairments compensation technique with great development potential and wide application scenarios. However, its high complexity makes it challenging to implement in field-programmable gate array (FPGA). We propose a low-complexity real-time nonlinear equalization scheme based on FPGA, which can provide similar performance as traditional schemes but only occupies very low digital signal processing (DSP) resources. With the help of this scheme, by using pruning and non-uniform quantization, the computational complexity of a Volterra equalizer with 15 linear taps and 25 nonlinear taps is comparable to that of a Volterra equalizer with 8 linear taps and 4 nonlinear taps. By non-uniformly quantizing the taps of the equalizer, the quantization accuracy can be saved compared to uniform quantization, and after the taps are quantized, complex multiplication can be replaced by simple shift operations, simplifying the complexity of multiplication operations. The scheme of weight pruning and non-uniform quantization significantly reduces the required hardware resources and power consumption. We verify the proposed scheme in a decision-directed Volterra (DD-Volterra) equalizer, The equalizer was successfully deployed in a 230.4 MHz xcvu9pflgb2104-2-I Xilinx FPGA and achieved real-time IM/DD transmission of 29.4912 Gbit/s PAM4 signals over 25 km standard single-mode fiber (SSMF), meeting the 3.8 × 10-3 hard-decision forward error correction (HD-FEC) standard. The results show that the proposed low-complexity Volterra equalizer scheme can reduce DSP resources by up to 75.3% and power consumption by 26.2%. © 1983-2012 IEEE.

关键词： Forward error correction

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DMF: A Deep Multimodal Fusion-Based network Traffic Classification Model

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Computers, Materials & Continua 2025年第5期83卷 2267-2285页

作者： Xiangbin Wang Qingjun Yuan Weina Niu Qianwei Meng Yongjuan Wang Chunxiang Gu Henan Key Laboratory of Network Cryptography Technology Information Engineering UniversityZhengzhou450001China School of Computer Science and Engineering University of Electronic Science and Technology of ChinaChengdu611731China

With the rise of encrypted traffic,traditional network analysis methods have become less effective,leading to a shift towards deep learning-based *** these,multimodal learning-based classification methods have gained attention due to their ability to leverage diverse feature sets from encrypted traffic,improving classification ***,existing research predominantly relies on late fusion techniques,which hinder the full utilization of deep features within the *** address this limitation,we propose a novel multimodal encrypted traffic classification model that synchronizes modality fusion with multiscale feature ***,our approach performs real-time fusion of modalities at each stage of feature extraction,enhancing feature representation at each level and preserving inter-level correlations for more effective *** continuous fusion strategy improves the model’s ability to detect subtle variations in encrypted traffic,while boosting its robustness and adaptability to evolving network *** results on two real-world encrypted traffic datasets demonstrate that our method achieves a classification accuracy of 98.23% and 97.63%,outperforming existing multimodal learning-based methods.

关键词： Deep fusion intrusion detection multimodal learning network traffic classification

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Side-channel free quantum digital signature with source monitoring

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Chinese Physics B 2025年第1期34卷 53-58页

作者： Luo-Jia Ma Ming-Shuo Sun Chun-Hui Zhang Hua-Jian Ding Xing-Yu Zhou Jian Li Qin Wang Institute of Quantum Information and Technology Nanjing University of Posts and TelecommunicationsNanjing 210003China Broadband Wireless Communication and Sensor Network Technology Key Laboratory of Ministry of EducationNanjing University of Posts and TelecommunicationsNanjing 210003China

Quantum digital signature(QDS)can guarantee the information-theoretical security of a signature with the fundamental laws of quantum ***,most current QDS protocols do not take source security into account,leading to an overestimation of the signature *** this paper,we propose to utilize Hong–Ou–Mandel interference to characterize the upper bound of the source imperfections,and further to quantify information leakage from potential ***,we combine decoy-state methods and finite-size analysis in analyzing the signature *** results demonstrate the performance and feasibility of our *** current work can improve the practical security of QDS systems,thereby promoting their further networked applications.

关键词： Hong-Ou-Mandel interference side-channel free quantum digital signature

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Impacts of Land–Atmosphere Coupling on Summer Extreme Hot-Humid Compound Events over Southern Eurasia under Different Sea Surface Temperature Backgrounds

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Advances in Atmospheric Sciences 2025年第4期42卷 744-760页

作者： Yajing QI Haishan CHEN Siguang ZHU State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science and TechnologyNanjing 210044China School of Atmospheric Sciences Nanjing University of Information Science and TechnologyNanjing 210044China

Land–atmosphere coupling and sea surface temperature(SST)anomalies both have essential impacts on weather and climate *** on the ERA5 reanalysis dataset and the CESM1.2.2 model,this study investigates the influence of land–atmosphere coupling on summer extreme hot-humid events(EHHE)over southern Eurasia under different SST *** results suggest that coupling causes near-surface air temperature increases that exceed 0.5℃.From 1961 to 2020,the frequency of EHHE has continuously increased,and is closely related to soil moisture anomalies in the northern Indian Peninsula(IDP)and the middle and lower reaches of the Yangtze River(YRB).Numerical simulations further demonstrate that land–atmosphere coupling raises the risk of EHHE by 25.4%.In a typical El Niño SST background state,intensified land–atmosphere coupling tends to produce notable increases in the frequency of *** dominant processes that land–atmosphere coupling affects the EHHE variations are evidently different between these two *** surface thermal anomalies predominate in the IDP,while moisture conditions are more critical in the *** warm SST anomalies exist,dry soil anomalies in the IDP are prominent,and evaporation is constrained,increasing sensible heat *** geopotential height anomalies are significant,combined with adiabatic warming induced by descending motion and a noticeable warm center in the near-surface *** southward shift of the westerly jet enhances divergence over *** anticyclonic circulation anomalies over the western Pacific are conducive to guiding moisture transport to the YRB,providing a favorable circulation background for the development of summer EHHE.

关键词： land-atmosphere coupling sea surface temperature extreme hot-humid events southern Eurasia

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Three-dimension collision-free trajectory planning of UAVs based on ADS-B information in low-altitude urban airspace

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Chinese Journal of Aeronautics 2025年第2期38卷 274-285页

作者： Chao DONG Yifan ZHANG Ziye JIA Yiyang LIAO Lei ZHANG Qihui WU The Key Laboratory of Dynamic Cognitive System of Electromagnetic Spectrum Space Ministry of Industry and Information TechnologyNanjing University of Aeronautics and AstronauticsNanjing 210016China National Mobile Communications Research Laboratory Southeast UniversityNanjing 211111China

The environment of low-altitude urban airspace is complex and variable due to numerous obstacles,non-cooperative aircraft,and *** Aerial Vehicles(UAVs)leveraging environmental information to achieve three-dimension collision-free trajectory planning is the prerequisite to ensure airspace ***,the timely information of surrounding situation is difficult to acquire by UAVs,which further brings security *** a mature technology leveraged in traditional civil aviation,the Automatic Dependent Surveillance-Broadcast(ADS-B)realizes continuous surveillance of the information of ***,we leverage ADS-B for surveillance and information broadcasting,and divide the aerial airspace into multiple sub-airspaces to improve flight safety in UAV trajectory *** detail,we propose the secure Sub-airSpaces Planning(SSP)algorithm and Particle Swarm Optimization Rapidly-exploring Random Trees(PSO-RRT)algorithm for the UAV trajectory planning in law-altitude *** performance of the proposed algorithm is verified by simulations and the results show that SSP reduces both the maximum number of UAVs in the sub-airspace and the length of the trajectory,and PSO-RRT reduces the cost of UAV trajectory in the sub-airspace.

关键词： Three-dimension trajectory planning of UAV Collision avoidance Sliding window ADS-B Low-altitude urban airspace

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A Novel Finite Mixture Model Based on the Generalized t Distributions with Two-Sided Censored Data

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Annals of Data Science 2025年第1期12卷 341-379页

作者： Guan, Ruijie Rong, Yaohua Cheng, Weihu Xin, Zhenyu Key Laboratory of Network Information System Technology Aerospace Information Research Institute Chinese Academy of Sciences Beijing100094 China Faculty of Science Beijing University of Technology Beijing100124 China Master of management EBS Universität für Wirtschaft und Recht Oestrich-Winkel65375 Germany

In light of the rapid technological advancements witnessed in recent decades, numerous disciplines have been inundated with voluminous datasets characterized by multimodality, heavy-tailed distributions, and prevalent missing information. Consequently, the task of effectively modeling such intricate data poses a formidable yet indispensable challenge. This paper endeavors to address this challenge by introducing a novel finite mixture model predicated upon the generalized t distribution, tailored specifically to accommodate two-sided censored observations, thereby establishing a foundational framework for modeling this complex data structure. To facilitate parameter estimation within this model, we devise a variant of the EM-type algorithm, amalgamating the profile likelihood approach with the classical Expectation Conditional Maximization algorithm. Notably, this hybridized methodology affords analytical expressions in the E-step and a tractable M-step, thereby substantially enhancing computational expediency and efficiency. Furthermore, we furnish closed-form expressions delineating the observed information matrix, pivotal for approximating the asymptotic covariance matrix of the MLEs within this mixture model. To empirically evaluate the efficacy of the proposed algorithm, a series of simulation studies are conducted, demonstrating promising performance across various artificial datasets. Additionally, the practical applicability of the proposed methodology is elucidated through its deployment on two real-world datasets, thereby underscoring its feasibility and utility in practical settings. © The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024.

关键词： Expectation maximization algorithm

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Evaluation of occlusion immunities of free-space orbital angular momentum shift keying

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Optics Express 2025年第6期33卷 13494-13505页

作者： Yang, Jinyu Zhang, Shurui Li, Lang Gao, Mingwei Gao, Chunqing Fu, Shiyao School of Optics and Photonics Beijing Institute of Technology Beijing100081 China Key Laboratory of Information Photonics Technology Ministry of Industry and Information Technology of the People’s Republic of China Beijing100081 China Key Laboratory of Photoelectronic Imaging Technology and System Ministry of Education of the People’s Republic of China Beijing100081 China National Key Laboratory on Near-Surface Detection Beijing100072 China

Orbital angular momentum (OAM) provides a new high-dimensional degree-of-freedom for lasers enabling high-dimensional shift keying, thus showing huge potential in free-space optical data-transmissions. Ensuring the accuracy of data transmission is of concern in any communication system. However, in the free-space OAM shift keying link, interferences from environmental occlusions will broaden the OAM spectrum and thus affect the correctness of information received. In this paper, the occlusion immunities of two commonly used OAM shift keying strategies—OAM-encoding-symbols and OAM-encoding-bits—are evaluated under different occlusion scenarios. We introduce radial, azimuthal, and random occlusions into the link and then analyze the bit error rate (BER) of various OAM shift keying strategies. The results illustrate that the strategy of OAM-encoding-symbols exhibits stronger occlusion immunity with zero BER than OAM-encoding-bits. Moreover, proof-of-concept experiments are done to transmit grayscale images under occlusions. The final decoding results show identical data-transmission performance with simulations. © 2025 Optica Publishing Group under the terms of the Optica Open Access Publishing Agreement.

关键词： Bit error rate

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More trust in networks,more secure keys

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Light(Science & Applications) 2025年第1期14卷 18-19页

作者： Guan-Jie Fan-Yuan Shuang Wang CAS Key Laboratory of Quantum Information University of Science and Technology of China230026HefeiChina Anhui Province Key Laboratory of Quantum Network University of Science and Technology of China230026HefeiChina CAS Center for Excellence in Quantum Information and Quantum Physics University of Science and Technology of China230026HefeiChina Hefei National Laboratory University of Science and Technology of China230088HefeiChina

A novel continuous-variable quantum passive optical network is proposed in which a user can increase their key rate by trusting other *** is because the keys,which would be discarded to remove correlations with untrus... 详细信息

关键词： network passive networks

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Enhanced influence of the North Atlantic Oscillation on winter snowfall in northern China since 2000

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Science China Earth Sciences 2025年第4期68卷 1236-1244页

作者： Botao ZHOU Chuer GUO Yuepeng HU Wenxin XIE Bo SUN Tingting HAN Ning SHI State Key Laboratory of Climate System Prediction and Risk Management/Key Laboratory of Meteorological Disaster Ministry of Education/Collaborative Innovation Center on Forecast and Evaluation of Meteorological DisastersNanjing University of Information Science and TechnologyNanjing210044China School of Atmospheric Sciences Nanjing University of Information Science and TechnologyNanjing210044China Zhejiang Meteorological Observatory Hangzhou310002China

Because of the profound impacts of snowfall in northern China on the economy society and human lives,it is essential to understand the physical mechanisms behind the variability of snowfall in this *** on the observational and reanalysis data during 1961–2018,this study examines the relationship of winter snowfall over northern China with the North Atlantic Oscillation(NAO).The results show that their relationship experiences an interdecadal change around *** 2000–2018,the NAO is significantly and negatively correlated to winter snowfall in northern *** the NAO is in the negative phase,the East Asian subtropical jet and polar front jet tend to move northward and southward,respectively,concomitant with an anomalous cyclonic circulation from Lake Balkhash to Lake Baikal in the middle and lower *** an atmospheric background favors the increase of snowfall over northern China by empowering the interactions of cold air with moist airflows in the target ***,during 1981–1999,the association of the NAO with the above atmospheric circulations seems inconspicuous,thereby reducing its relation to winter snowfall in northern *** investigation suggests that the enhancement of the connection between the NAO and aforementioned atmospheric circulations may result from the westward displacement of the NAO southern center from the former period to the latter period.

关键词： Winter snowfall Northern China North Atlantic Oscillation Interdecadal change Atmospheric circulations

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