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检索条件"机构=Key Laboratory of Data and Intelligent System Security"
1022 条 记 录,以下是321-330 订阅
排序:
Correlation effects on topological structure in complex network evolution
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Physica A: Statistical Mechanics and its Applications 2025年 671卷
作者: Chen, Xiaojie Qiao, Weile Pan, Guijun School of physics Hubei University Hubei Wuhan430062 China Key Laboratory of Intelligent Sensing System and Security Hubei University Ministry of Education Hubei Wuhan430062 China
Network growth model is an important and popular research topic aimed at uncovering the mechanisms of network formation and evolution. Most growth models focus on two key mechanisms: growth and preferential attachment... 详细信息
来源: 评论
Size-Invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection  41
Size-Invariance Matters: Rethinking Metrics and Losses for I...
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41st International Conference on Machine Learning, ICML 2024
作者: Li, Feiran Xu, Qianqian Bao, Shilong Yang, Zhiyong Cong, Runmin Cao, Xiaochun Huang, Qingming Institute of Information Engineering Chinese Academy of Sciences Beijing China School of Cyber Security University of Chinese Academy of Sciences Beijing China Key Laboratory of Intelligent Information Processing Institute of Computing Technology Chinese Academy of Sciences Beijing China School of Computer Science and Technology University of Chinese Academy of Sciences Beijing China Institute of Information Science Beijing Jiaotong University Beijing China School of Control Science and Engineering Shandong University Jinan China Key Laboratory of Machine Intelligence and System Control Ministry of Education Jinan China School of Cyber Science and Tech. Sun Yat-sen University Shenzhen Campus China Key Laboratory of Big Data Mining and Knowledge Management Chinese Academy of Sciences Beijing China
This paper explores the size-invariance of evaluation metrics in Salient Object Detection (SOD), especially when multiple targets of diverse sizes co-exist in the same image. We observe that current metrics are size-s... 详细信息
来源: 评论
A Recommendation system Based on Adaptive Genetic Algorithm for Enclosed Spaces  6
A Recommendation System Based on Adaptive Genetic Algorithm ...
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6th International Symposium on Autonomous systems, ISAS 2023
作者: Guo, Meng Chen, Songhang Wang, Yaozong Fujian Normal University College of Computer and Cyber Security Fuzhou China Fujian Institute of Research on the Structure of Matter Chinese Academy of Sciences Department of Quanzhou Institute of Equipment Manufacturing Quanzhou China Fujian Provincial Key Laboratory of Intelligent Identification and Control of Complex Dynamic System Department of Quanzhou Institute of Equipment Manufacturing Quanzhou China
Most of the management systems used in common enclosed spaces only have basic functions such as booking and payment, and do not have epidemic prevention and traceability functions. In the COVID-19 pandemic, enclosed s... 详细信息
来源: 评论
Robustness May be at Odds with Stability in Adversarial Training based Feature Selection?
Robustness May be at Odds with Stability in Adversarial Trai...
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IEEE International Conference on data Mining (ICDM)
作者: Yue Liu Yun Li Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing China
As an important stage in machine learning pipeline, feature selection techniques are mainly used to improve the generalization performance and training efficiency of machine learning model, but few works have focused ... 详细信息
来源: 评论
A Novel Path Planning Algorithm for Multi-Agent Collaboration in Finite Space
A Novel Path Planning Algorithm for Multi-Agent Collaboratio...
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IEEE International Conference on Communication and Information systems (ICCIS)
作者: Yihan Xu Tian Cao Xiaotong Shi Manchester Metropolitan Joint Institute Hubei University Wuhan China Ministry of Education Key Laboratory of Intelligent Sensing System and Security (Hubei University) School of Artificial Intelligence HuBei University Wuhan China
Multi-agent collaboration can complete tasks that are difficult for a single agent to handle, making a big difference on the battlefield, in healthcare, and in other domains. Effective path planning is an important fa... 详细信息
来源: 评论
The Power of Bamboo: On the Post-Compromise security for Searchable Symmetric Encryption  30
The Power of Bamboo: On the Post-Compromise Security for Sea...
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30th Annual Network and Distributed system security Symposium, NDSS 2023
作者: Chen, Tianyang Xu, Peng Picek, Stjepan Luo, Bo Susilo, Willy Jin, Hai Liang, Kaitai National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab China Hubei Key Laboratory of Distributed System Security Hubei Engineering Research Center on Big Data Security School of Cyber Science and Engineering China Cluster and Grid Computing Lab School of Computer Science and Technology China Huazhong University of Science and Technology Wuhan430074 China Digital Security Group Radboud University Nijmegen Netherlands Department of EECS Institute of Information Sciences The University of Kansas LawrenceKS United States Institute of Cybersecurity and Cryptology School of Computing and Information Technology University of Wollongong WollongongNSW2522 Australia Faculty of Electrical Engineering Mathematics and Computer Science Delft University of Technology Delft2628 CD Netherlands
Dynamic searchable symmetric encryption (DSSE) enables users to delegate the keyword search over dynamically updated encrypted databases to an honest-but-curious server without losing keyword privacy. This paper studi...
来源: 评论
LogPal: A Generic Anomaly Detection Scheme of Heterogeneous Logs for Network systems
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security and Communication Networks 2023年 第1期2023卷
作者: Sun, Lei Xu, Xiaolong Jiangsu Key Laboratory of Big Data Security & Intelligent Processing Nanjing University of Posts and Telecommunications Nanjing210023 China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing210023 China
As a key resource for diagnosing and identifying problems, network syslog contains vast quantities of information. And it is the main source of data for anomaly detection of systems. Syslog presents the characteristic... 详细信息
来源: 评论
DBSSL: A Scheme to Detect Backdoor Attacks in Self-Supervised Learning Models
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IEEE Transactions on Dependable and Secure Computing 2025年
作者: Huang, Yuxian Yang, Geng Yuan, Dong Yu, Shui Nanjing University of Posts and Telecommunication College of Computer Science and Software China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing China University of Sydney School of Electrical and Information Engineering Australia University of Technology Sydney School of Computer Science Australia
Recently, self-supervised learning has garnered significant attention for its ability to extract high-quality features from unlabeled data. However, existing research indicates that backdoor attacks can pose significa... 详细信息
来源: 评论
Dafl: Domain Adaptation-Based Federated Learning for Privacy-Preserving Biometric Recognition
SSRN
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SSRN 2023年
作者: Wang, Zhousheng Yang, Geng Dai, Hua Bai, Yunlu School of Computer Science Nanjing University of Posts and Telecommunications Nanjing210023 China Jiangsu Key Laboratory of Big data Security & Intelligent Processing Nanjing210023 China
With the introduction of data protection regulation in various countries, traditional centralized learning for the exploitation of sensitive biological information will gradually become unsustainable. We take face and... 详细信息
来源: 评论
MNN: Mixed Nearest-Neighbors for Self-Supervised Learning
arXiv
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arXiv 2023年
作者: Long, Xianzhong Peng, Chen Li, Yun School of Computer Science Nanjing University of Posts and Telecommunications Nanjing210023 China Jiangsu Key Laboratory of Big Data Security and Intelligent Processing Nanjing210023 China
In contrastive self-supervised learning, positive samples are typically drawn from the same image but in different augmented views, resulting in a relatively limited source of positive samples. An effective way to all... 详细信息
来源: 评论