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检索条件"机构=School of Data and Computer Science and Guangdong Key Lab. of Information Security and Technology"
260 条 记 录,以下是41-50 订阅
UniCell:Universal Cell Nucleus Classification via Prompt Learning
arXiv
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arXiv 2024年
作者: Huang, Junjia Li, Haofeng Wan, Xiang Li, Guanbin School of Computer Science and Engineering Sun Yat-sen University Guangzhou China Shenzhen Research Institute of Big Data The Chinese University of Hong Kong Shenzhen China GuangDong Province Key Laboratory of Information Security Technology China
The recognition of multi-class cell nuclei can significantly facilitate the process of histopathological diagnosis. Numerous pathological datasets are currently availab.e, but their annotations are inconsistent. Most ... 详细信息
来源: 评论
Inserting anybody in diffusion models via celeb basis  23
Inserting anybody in diffusion models via celeb basis
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Proceedings of the 37th International Conference on Neural information Processing Systems
作者: Ge Yuan Xiaodong Cun Yong Zhang Maomao Li Chenyang Qi Xintao Wang Ying Shan Huicheng Zheng School of Computer Science and Engineering Sun Yat-sen University and Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China and Guangdong Key Laboratory of Information Security Technology and Tencent AI Lab Tencent AI Lab The Hong Kong University of Science and Technology School of Computer Science and Engineering Sun Yat-sen University and Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China and Guangdong Key Laboratory of Information Security Technology
Exquisite demand exists for customizing the pretrained large text-to-image model, e.g. Stable Diffusion, to generate innovative concepts, such as the users themselves. However, the newly-added concept from previous cu...
来源: 评论
DarkFed: A data-Free Backdoor Attack in Federated Learning
arXiv
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arXiv 2024年
作者: Li, Minghui Wan, Wei Ning, Yuxuan Hu, Shengshan Xue, Lulu Zhang, Leo Yu Wang, Yichen School of Software Engineering Huazhong University of Science and Technology China National Engineering Research Center for Big Data Technology and System China Services Computing Technology and System Lab China Hubei Engineering Research Center on Big Data Security China Hubei Key Laboratory of Distributed System Security China School of Cyber Science and Engineering Huazhong University of Science and Technology China School of Computer Science and Technology Huazhong University of Science and Technology China School of Information and Communication Technology Griffith University Australia
Federated learning (FL) has been demonstrated to be susceptible to backdoor attacks. However, existing academic studies on FL backdoor attacks rely on a high proportion of real clients with main task-related data, whi... 详细信息
来源: 评论
Deep Feature Surgery: Towards Accurate and Efficient Multi-Exit Networks
arXiv
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arXiv 2024年
作者: Gong, Cheng Chen, Yao Luo, Qiuyang Lu, Ye Li, Tao Zhang, Yuzhi Sun, Yufei Zhang, Le College of Software Nankai University China College of Computer Science Nankai University China National University of Singapore Singapore School of Information and Communication Engineering University of Electronic Science and Technology of China China HAIHE Lab of ITAI China Tianjin Key Laboratory of Network and Data Security Technology China Key Laboratory of Data and Intelligent System Security Ministry of Education
Multi-exit network is a promising architecture for efficient model inference by sharing backbone networks and weights among multiple exits. However, the gradient conflict of the shared weights results in sub-optimal a... 详细信息
来源: 评论
View-decoupled Transformer for Person Re-identification under Aerial-ground Camera Network
View-decoupled Transformer for Person Re-identification unde...
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Conference on computer Vision and Pattern Recognition (CVPR)
作者: Quan Zhang Lei Wang Vishal M. Patel Xiaohua Xie Jianhuang Lai School of Computer Science and Engineering Sun Yat-Sen University China Department of Electrical and Computer Engineering Johns Hopkins University USA Pazhou Lab (HuangPu) Guangdong China Guangdong Province Key Laboratory of Information Security Technology Guangdong China Key Laboratory of Machine Intelligence and Advanced Computing Ministry of Education China
Existing person re-identification methods have achieved remarkable advances in appearance-based identity association across homogeneous cameras, such as ground-ground matching. However, as a more practical scenario, a... 详细信息
来源: 评论
Cell Graph Transformer for Nuclei Classification
arXiv
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arXiv 2024年
作者: Lou, Wei Li, Guanbin Wan, Xiang Li, Haofeng Shenzhen Research Institute of Big Data Shenzhen China The Chinese University of Hong Kong Shenzhen China School of Computer Science and Engineering Sun Yat-sen University Guangzhou China GuangDong Province Key Laboratory of Information Security Technology China
Nuclei classification is a critical step in computer-aided diagnosis with histopathology images. In the past, various methods have employed graph neural networks (GNN) to analyze cell graphs that model inter-cell rela... 详细信息
来源: 评论
VFGCN: A Vertical Federated Learning Framework With Privacy Preserving for Graph Convolutional Network
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IEEE Transactions on Dependable and Secure Computing 2025年
作者: Wang, Gang Li, Qingming Liu, Ximeng Yan, Xiaoran Dong, Qingkuan Wu, Huiwen Kong, Xiangjie Zhou, Li Zhejiang Lab HangZhou310000 China Zhejiang University College of Computer Science and Technology Hangzhou310058 China Fuzhou University Key Laboratory of Information Security of Network Systems College of Computer and Big Data Fuzhou350108 China Xidian University State Key Laboratory of Integrated Services Networks Xi'an710071 China Zhejiang University of Technology College of Computer Science and Technology Hangzhou310023 China Dalian University of Technology School of Software Dalian116620 China
Due to the robust representational capabilities of graph data, employing graph neural networks for its processing has demonstrated superior performance over conventional deep learning algorithms. Graph data encompasse... 详细信息
来源: 评论
EFFICIENT ONLINE lab.L CONSISTENT HASHING FOR LARGE-SCALE CROSS-MODAL RETRIEVAL
EFFICIENT ONLINE LABEL CONSISTENT HASHING FOR LARGE-SCALE CR...
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2021 IEEE International Conference on Multimedia and Expo, ICME 2021
作者: Yi, Jinhan Liu, Xin Cheung, Yiu-Ming Xu, Xing Fan, Wentao He, Yi Department of Computer Science and Technology Huaqiao University Xiamen361021 China Xiamen Key Lab. of Computer Vision and Pattern Recognition Fujian Key Lab. of Big Data Intelligence and Security China Department of Computer Science Hong Kong Baptist University Kowloon Hong Kong School of Computer Science and Engineering University of Electronic Science and Technology of China China Provincial Key Laboratory for Computer Information Processing Technology Soochow University China
Existing cross-modal hashing still faces three challenges: (1) Most batch-based methods are unsuitable for processing large-scale and streaming data. (2) Current online methods often suffer from insufficient semantic ... 详细信息
来源: 评论
FedPHE: A Secure and Efficient Federated Learning via Packed Homomorphic Encryption
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IEEE Transactions on Dependable and Secure Computing 2025年
作者: Li, Yuqing Yan, Nan Chen, Jing Wang, Xiong Hong, Jianan He, Kun Wang, Wei Li, Bo Wuhan University Key Laboratory of Aerospace Information Security and Trusted Computing Ministry of Education School of Cyber Science and Engineering Wuhan430072 China Wuhan University RiZhao Information Technology Institute Rizhao276800 China Huazhong University of Science and Technology National Engineering Research Center for Big Data Technology and System Services Computing Technology and System Lab/Cluster and Grid Computing Lab School of Computer Science and Technology Wuhan430074 China Shanghai Jiao Tong University School of Cyber Science and Engineering Shanghai200240 China Hong Kong University of Science and Technology Department of Computer Science and Engineering Hong Kong
Cross-silo federated learning (FL) enables multiple institutions (clients) to collab.ratively build a global model without sharing private data. To prevent privacy leakage during aggregation, homomorphic encryption (H... 详细信息
来源: 评论
Semi-Supervised Image Captioning Considering Wasserstein Graph Matching
arXiv
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arXiv 2024年
作者: Yang, Yang The Nanjing University of Science and Technology Nanjing210094 China PCA Lab Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education Jiangsu Key Lab of Image and Video Understanding for Social Security School of Computer Science and Engineering Nanjing University of Science and Technology China Ministry of Education State Key Lab. for Novel Software Technology Nanjing University China
Image captioning can automatically generate captions for the given images, and the key challenge is to learn a mapping function from visual features to natural language features. Existing approaches are mostly supervi... 详细信息
来源: 评论