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Publication search results
found 240 matches
- 2024
- Albert Katchborian-Neto, Matheus F. Alves, Paula C. P. Bueno, Karen de Jesus Nicácio, Miller S. Ferreira, Tiago B. Oliveira, Henrique Barbosa, Michael Murgu, Ana C. C. de Paula Ladvocat, Danielle F. Dias, Marisi G. Soares, João Henrique Ghilardi Lago, Daniela A Chagas-Paula:
Integrative open workflow for confident annotation and molecular networking of metabolomics MSE/DIA data. Briefings Bioinform. 25(2) (2024) - Elmehdi Illi, Marwa K. Qaraqe, Saud Althunibat, Abdullah Al-Hasanat, Moath Alsafasfeh, Marcus de Ree, Georgios Mantas, Jonathan Rodriguez, Waqas Aman, Saif Al-Kuwari:
Physical Layer Security for Authentication, Confidentiality, and Malicious Node Detection: A Paradigm Shift in Securing IoT Networks. IEEE Commun. Surv. Tutorials 26(1): 347-388 (2024) - Yifan Xie, Jihua Zhu, Shiqi Li, Naiwen Hu, Pengcheng Shi:
HECPG: Hyperbolic Embedding and Confident Patch-Guided Network for Point Cloud Matching. IEEE Trans. Geosci. Remote. Sens. 62: 1-12 (2024) - Praveen Verma, Chandan Chakraborty:
High Impact Local Load Redistribution Attack Without Confidential Network Information. IEEE Trans. Smart Grid 15(2): 2383-2386 (2024) - Rongwu Xu, Zhixuan Fang:
Tempo: Confidentiality Preservation in Cloud-Based Neural Network Training. CoRR abs/2401.11531 (2024) - Chhavi Yadav, Amrita Roy Chowdhury, Dan Boneh, Kamalika Chaudhuri:
FairProof : Confidential and Certifiable Fairness for Neural Networks. CoRR abs/2402.12572 (2024) - Mengyuan Li, Shashvat Srivastava, Mengjia Yan:
Bridge the Future: High-Performance Networks in Confidential VMs without Trusted I/O devices. CoRR abs/2403.03360 (2024) - 2023
- Arijus Pleska:
Privacy-preserving Learning by Averaging in Collaborative Networks. (Calcul des Moyennes dans des Réseaux Collaboratifs pour l'Apprentissage Automatique et Préservant la Confidentialité). University of Lille, France, 2023 - Sandesh Achar, Nuruzzaman Faruqui, Anusha Bodepudi, Manjunath Reddy:
Confimizer: A Novel Algorithm to Optimize Cloud Resource by Confidentiality-Cost Trade-Off Using BiLSTM Network. IEEE Access 11: 89205-89217 (2023) - Carly A. Bobak, Yifan Zhao, Joshua J. Levy, A. James O'Malley:
GRANDPA: GeneRAtive network sampling using degree and property augmentation applied to the analysis of partially confidential healthcare networks. Appl. Netw. Sci. 8(1): 23 (2023) - Trupti Shripad Tagare, Rajashree Narendra:
Confidentiality Enhancement Using Spread Spectrum Modulation Technique for Aggregated Data in Wireless Sensor Networks. J. Commun. 18(5): 294-300 (2023) - Yunzhi Xia, Xianjun Deng, Lingzhi Yi, Shenghao Liu, Laurence T. Yang, Chenlu Zhu, Xiao Tang:
A Trust-Based Reliable Confident Information Coverage Model of Wireless Sensor Networks for Intelligent Transportation. IEEE Trans. Veh. Technol. 72(7): 9542-9554 (2023) - Ziheng Xiao, Xianjun Deng, Hongwei Lu, Yunzhi Xia, Xiaoxuan Fan, Lingzhi Yi, Laurence T. Yang:
Tensor and Confident Information Coverage Based Reliability Evaluation for Large-Scale Intelligent Transportation Wireless Sensor Networks. IEEE Trans. Veh. Technol. 72(10): 13461-13473 (2023) - Zhaokui Li, Xu Huo, Yan Wang, Zihui Jiang, Ke Bi, Fengyuan Yang:
Dual Confident Learning-based Network for Hyperspectral Image Classification with Noisy Labels. AIMLR 2023: 18:1-18:5 - Htet Htet Hlaing, Hitoshi Asaeda:
Ensuring Content Integrity and Confidentiality in Information-Centric Secure Networks. CCNC 2023: 810-816 - Sandip A. Kahate, Atul D. Raut:
An Enhanced Data Confidentiality in Online Social Networks Using Quantum Key Management with a Blockchain Approach. ICCCNT 2023: 1-6 - Moisés Felipe Silva, Andrea Sgambelluri, Alessandro Pacini, Francesco Paolucci, Andre Green, David Mascareñas, Luca Valcarenghi:
Confidential Detection of Multiple Failures in Optical Networks: an Experimental Evaluation. OFC 2023: 1-3 - Dingji Li, Zeyu Mi, Chenhui Ji, Yifan Tan, Binyu Zang, Haibing Guan, Haibo Chen:
Bifrost: Analysis and Optimization of Network I/O Tax in Confidential Virtual Machines. USENIX Annual Technical Conference 2023: 1-15 - Lin Hu, Jiabing Fan, Hong Wen, Jie Tang, Qianbin Chen:
Confidential Signal Cancellation Phenomenon in Interference Alignment Networks: Cause and Cure. CoRR abs/2305.19574 (2023) - 2022
- Renato Caminha Juaçaba-Neto:
Privacy-aware aggregation of IoT streams in multi-owner networks. (Agrégation de flux de données IoT confidentiels dans des réseaux multi-propriétaires). University of Strasbourg, France, 2022 - Mohamed Amine Brahimi, Fatiha Merazka:
Data confidentiality-preserving schemes for random linear network coding-capable networks. J. Inf. Secur. Appl. 66: 103136 (2022) - Moisés Felipe Silva, Andrea Sgambelluri, Alessandro Pacini, Francesco Paolucci, Andre Green, David Mascareñas, Luca Valcarenghi:
Confidentiality-preserving machine learning algorithms for soft-failure detection in optical communication networks. JOCN 15(8): C212-C222 (2022) - Jonathan Hehir, Aleksandra B. Slavkovic, Xiaoyue Niu:
Consistent Spectral Clustering of Network Block Models under Local Differential Privacy. J. Priv. Confidentiality 12(2) (2022) - Hui Zhang, Junxin Chen, Leo Yu Zhang, Chong Fu, Raffaele Gravina, Giancarlo Fortino, Zhihan Lv:
Low-Cost and Confidential ECG Acquisition Framework Using Compressed Sensing and Chaotic Systems for Wireless Body Area Network. IEEE J. Biomed. Health Informatics 26(12): 5783-5792 (2022) - Xianjun Deng, Yuan Tian, Lingzhi Yi, Laurence Tianruo Yang, Yunzhi Xia, Xiao Tang, Chenlu Zhu:
Resilient Deployment of Smart Nodes for Improving Confident Information Coverage in 5G IoT. ACM Trans. Sens. Networks 18(3): 44:1-44:21 (2022) - Oleksandr Lemeshko, Oleksandra Yeremenko, Amal Mersni, Juraj Gazda:
Improvement of Confidential Messages Secure Routing over Paths with Intersection in Cyber Resilient Networks. ICAT 2022: 1-6 - Wensheng Tian, Ruiyan Xia, Zhichao Yan, Panpan Tang, Yonggang Tu, Lei Zhang:
Enhancing Intellectual Property Protection in Deep Neural Network with Confidential Computing. SmartWorld/UIC/ScalCom/DigitalTwin/PriComp/Meta 2022: 635-640 - Laurens Sluijterman, Eric Cator, Tom Heskes:
Confident Neural Network Regression with Bootstrapped Deep Ensembles. CoRR abs/2202.10903 (2022) - Stanislav Fort, Ekin Dogus Cubuk, Surya Ganguli, Samuel S. Schoenholz:
What does a deep neural network confidently perceive? The effective dimension of high certainty class manifolds and their low confidence boundaries. CoRR abs/2210.05546 (2022) - 2021
- Chien-Hung Yeh, Bo-Yin Wang, Wei-Hung Hsu, Wen-Piao Lin, Chi-Wai Chow:
Symmetry 28 Gbps/λ WDM Access Network Together With Confidential Connection Between Two Specific Clients. IEEE Access 9: 122738-122743 (2021)
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