Literatura académica sobre el tema "Adversarial Information Fusion"
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Artículos de revistas sobre el tema "Adversarial Information Fusion"
Kott, Alexander, Rajdeep Singh, William M. McEneaney y Wes Milks. "Hypothesis-driven information fusion in adversarial, deceptive environments". Information Fusion 12, n.º 2 (abril de 2011): 131–44. http://dx.doi.org/10.1016/j.inffus.2010.09.001.
Texto completoWu, Zhaoli, Xuehan Wu, Yuancai Zhu, Jingxuan Zhai, Haibo Yang, Zhiwei Yang, Chao Wang y Jilong Sun. "Research on Multimodal Image Fusion Target Detection Algorithm Based on Generative Adversarial Network". Wireless Communications and Mobile Computing 2022 (24 de enero de 2022): 1–10. http://dx.doi.org/10.1155/2022/1740909.
Texto completoYuan, C., C. Q. Sun, X. Y. Tang y R. F. Liu. "FLGC-Fusion GAN: An Enhanced Fusion GAN Model by Importing Fully Learnable Group Convolution". Mathematical Problems in Engineering 2020 (22 de octubre de 2020): 1–13. http://dx.doi.org/10.1155/2020/6384831.
Texto completoChen, Xiaoyu, Zhijie Teng, Yingqi Liu, Jun Lu, Lianfa Bai y Jing Han. "Infrared-Visible Image Fusion Based on Semantic Guidance and Visual Perception". Entropy 24, n.º 10 (21 de septiembre de 2022): 1327. http://dx.doi.org/10.3390/e24101327.
Texto completoJia Ruiming, 贾瑞明, 李彤 Li Tong, 刘圣杰 Liu Shengjie, 崔家礼 Cui Jiali y 袁飞 Yuan Fei. "Infrared Simulation Based on Cascade Multi-Scale Information Fusion Adversarial Network". Acta Optica Sinica 40, n.º 18 (2020): 1810001. http://dx.doi.org/10.3788/aos202040.1810001.
Texto completoSong, Xuhui, Hongtao Yu, Shaomei Li y Huansha Wang. "Robust Chinese Named Entity Recognition Based on Fusion Graph Embedding". Electronics 12, n.º 3 (22 de enero de 2023): 569. http://dx.doi.org/10.3390/electronics12030569.
Texto completoXu, Dongdong, Yongcheng Wang, Shuyan Xu, Kaiguang Zhu, Ning Zhang y Xin Zhang. "Infrared and Visible Image Fusion with a Generative Adversarial Network and a Residual Network". Applied Sciences 10, n.º 2 (11 de enero de 2020): 554. http://dx.doi.org/10.3390/app10020554.
Texto completoTang, Wei, Yu Liu, Chao Zhang, Juan Cheng, Hu Peng y Xun Chen. "Green Fluorescent Protein and Phase-Contrast Image Fusion via Generative Adversarial Networks". Computational and Mathematical Methods in Medicine 2019 (4 de diciembre de 2019): 1–11. http://dx.doi.org/10.1155/2019/5450373.
Texto completoHe, Gang, Jiaping Zhong, Jie Lei, Yunsong Li y Weiying Xie. "Hyperspectral Pansharpening Based on Spectral Constrained Adversarial Autoencoder". Remote Sensing 11, n.º 22 (18 de noviembre de 2019): 2691. http://dx.doi.org/10.3390/rs11222691.
Texto completoZhou-xiang Jin, Zhou-xiang Jin y Hao Qin Zhou-xiang Jin. "Generative Adversarial Network Based on Multi-feature Fusion Strategy for Motion Image Deblurring". 電腦學刊 33, n.º 1 (febrero de 2022): 031–41. http://dx.doi.org/10.53106/199115992022023301004.
Texto completoTesis sobre el tema "Adversarial Information Fusion"
KALLAS, KASSEM. "A Game-Theoretic Approach for Adversarial Information Fusion in Distributed Sensor Networks". Doctoral thesis, Università di Siena, 2017. http://hdl.handle.net/11365/1005735.
Texto completoBittner, Ksenia. "Building Information Extraction and Refinement from VHR Satellite Imagery using Deep Learning Techniques". Doctoral thesis, 2020. https://repositorium.ub.uni-osnabrueck.de/handle/urn:nbn:de:gbv:700-202003262703.
Texto completoCapítulos de libros sobre el tema "Adversarial Information Fusion"
Abrardo, Andrea, Mauro Barni, Kassem Kallas y Benedetta Tondi. "Adversarial Decision Fusion: A Heuristic Approach". En Information Fusion in Distributed Sensor Networks with Byzantines, 45–55. Singapore: Springer Singapore, 2020. http://dx.doi.org/10.1007/978-981-32-9001-3_4.
Texto completoNarute, Bharati y Prashant Bartakke. "Brain MRI and CT Image Fusion Using Generative Adversarial Network". En Communications in Computer and Information Science, 97–109. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-11349-9_9.
Texto completoWang, Huiying, Huixin Shen, Boyang Zhang, Yu Wen y Dan Meng. "Generating Adversarial Point Clouds on Multi-modal Fusion Based 3D Object Detection Model". En Information and Communications Security, 187–203. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-86890-1_11.
Texto completoYang, Dongxu, Yongbin Zheng, Peng Sun, Wanying Xu y Di Zhu. "A Generative Adversarial Network for Image Fusion via Preserving Texture Information". En Lecture Notes in Electrical Engineering, 4795–803. Singapore: Springer Nature Singapore, 2023. http://dx.doi.org/10.1007/978-981-19-6613-2_465.
Texto completoBallora, Mark, Nicklaus A. Giacobe, Michael McNeese y David L. Hall. "Information Data Fusion and Computer Network Defense". En Situational Awareness in Computer Network Defense, 141–64. IGI Global, 2012. http://dx.doi.org/10.4018/978-1-4666-0104-8.ch009.
Texto completoActas de conferencias sobre el tema "Adversarial Information Fusion"
Weerakoon, Dulanga, Kasthuri Jayarajah, Randy Tandriansyah y Archan Misra. "Resilient Collaborative Intelligence for Adversarial IoT Environments". En 2019 22th International Conference on Information Fusion (FUSION). IEEE, 2019. http://dx.doi.org/10.23919/fusion43075.2019.9011397.
Texto completoBostrom-Rost, Per, Daniel Axehill y Gustaf Hendeby. "Informative Path Planning in the Presence of Adversarial Observers". En 2019 22th International Conference on Information Fusion (FUSION). IEEE, 2019. http://dx.doi.org/10.23919/fusion43075.2019.9011193.
Texto completoVyavahare, Pooja, Lili Su y Nitin H. Vaidya. "Distributed Learning over Time-Varying Graphs with Adversarial Agents". En 2019 22th International Conference on Information Fusion (FUSION). IEEE, 2019. http://dx.doi.org/10.23919/fusion43075.2019.9011353.
Texto completoTomsett, Richard, Amy Widdicombe, Tianwei Xing, Supriyo Chakraborty, Simon Julier, Prudhvi Gurram, Raghuveer Rao y Mani Srivastava. "Why the Failure? How Adversarial Examples Can Provide Insights for Interpretable Machine Learning". En 2018 International Conference on Information Fusion (FUSION). IEEE, 2018. http://dx.doi.org/10.23919/icif.2018.8455710.
Texto completoKodipaka, Surya, Ajaya Dahal, Logan Smith, Nicholas Smith, Bo Tang, John E. Ball y Maxwell Young. "Adversarial indoor signal detection". En Signal Processing, Sensor/Information Fusion, and Target Recognition XXX, editado por Lynne L. Grewe, Erik P. Blasch y Ivan Kadar. SPIE, 2021. http://dx.doi.org/10.1117/12.2587525.
Texto completoGovaers, Felix y Paul Baggenstoss. "On a Detection Method of Adversarial Samples for Deep Neural Networks". En 2021 IEEE 24th International Conference on Information Fusion (FUSION). IEEE, 2021. http://dx.doi.org/10.23919/fusion49465.2021.9627060.
Texto completoCaballero, William, Mark A. Friend y Erik Blasch. "Adversarial machine learning and adversarial risk analysis in multi-source command and control". En Signal Processing, Sensor/Information Fusion, and Target Recognition XXX, editado por Lynne L. Grewe, Erik P. Blasch y Ivan Kadar. SPIE, 2021. http://dx.doi.org/10.1117/12.2589027.
Texto completoRanjit Ganta, Srivatsava y Raj Acharya. "On breaching enterprise data privacy through adversarial information fusion". En 2008 IEEE 24th International Conference on Data Engineeing workshop (ICDE Workshop 2008). IEEE, 2008. http://dx.doi.org/10.1109/icdew.2008.4498326.
Texto completoArnold, G., A. M. Fullenkamp, A. Bornstein, F. Morelli, T. Brown, P. Iyer, J. Lavery et al. "Research directions in remote detection of covert tactical adversarial intent of individuals in asymmetric operations". En 2010 13th International Conference on Information Fusion (FUSION 2010). IEEE, 2010. http://dx.doi.org/10.1109/icif.2010.5711892.
Texto completoZhang, Chongyang, Yu Qi y Hiroyuki Kameda. "Multi-scale perturbation fusion adversarial attack on MTCNN face detection system". En 2022 4th International Conference on Communications, Information System and Computer Engineering (CISCE). IEEE, 2022. http://dx.doi.org/10.1109/cisce55963.2022.9851024.
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