„adversarial deep learning“

Suchergebnisse

1.000+ Treffer

• Global Inverse Design across Multiple Photonic Structure Classes Using Generative Deep Learning (Advanced Optical Materials 20/2021)
  Yeung, Christopher ; Tsai, Ryan ; Pham, Benjamin ; King, Brian ; Kawagoe, Yusaku ; Ho, David ; Liang, Julia ; Knight, Mark W. ; Raman, Aaswath P.
• Multifunctional Metasurface Design with a Generative Adversarial Network (Advanced Optical Materials 5/2021)
  An, Sensong ; Zheng, Bowen ; Tang, Hong ; Shalaginov, Mikhail Y. ; Zhou, Li ; Li, Hang ; Kang, Myungkoo ; Richardson, Kathleen A. ; Gu, Tian ; Hu, Juejun ; Fowler, Clayton ; Zhang, Hualiang
• An Optically Transparent Transmissive Metasurface for User‐Defined Broadband Electromagnetic Illusion Generation
  Zhu, Peixuan ; Lu, Huan ; Han, Haoran ; Zhu, Rongrong ; Zhou, Wei ; Zhu, Shiqi ; Zheng, Bin ; Chen, Hongsheng
• Machine Learning and Multi-Modal Image Analysis for Image-Guided Therapy and Clinical Decision Support
  Nitsch, Jennifer ; Kikinis, Ron ; Preim, Bernhard 2020 Staats- und Universitätsbibliothek Bremen
• Improving Robustness of Perception DNNs in Various Domains
  Kapoor, Nikhil 2025 Shaker
• ChainLineNet: Deep-Learning-Based Segmentation and Parameterization of Chain Lines in Historical Prints
  Sindel, Aline ; Klinke, Thomas ; Maier, Andreas ; Christlein, Vincent 2021 Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)
• Independent attenuation correction of whole body [18F]FDG-PET using a deep learning approach with Generative Adversarial Networks
  Armanious, Karim ; Hepp, Tobias ; Küstner, Thomas ; Dittmann, Helmut ; Nikolaou, Konstantin ; Fougère, Christian La ; Yang, Bin ; Gatidis, Sergios
• Network and cybersecurity applications of defense in adversarial attacks: A state-of-the-art using machine learning and deep learning methods
  Khaleel, Yahya Layth ; Habeeb, Mustafa Abdulfattah ; Albahri, A. S. ; Al-Quraishi, Tahsien ; Albahri, Osamah Shihab ; Alamoodi, Abdullah Hussein
• An active learning framework for adversarial training of deep neural networks
  Ghosh, Susmita ; Chatterjee, Abhiroop ; Fiondella, Lance
• Conditional adversarial segmentation and deep learning approach for skin lesion sub-typing from dermoscopic images
  Mirunalini, P. ; Desingu, Karthik ; Aswatha, S. ; Deepika, R. ; Deepika, V. ; Jaisakthi, S. M.
• Efficient intrusion detection using multi-player generative adversarial networks (GANs): an ensemble-based deep learning architecture
  Soleymanzadeh, Raha ; Kashef, Rasha
• DRE: density-based data selection with entropy for adversarial-robust deep learning models
  Guo, Yuejun ; Hu, Qiang ; Cordy, Maxime ; Papadakis, Michail ; Le Traon, Yves
• Deep cross-modal discriminant adversarial learning for zero-shot sketch-based image retrieval
  Jiao, Shichao ; Han, Xie ; Xiong, Fengguang ; Yang, Xiaowen ; Han, Huiyan ; He, Ligang ; Kuang, Liqun
• Navier–stokes Generative Adversarial Network: a physics-informed deep learning model for fluid flow generation
  Wu, Pin ; Pan, Kaikai ; Ji, Lulu ; Gong, Siquan ; Feng, Weibing ; Yuan, Wenyan ; Pain, Christopher
• Novel adversarial semantic structure deep learning for MRI-guided attenuation correction in brain PET/MRI
  Arabi, Hossein ; Zeng, Guodong ; Zheng, Guoyan ; Zaidi, Habib
• Novel jet flavour tagging algorithms exploiting adversarial deep learning techniques with efficient computing methods and preparation of open data for robustness studies
  Stein, Annika ; Schmidt, Alexander ; Krämer, Michael 2024 Universitätsbibliothek der RWTH Aachen
• Analysis of Adversarial Examples
  Lorenz, Peter ; Köthe, Ullrich 2024 Universitätsbibliothek Heidelberg
• Exploring Hybrid CTC/Attention End-to-End Speech Recognition: Adversarial Robustness, Sinc Convolutions, and CTC Segmentation
  Kürzinger, Ludwig ; Rigoll, Gerhard ; Ney, Hermann 2024 Universitätsbibliothek der TU München
• Data-Driven Classification Methods for Craniosynostosis Using 3D Surface Scans
  Schaufelberger, Matthias ; Nahm, Werner ; Heizmann, Michael 2023 KIT-Bibliothek
• LiDAR Domain Adaptation - Automotive 3D Scene Understanding
  Triess, Larissa T. ; Zöllner, J. Marius ; Enzweiler, Markus 2023 KIT-Bibliothek