An Iterative Adversarial Approach for Robust Inverse Problem Neural Networks
2024 IEEE Opportunity Research Scholars Symposium (ORSS)（2024）
关键词
Neural Network,Inverse Problem,Robustness Of Neural Networks,Machine Learning,Machine Learning Models,Noise Sources,MNIST Dataset,Mean Square Error,Training Set,Computational Efficiency,Gaussian Noise,Random Noise,Parametrized,Peak Signal-to-noise Ratio,Types Of Noise,Adversarial Training,Graphical Results,Adversary Model,Uniform Noise,Linear Inverse Problem,Different Types Of Noise,Set Of Perturbations,Adversarial Perturbations
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