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Found 3 papers, 1 papers with code
Simple black-box universal adversarial attacks on medical image classification based on deep neural networks
In particular, we propose a method for generating UAPs using a simple hill-climbing search based only on DNN outputs and demonstrate the validity of the proposed method using representative DNN-based medical image classifications.
Vulnerability of deep neural networks for detecting COVID-19 cases from chest X-ray images to universal adversarial attacks
As an example, we show that iterative fine-tuning of the DNN models using UAPs improves the robustness of the DNN models against UAPs.
Signal processing approach to mesh refinement in simulations of axisymmetric droplet dynamics
We propose a novel mesh refinement scheme based on signal processing for boundary integral simulations of inviscid droplet dynamics with axial symmetry.
Numerical Analysis Numerical Analysis 76B07, 76B45, 65M50
