基于海明相似度与图拉普拉斯算子进行类别划分及对抗性图像检测（英文版）

英文标题：Hamming Similarity and Graph Laplacians for Class Partitioning and Adversarial Image Detection中文摘要：本文基于深度神经网络层次输出的矩阵，使用基于比特向量的表示方法，通过计算相似度分数矩阵建立图像集分离分类，并验证该方法对于神经网络研究及灵敏相似度分析的可行性。英文摘要：Researchers typically investigate neural network representations by examiningactivation outputs for one or more layers of a network. Here, we investigatethe potential for ReLU activation patterns (encoded as bit vectors) to aid inunderstanding and interpreting the behavior of neural networks. We utilizeRepres